Dr. Wolfgang Wein

CEO

Founder and CEO of ImFusion. He has 20 years of research experience in medical image computing and computer-assisted interventions, most of it in industry. After obtaining his doctoral degree from Prof. Navab's group in Munich, he worked a few years at Siemens Corporate Research in Princeton, NJ. He has conducted numerous projects from early feasibility to product implementation, providing innovative solutions for various clinical applications. From receiving the MICCAI Young Scientist Award in 2007, he has remained actively involved in the academic community with regular publications, and is also acting as adjunct professor for the faculty of computer science at Technische Universität München (TUM).

Dr. Alexander Ladikos

Head of Computer Vision
Head of Quality Management

Founding member and CTO of ImFusion with more than 15 years of experience in the areas of computer vision and medical image processing. Alexander obtained his PhD at Technische Universität München for work on multi-camera occlusion detection for robotic surgery environments. During this time he has been a visiting researcher at Telekom Laboratories in Berlin and INRIA Grenoble in France. His expertise spans a wide range of topics with a particular emphasis on 3D computer vision, 3D surface reconstruction and model based tracking. He has authored many scientific articles and patents and is a regular reviewer for all major computer vision and medical image processing conferences. He is also responsible for the ISO 13485 compliance and quality management processes at ImFusion.

Dr. Raphael Prevost

Senior Research Scientist
Head of Machine Learning

Raphael Prevost studied in France where he obtained a MSc. in applied mathematics and a MSc. in machine learning and computer vision in 2010. He then spent three years in Philips Research working on image segmentation during his PhD. He authored multiple articles, book chapters and patents; he is laureate of the Dauphine Foundation 2014 Award, received the AMIES 2014 Prize for research in mathematics with industrial impact, and the MICCAI 2015 best reviewer award.

Since 2013, Raphael has worked on various image analysis topics and has driven R&D in terms of image segmentation and machine learning at ImFusion.

Machine Learning Deep Learning Image Segmentation Optimization Applied Mathematics

Dr. Christian Schulte zu Berge

Senior Software Engineer
Head of SDK

Christian Schulte zu Berge holds a Diploma in Computer Science from the University of Münster where he graduated with his thesis on Diffusion Tensor Imaging visualization. He then pursued a PhD on real-time processing for advanced visualization of medical ultrasound at Technische Universität München and enriched his academic work with a stay at Siemens Corporate Technology in Princeton, NJ.

Christian joined the ImFusion team in 2016 where he combines his background on large-scale software development with his academic expertise in visualization and computer graphics.

Software Architecture Computer Graphics Visualization & Perception GPU Programming Ultrasound

Dr. Oliver Zettinig

Senior Research Scientist
Head of Ultrasound

Oliver Zettinig holds a Master's degree in Biomedical Computing and pursued his PhD on advanced, interventional ultrasound imaging techniques at Technische Universität München. During his academic career, he conducted research visits at Siemens Corporate Technology in Princeton, NJ, and Johns Hopkins University in Baltimore, MD, and received the MICCAI Young Scientist Award in 2013.

Oliver joined ImFusion in 2017 and strives to further push the boundaries in ultrasound-guided navigated procedures.

Ultrasound Imaging CAI / Interventional Navigation Medical Robotics Visual Servoing

Dr. Matthias Wieczorek

Senior Research Scientist
Head of CT and Interventional X-Ray

Matthias Wieczorek studied Computer Science at Technische Universität München and graduated with his thesis on Sparse regularization for Phase-Contrast Computed Tomography. Additionally, to these studies he holds a B.Sc. degree in Mathematics. He continued to work on problems related to modern Computed Tomography during his PhD on Anisotropic X-ray Dark-field tomography.

Matthias joined ImFusion in 2017 and continues to improve the value gained from tomographic imaging methods.

Optimization Applied Mathematics Visualization Software Engineering GPU Programming Cone-beam computed tomography

Dr. Marco Esposito

Senior Research Scientist
Head of Robotics

Marco Esposito holds a Master's degree in Computer Science from Technische Universität München, where he also pursued a PhD on Collaborative Robotic Medical Imaging. Previously he obtained a B.Sc. degree in Computer Engineering from the University of Pisa. During his academic career he conjugated research and contribution to the open source robotic community. His work was presented at top-tier conferences such as MICCAI and ROSCON, and received the IJCARS Best Paper Award.

