Scientific image analysis
Co-head of Image and Data Analysis at the Scientific Center for Optical and Electron Microscopy at ETH Zurich, supporting microscopy-centered research with quantitative image analysis and data interpretation.
Scientist / Entrepreneur / Angel Investor
Senior Staff Scientist and Co-head of Image and Data Analysis at ETH Zurich, independent consultant at Harvard Medical School, ex-CEO, serial entrepreneur, and investor working where Life Sciences meet Computer Science.
Worked in labs at ETH Zurich, Harvard Medical School, Humboldt University Berlin, MIT, and INRIA.
Co-founded companies including Tooploox Research, Histopixel, and Cat-astrophe Games.
Advised Bones Studio, MobilWay, and ZOWIE.
Szymon Stoma works at the multidisciplinary interface of Life Sciences and Computer Science, focused on bioimage analysis and artificial intelligence. His work connects advanced microscopy, data interpretation, AI-driven research workflows, consulting, and startup R&D.
Brief Bio
Current Focus
Co-head of Image and Data Analysis at the Scientific Center for Optical and Electron Microscopy at ETH Zurich, supporting microscopy-centered research with quantitative image analysis and data interpretation.
Ex-CEO of Tooploox Research, previously MicroscopeIT, a software house specializing in R&D, AI, and computer vision. He led the merger with Tooploox and later headed a 30+ person R&D department.
Independent consulting at Harvard Medical School on DARTS, an ARPA-H-funded antibiotic resistance program led by the Paulsson Lab, focused on image analysis and data workflows for high-throughput bacterial mother-machine experiments.
Institutions
Academic
Founded Companies
Selected Activities
Co-producer of the game sequel, released on Steam by Eneida Games and Cat-astrophe Games.
Strategic R&D advisory work behind motion-data infrastructure later reflected in BONES-SEED, linked to the Bones Studio robotics data stack.
Co-founder of Essential Vision, an open-source mixed-reality platform for teaching anatomy, simulation, and visual models.
Co-founder of an international school on image and data analysis for life scientists; see zidas.org.
Co-founding and community work across SwissBIAS, NEUBIAS, and GloBIAS, connecting analysts, training, and open resources.
Co-founder of CellStar and the Evaluation Platform for long-term tracking of budding yeast cells.
Founder and main developer of STSE, the Spatio-Temporal Simulation Environment for biological modeling, image-derived geometry, and simulation.
Founder of the Yeast Image Toolkit, a software collection for yeast microscopy image analysis.
Selected Hands-On Examples
INRIA / PhD
Growing meristem
Auxin transport, mechanics, and phyllotactic pattern formation in a simulated meristem.
HU Berlin / Postdoc
Aquaporin dynamics
Postdoc-era modeling work around membrane transport and plant-development mechanisms.
INRIA / Postdoc
Tissue reconstruction
Volumetric image analysis and reconstruction of complex biological tissue.
MIT / Visiting Scientist
GOL simulation
Multi-agent growth simulation connecting rule-based dynamics with image-analysis thinking.
MIT / Visiting Scientist
Yeast colony
Segmentation, tracking, and growth analysis for microscopy time-lapse data.
ETH / Staff Scientist
Essential Vision
Mixed-reality anatomy, simulation, and guided-learning work for HoloLens-style teaching environments.
Selected Publications
Selected Teaching
Available For
Open to conversations about thoughtful work at the edge of bioimage analysis, AI, life sciences, pharma, robotics, and company building. Best reached via LinkedIn.