Marco joined ImFusion in 2019, with the objective of making robots friendly and useful partners for doctors and surgeons.

Robotics Human-robot Interaction Interventional Imaging

Judith Kurzmaier

Finance Manager
Head of Operations

Judith Kurzmaier studied Biochemistry at Technische Universität München where she obtained her Bachelor's degree. First professional experience were gained in customer support at GOP Varieté Theater München. She completed her professional education as office management assistant at Drillisch Online GmbH where she afterwards joined the purchasing department. Judith joined ImFusion management team in 2019.

Markus Habert

Senior Software Engineer

Markus Habert studied Computer Science at Technische Universität München (TUM), completed internships in several industries and wrote his master thesis on multi-modal image registration with ImFusion. In 2014 he joined ImFusion as a full-time employee, where he employs his strong coding and software architecture skills combined with his medical imaging experience.

Software Engineering GPU Programming Image Registration

Olga Gavranovic

Senior Software Engineer

Olga Gavranovic obtained her Master's degree in Computational Science and Engineering at Technische Universität München. She wrote her thesis on augmented touch interfaces for head-mounted displays at the augmented reality company Metaio. Olga has been working as a full-time employee at ImFusion on surface reconstruction and industrial vision applications since late 2015.

Software Engineering Computer Vision Parallel Computing

Simon Jagoda

Senior Research Engineer

Simon Jagoda joined up with ImFusion part-time in 2014 while a master level student at LMU Munich's department of physics. He has since finished his thesis on radiative feedback and efficient simulation of laser-plasma interactions and became a full-time employee in 2016. There, he employs his skills especially for image reconstruction problems which require detailed understanding of acquisition physics.

Numerical Analysis Computational Physics Dynamic Systems Simulations

Dr. Marijn Stollenga

Senior Research Scientist

Marijn Stollenga graduated in Artificial Intelligence at the University of Groningen and pursued his PhD on Humanoid Perception and Control at the Swiss AI Lab IDSIA in the group of Prof. Jürgen Schmidhuber. From 2016 - 2018 he was a postdoctoral researcher at the TU München and worked on combining Virtual Reality and Machine Learning to train intelligent agents. He authored several papers applying deep learning in varying domains, ranging from automatic medical segmentation to robotic control. Marijn joined the ImFusion team in 2018 where he continues to apply his knowledge to new challenges.

Artificial Intelligence Machine Learning Deep Learning

Martin Matilla

Senior Software Engineer

Martin Matilla holds a Bachelor's Degree in Telecommunications and Audiovisual Systems and obtained his Master's degree in Computer Vision at Universitat Autonoma de Barcelona, Spain. His Master's thesis dealt with real-time rendering of 360º video featuring multiview stereo estimation for VR. Martin brings over four years of experience as a Research Developer in the field of Image Processing and Multiview Reconstruction. In 2019 he joined ImFusion where he consolidates his Computer Vision knowledge with his Software Development expertise.

Computer Vision Software Engineering Visualization

Dr. Mattia Lupetti

Senior Research Scientist

Mattia Lupetti studied Physics at the University of Pisa and pursued his PhD at LMU Muenchen at the chair of Computational and Plasma Physics, where he developed new concepts for imaging ultrashort laser pulses on nanostructured surfaces.

After four years working as Software Engineer in the Artificial Intelligence department at Brainlab, he joined ImFusion in late 2019, where he brings his experience in researching, prototyping and deploying Machine Learning models to solve new challenges in the field of medical image processing.

Deep Learning Machine Learning Software Engineering

Alexander Schwer

Senior Software Engineer

Alexander Schwer is a graduate of the University of Applied Sciences Augsburg (Dual Study of B.Eng. Electrical Engineering and Electronics Technician) and Technische Universität München (M.Sc. Electrical Engineering and Information Technology). He gained professional experience in Electrical and Software Engineering as a student at MAN Diesel & Turbo SE and Rohde & Schwarz, where he worked on 3D Posture Recognition and 3D Point Registration in Microwave Imaging. Alexander joined ImFusion in 2020.

Computer Vision Applied Mathematics Machine Learning Deep Learning

Ilja Manakov

Senior Research Engineer

Ilja Manakov studied Physics at Ludwig-Maximilians-Universität Munich where he completed the Medical Physics curriculum with a Master specialization. After graduating, he started his PhD in Computer Science at the chair for Database Systems and Data Mining, while being employed as a Research Scientist at the LMU University Clinic. In his PhD work, he focuses on Represenation, Self-Supervised and Unsupervised Learning. Ilja regularly authors scientific papers and received amongst others the Best Paper Award at MICCAI DART 2019. He joined ImFusion in 2020, where he contributes with his practical and theoretical knowledge to the deep learning team.

Deep Learning Applied Mathematics Medical Physics Representation Learning

Julia Rackerseder

Academic Liaison Manager

Julia Rackerseder holds a Master's degree in Bioinformatics from LMU and TU Munich. Since 2016 she has been a researcher and PhD candidate at the Chair for Computer Aided Medical Procedures with strong focus on multi-modal medical image registration and segmentation in a neurosurgical setting. Julia brings 6+ years of professional experience to ImFusion: she is Co-Founder of the NPO MedInnovate and has been Head of Human Centered Design at Konica Minolta from 2019 - 2020. Julia is certified Service Design Thinker and Manager for Regulatory Affairs. She joined ImFusion in 2021.

Mert Asim Karaoglu

Research Engineer

Mert Asim Karaoglu joined ImFusion as a working student in 2019. He completed his Master's studies in Biomedical Computing at TU Munich with a thesis about Adversarial Domain Feature Adaptation for Monocular Bronchoscopic Depth Estimation and became a full-time employee as of 2021. By joining ImFusion's Computer Vision group, he enriches the team with his expertise in learning-based methods and works on various 3D vision projects.

Computer Vision Deep Learning Domain Adaptation

Timo Horstmann

Software Engineer

Timo Horstmann completed his Master of Science at RWTH Aachen University with his thesis on Incorporating Domain Knowledge into Uncertainty Estimation for the Classification of Haematipoietic Cells. He joined ImFusion as a working student in April 2021, and since October 2021 he has been contributing his expertise as a full-time employee in our Machine Learning team.

Machine Learning Deep Learning Computer Vision

Dr. Nathanael Schilling

Senior Research Scientist

Nathanael Schilling holds Bachelor's degrees in both Computer Science and Mathematics and a M.Sc. in Mathematics, all from TU Munich. Since 2017 he has been PhD candidate in Mathematics at his alma mater, focusing his research on numerical and mathematical analysis of dynamical systems. Nathanael joined ImFusion's CT group in 2021, and contributes with his expertise to solving a wide range of challenges in that field.

Computed Tomography Mathematics High Performance Computing

Devan Pitches

Office Creative

Devan Pitches holds a Bachelor’s degree in Film and Digital Media from Deakin University in Melbourne (Australia). After completing his studies, he gained professional experience in office management as Operation Coordinator at a financial company in Melbourne. In 2016 he moved to Munich and began working as Office Creative at a software company, DAVID Systems. Here he divided his time between Marketing activities, moderating workshops and office management. Devan joined ImFusion as Office Creative in 2021, where he combines his creative background and office management skills to tackle new challenges.

Dr. Christian Gebhardt

Research Scientist

Christian Gebhardt holds a B.Sc. in Physics and Computer science and a M.Sc. in Physics, all from LMU Munich. He further participated in a master’s program in Technology Management at the Center for Digital Technology and Management, where he gained professional experience at projects with BMW and KONUX. During his PhD in the field of Biophysics and Bioinformatics, he focused on advanced data analysis methods in single-molecule microscopy and molecular modelling using multi-modal data analysis. Christian joined ImFusion in 2021.

Numerical Analysis Optics and Imaging Scientific Computing

Matteo Ronchetti

Research Engineer

Matteo Ronchetti studied Artificial Intelligence at the University of Pisa and graduated with his Master thesis on the Use of end-to-end differentiable models for the reconstruction of tomographies in noisy settings. He also holds a Bachelor’s degree in Mathematics from the Insurbria University, and is co-organizer of the “Machine Learning Milan” meetup group, which is the largest Machine Learning meetup in Italy. Matteo joined ImFusion in 2021.

Computer Vision Machine Learning GPU Programming

Thomas Kanzok

Senior Software Engineer

Thomas Kanzok studied Computer Science at Chemnitz University of Technology (CUT) where he graduated with his thesis on Virtual Reconstruction of Vessels from 3D-Scanned Potsherds. He gained professional experience working at as a Research Associate at CUT on visualization of large point clouds, before joining Carl Zeiss Optotechnik GmbH, where he developed algorithms and software libraries for processing and inspecting data acquired by optical surface measurement systems. Thomas joined ImFusion in 2021 and contributes with his expertise in 2D/3D data processing and visualization.

Computer Graphics Software Engineering Computational Geometry Mesh Processing

Dr. Victoria Engemann

Quality and Regulatory Affairs Manager

Victoria Engemann studied at TU Darmstadt where she obtained a MSc. in Chemistry. During her Ph.D. she studied on the development of cell-based assays, protein chemistry and microfluidics. She gathered first professional experience in the field of regulation of digital medical devices at Ruma GmbH in Cologne and is TÜV-trained for Expert Technical Documentation of Medical Devices. Additionally, Victoria is a a certified Scrum Master. Victoria joined ImFusion in 2022 as Quality and Regulatory Affairs Manager.

Junan Chen

Research Engineer

Junan Chen studied Physics at the Technische Universität München (TUM), where he wrote his master's thesis on dual-energy X-ray dark-field computed tomography. He gained research experience as research assistant and working student at the University of Michigan EECS Department, TUM E17 and Nankai University. He also holds a bachelor degree in Physics from the Nankai University, China.

Software Engineering Cone-beam computed tomography

Dr. Maria Tirindelli

Senior Research Scientist

Maria Tirindelli graduated in Biomedical Engineering at the Politecnico of Milano, Italy with a B.Sc. thesis on Respiratory motion modelling from Cone-Beam CT and a M.Sc. thesis on Catheter segmentation in 3D Ultrasound volumes. After graduating, she spent one year and a half in the computer vision team of TeiaCare, an italian startup. She then joined Prof. Navab's Chair at the TU Munich, where she obtained her PhD with a thesis on multisensory navigation solutions for Robotic-Ultrasound. Maria joined ImFusion as full-time employee in June 2022.

Robotics Computer Vision

Dr.-Ing. Steffen Schuler

Research Scientist

Steffen studied Electrical Engineering and Information Technology at Karlsruhe Institute of Technology (KIT). In his Bachelor's and Master's theses, he developed computer simulations to gain a better understanding of electrical, elastomechanical and hemodynamical phenomena in the human heart. During his PhD, he worked on electrocardiographic imaging and received the Rosanna Degani Young Investigator Award at Computing in Cardiology 2019. Steffen joined ImFusion in 2022, where he uses his expertise on image-based computer modeling and inverse problems to contribute to the Ultrasound and CT groups.

Numerical Analysis Computational Physics Dynamic Systems Simulations

Dr. Rafael A. Rojas

Senior Research Scientist

Rafael Rojas graduated in Mechanical engineering at the Sapienza University of Rome with a MSc thesis on biped locomotion implemented in the Nao Robot. He pursued his PhD in Applied and Theoretical Mechanics at his alma mater, where he focused his research on the application of non-traditional methods of optimal control theory in vibration control and energy harvesting. From 2017-2020 Rafael served as research assistant at the Free University of Bozen and worked on Robotics applications and Optimization for Motion planning in Robotics. He also spent three years as scientific collaborator at the Fraunhofer Italia Research working on CI/CD methodologies for robotics and control systems. He joined ImFusion’s Robotics team in 2022.

Robotics Computer Vision

Dr. Van Nguyen

Research Scientist

Van Nguyen holds a Bachelor’s degree in Engineering from the Hanoi University of Science and Technology, Vietnam, and a Master’s degree in Information Science from the Tohoku University in Sendai, Japan. Since 2017, she has been PhD candidate in Physics at the University of Antwerp with her research focused on 4D X-ray Computed Tomography. Van obtained first professional experience in the fields of media and telecommunications at Mekong media and Vietnam Posts and Telecommunications Group. In 2022 Van joined ImFusion’s CT group where she applies her expertise to new challenges.

Deep learning Software Engineering Computed Tomography

Dr. Maximilian Pietsch

Senior Research Scientist

Max obtained an MSc in Physics from Julius-Maximilians Universität Würzburg and an MPhys degree in Lasers and Optoelectronics from Heriot-Watt University, Edinburgh. For his master thesis, he studied colocalization and molecular clusters in immunological synapses using direct Stochastic Optical Reconstruction Microscopy data. During his Ph.D. studies at King’s College London, Max developed advanced diffusion MRI analysis methods to study the neonatal brain. Continuing as Research Associate at King’s College London, he developed machine learning methods for the analysis of placental MRI relaxometry and fetal and infant brain diffusion MRI. He joined ImFusion in 2022.

Deep Learning Machine Learning Software Engineering

Dr. Federico Gnesotto

Senior Software Engineer

Federico Gnesotto studied Physics at the University of Padova (Italy) and at the LMU Munich. After his Master Thesis on Active-Matter he decided to pursue a PhD in Biophysics at the chair of Statistical and Biological Physics of the LMU Munich. After graduating in 2020, he decided to take on a new challenge and joined Brainlab as a Software Engineer to work on segmentation and fiber-tracking algorithms and services. Federico joined ImFusion in the fall of 2022: he is looking forward to combining his physics-expertise with his software engineering skills to solve new challenges in the medical imaging field.

SDK Software Engineering Statistical Physics Agile Methods

Martín Axelrad Tinoco

Software Engineer

Martín joined ImFusion as a working student in April 2020. Since November 2022, he has been working as a full-time employee after finishing his studies in Biomedical Computing M.Sc. at TU Munich. Martin developed his thesis, 'Deep Reinforcement Learning for Facet Joint detection using Robotic Ultrasound,' and currently contributes his expertise to robotic and ultrasound-related projects.

Reinforcement Learning Ultrasound Robotics

Viktoria I. Markova

Software Engineer

Viktoria joined ImFusion as a working student in March 2020. Since December 2022, she has been working as a full-time employee after finishing her studies in Informatics; Machine Learning, Software Engineering, Medical Applications M.Sc at the Technical University of Munich. Viktoria developed her thesis with us, ' Global Multi-modal 2D/3D Registration via Local Descriptors Learning', and due to her experience gained in her study years and her exchange at the University in Waterloo, she is currently contributing to ultrasound related projects.

Ultrasound Software Engineering Machine Learning

Andreas Baar

Human Resources Manager

Andreas Baar, an HR Manager with valuable experience in the field. Prior to his current position, Andreas worked as Human Resources Manager at surgery and reference institutions specialized on mammography and breast cancer, as well as Administrative Employee at the Bavarian medical association. He holds a B.Sc. degree in Healthcare Management from Hochschule Rosenheim and had the opportunity to do part of his studies at ICHEC Brussels Management School, Belgium. Andreas is committed to create a positive work environment that promotes growth and development for all team members. He joined ImFusion as HR Manager in February 2023.

Healthcare Management Human Resources

Ehsan Shafiei

Software Engineer

Ehsan Shafiei holds a MSc. in Informatics, focused on Artificial Intelligence and Robotics at the Technical University of Munich (TUM). After his Master Thesis on 3D Computer Vision and Machine Learning, he decided to take on a new challenge and joined Bleenco as the team lead for Machine Learning. In June 2023, Ehsan joined ImFusion team bringing his software engineering computer vision skills to solve new challenges in the medical imaging field.

SDK Software Engineering Robotics

Dr. Samuel Joutard

Research Scientist

Samuel completed his BSc and MSc degrees in Applied Mathematics at CentraleSupelec, as well as an additional MSc degree in Computer Science at Ecole Normale Superieure Paris Saclay. He pursued a PhD at King's College London, where he specialized in abdominal registration and cultivated a profound interest and expertise in medical applications. Throughout his academic journey, Samuel honed his skills in both deep learning and traditional modeling approaches, positioning him as a versatile expert in the field of medical image analysis. He joined ImFusion Machine Learning team in July 2023.

Deep Learning Machine Learning Mathematics

Dr.-Ing. Max-Heinrich Laves

Senior Research Scientist

Max completed his BSc and MSc in Mechanical Engineering with a strong focus on medical technology at the Leibniz Universität Hannover, Germany. During his Master's, he worked on soft tissue tracking in stereo endoscopy. He completed a PhD at the same university, where he worked on uncertainty estimation and calibration with Bayesian neural networks in medical imaging. Subsequently, Max held a postdoc position at the Technical University Hamburg, where he continued to apply machine learning to medical applications. Before joining ImFusion in July 2023, Max was a research scientist at Philips Research in Hamburg, where he worked on fracture detection and image formation in CT and MRI.

Deep Learning Machine Learning CT MRI

Dr. Salah Eddine Kabbour

Software Engineer

Salah obtained an MSc. in Complex Systems Engineering and an MSc in Human-Machine Systems from Lorraine University, France. For his master's thesis, he studied human-machine systems engineering. During his Ph.D. studies at CentraleSupelec Rennes France, Salah worked on Human Ear 3D Reconstruction Using a Cell Phone Camera. Continuing as a Research Engineer at Groupe Créative in Rennes, France, he worked on robot exploration and reconstruction in unknown environments. He joined ImFusion in July 2023.

Computer Vision Software Engineering

Nikola Budjakoski

Research Engineer

As a master's graduate in Biomedical Computing at the Chair for Computer Aided Medical Procedures, Nikola gained experience in medical imaging technologies, image processing, and augmented reality interfaces. Having completed a bachelor's degree in Computer System Engineering Automation and Robotics, Nikola has experience in industrial robotics and discrete manufacturing. As a Research Assistant for Visual Servoing in Human-Robot Collaboration at the German Aerospace Center, he has extended his theoretical knowledge with hands-on knowledge in different control strategies, mathematics, C++ and Python programming, machine learning, and robotics. Nikola joined ImFusion in October 2023, aiming to develop solutions to improve the standard workflow in robot-assisted interventions.

Robotics Visual Servoing Human-Robot Collaboration Learning from Demonstration

Rüdiger Göbl

Research Scientist

Rüdiger completed his MSc in Computer Science from the Technical University of Munich (TUM) and has a strong focus on ultrasound, software engineering, GPU programming and medical image reconstruction. He gained valuable professional experiences as Senior Ultrasound Software Engineer at LUMA Vision as part of the software team, creating innovative ultrasound-based imaging solution for the cardiac space and as Research Assistant at the Chair for Computer Aided Medical Procedures at TUM. Rüdiger joined ImFusion in December 2023 and contributes his advanced skill set to our Ultrasound team.

Ultrasound Software Engineering GPU Programming Medical Image Reconstruction

Davide Mameli

Senior Software Engineer

Davide holds a Master’s degree in Automation Engineering from the University of Pisa focused on Control Systems, Robotics and Mechatronics. He gained first valuable C++ and Computer Vision experience during his additional project on hand pose reconstruction from RGB-D images and during his Master's Degree thesis researching threat detection techniques for Unmanned Aerial Vehicles. In addition, he has matured 7+ years’ professional experience in designing and implementing real-time software and algorithms in the fields of Computer Vision, Machine Vision, Image Retrieval, Augmented Reality and Eye Tracking. Davide joined ImFusion's Machine Learning team in January 2024.

Computer Vision Software Engineering Real-time Computing

Martin Vymazal

Senior Software Engineer

Martin Vymazal holds an M.Sc. in mechanical engineering and specialized in numerical simulation of fluid flow from the Czech Technical University in Prague. He continued his academic career in this field with a PhD in computational fluid dynamics from Free University of Brussels in 2015. As Postdoctoral Research Associate, Martin was involved in simulation of fluid flow, solving Navier-Stokes equations with numerical methods, at Imperial College in London. Afterwards, he also completed a M.Sc. in artificial intelligence from the Queen Mary University in London. His strong academic background is paired with experiences in industry, e.g. Martin worked in a computer vision startup in London that develops software for person re-identification and another computer vision startup that makes driver monitoring systems. Martin joined ImFusion in February 2024 where he contributes his expertise to our Computed Tomography team and to our Anatomy and Spine projects.

Software Engineering Applied Mathematics Machine Learning

Oleksandra Tmenova

Software Engineer

Oleksandra, known as Sasha, graduated with an honors Bachelor's degree in computer science from Taras Shevchenko National University of Kyiv. She delved into biomedical research through internships at ÉTS Montreal and OIST. Sasha specialized in medical applications, obtaining a Master’s in Biomedical Computing from Technical University of Munich. Her thesis focused on unsupervised ultrasound segmentation using deep spectral methods. With experience as a Medical Software Developer at SurgicEye, Sasha now applies her skills at ImFusion since April 2024, contributing to the Machine Learning and Ultrasound teams.

Software Engineering Machine Learning Computer Vision

Maximilian Schlögel

Software Engineer

Maximilian Schlögel graduated the Elite Bachelor’s program in mathematics of the University of Augsburg and the Technical University of Munich in 2018 and moved onto more practical fields with a M.Sc. in Artificial Intelligence from the University of Amsterdam with his thesis about domain translation on CT scans. From 2021 he gained further professional experience working as Data Scientist at the Max Planck Institute for the Science of Light in Erlangen, where he applied Deep Learning model on blood cell images. Maximilian joined ImFusion in April 2024 and contributes with his expertise in software engineering and deep learning to our Machine Learning team.

Software Engineering Deep Learning

Ahmed Abbas

Senior Research Scientist

Ahmed holds PhD from Saarland University Germany. During his PhD he performed research at Max Planck Institute for Informatics in the topics related to discrete optimization, machine learning and computer vision. During his industrial career, Ahmed was employed by ZEISS, Germany where he performed applied research in the areas related to 3D reconstruction and industrial manufacturing. Moreover he also worked at LMKR in Pakistan where he developed image processing algorithms for subsurface data analysis for oil and gas exploration. Ahmed joined ImFusion in May, 2024

Computer Vision Mathematical Optimization Machine Learning Parallel Computing

Duofan Jiang

Software Engineer

Duofan Jiang studied Automation in a Dual Master's Program jointly offered by TU Berlin and Shanghai JiaoTong University. He graduated with a thesis on 3D Object Recognition using RGBD Camera. Duofan gained his initial professional experience at Carl Zeiss Optotechnik GmbH, where he developed algorithms for image processing and robotics, in addition to maintaining existing code for a large industrial software. Duofan joined the Vision team in May 2024 as a Senior Software Engineer specializing in Computer Vision.

Computer Vision Software Engineering Robotic

Alejandro Nespereira

Software Engineer

Alejandro holds a Master’s degree in Computer Vision from the Universitat Autònoma de Barcelona, where he completed his master’s thesis on Deep Learning for Recognition of 3D Objects on Mobile Devices in collaboration with Catchoom. Before joining ImFusion, Alejandro honed his expertise as a Senior Software Engineer at Naska.AI and Claitec SL, driving innovative projects in AI and vision technologies. As a seasoned expert in Machine Learning and Computer Vision with over 8 years of professional experience in software engineering, Alejandro brings a deep understanding of cutting-edge technologies and a passion for solving complex challenges to our Ultrasound team since November 2024.

Software Engineering Applied Mathematics Robotics

Dr.-Ing. Lisa Hug

Research Scientist

Lisa Hug holds a Master’s degree in Simulation Technology from the University of Stuttgart and completed her PhD in Computational Mechanics at TU Munich, focusing on patient-specific bone fracture predictions using mechanical simulations based on medical CT scans. During her PhD, she completed a research stay at Tel Aviv University, collaborating on interdisciplinary projects in biomechanics and computational methods. As a Research Scientist from 2018-2023 at TUM, Lisa gained extensive experience managing projects within international and interdisciplinary teams. Her contributions to CT scan-related projects further solidified her expertise. With a strong foundation in Numerical Analysis, Scientific Computing, and a passion for interdisciplinary research, Lisa joined our CT team in January 2025.

Numerical Analysis Scientific Computing

Dr. Sebastian Rosenzweig

Senior Research Scientist

Sebastian Rosenzweig completed his M.Sc. in Physics with a focus on Biophysics and Complex Systems, followed by his Ph.D. in 2020 on image reconstruction for multi-dimensional cardiac magnetic resonance imaging, which included a research stay at Boston Children's Hospital. Both degrees were obtained from the University of Göttingen. After completing his Ph.D., Sebastian worked as a Research Scientist at Skope Magnetic Resonance Technologies, where he specialized in MR system characterization, artifact reduction, and improving image quality for Canon MR systems. During this time, he honed his skills in various R&D projects, including the development of machine-learning-based algorithms for image reconstruction and artifact suppression in MR imaging, as well as pro- and retrospective signal correction. With his expertise in MRI, medical image reconstruction, and machine learning, he has been contributing to our Ultrasound team as a Senior Research Scientist since January 2025.

MRI Medical Image Reconstruction Machine Learning

Mathieu Vallée

Senior Marketing Manager

Mathieu Vallée is a seasoned marketing professional with over 20 years of experience specializing in strategic marketing, campaign management, and digital content creation. With a degree in Marketing and Communications from the University of Ottawa, Mathieu began his career in the Canadian Federal Government, contributing to key initiatives at Health Canada, Environment Canada, and Industry Canada. He later transitioned to the med-tech industry, serving as a Senior Marketing Manager at Brainlab, where he played a pivotal role in marketing the spine portfolio, including robotics, imaging, and mixed reality solutions. Known for his ability to translate complex technologies into compelling, customer-focused narratives, Mathieu excels in driving innovative, data-driven marketing strategies in dynamic, fast-paced environments.

Marketing Strategy Communications Campaign Management Social Media

Berfin Kavşut

Working Student

Berfin currently studies MSc. Biomedical Computing at the Technical University of Munich, focusing on image processing, medical image reconstruction, deep learning, and AI in medicine. She gained professional experience as project team member at DataBoss where she worked on Anomaly-Based Network Intrusion Detection System using Big Data. Berfin holds a Bachelor’s degree in Electrical and Electronics Engineering from Bilkent University in Ankara, Turkey. She joined ImFusion in August 2022 as working student.

Image Processing Medical Image Reconstruction Deep Learning

Pascual Tejero Cervera

Intern

Pascual holds both a Bachelor's and Master's degree in Biomedical Engineering from the Polytechnic University of Valencia (UPV), as well as a Master's in Biomedical Computing from the Technical University of Munich (TUM). During his time as an AI researcher at the AI in Medicine (AI-Med) Lab at TUM, he completed a Master's thesis focused on Continual Learning for 3D Organ Detection. Pascual also gained valuable industry experience at Walaris (Diehl Gruppe), working as a student in AI and computer vision, where he optimized advanced object detection models. With expertise in computer vision, object detection, image segmentation, and organ detection, Pascual joined us in September 2024 as an intern. He is now contributing his knowledge and passion to our Machine Learning team, where he investigates the potential of large pre-trained models to speed up and improve the training of models for medical imaging.

Machine Learning Deep Learning Organ Detection Image Segmentation

Marc Balle Sanchez

Intern

Marc holds a Bachelor's degree in Electronics and Automation Engineering and a Master's in Intelligent Systems from the University of the Balearic Islands, with a thesis on brain tumor segmentation in MRI scans using deep learning. Currently, Marc is pursuing a Master's in Biomedical Computing at the Technical University of Munich (TUM). Alongside his studies, he worked as a Student Assistant at the Interdisciplinary Research Lab, Camp Chair at TUM, contributing to convolutional neural networks (CNN) for image denoising in diffusion MRI images and collaborating on a spine segmentation and vertebrae labelling project. Before joining his current role, Marc gained valuable experience as a working student at LUMA Vision, where he worked on deep learning-based 2D ultrasound image registration and the development of a data curation tool. His expertise lies in medical image processing, deep learning, and computer vision. Marc joined ImFusion in September 2024 as intern, bringing his skills to our Machine Learning team, where he investigates new methods for network conditioning using hyper-networks.

Computer Vision Deep Learning Medical image processing