I am the principal developer of Goo, a one-stop software to simulate cell mechanics, molecular communication and gene regulatory networks in 3D inside Blender.
I research on computational methods to make sense of high-dimensional datasets of microscopy images.
I teach several workshops about digital image analysis at Harvard Medical School. The QuPath workshop is back this semester! More info.
These items are a collection of companies and student associations I have worked for, projects I've undertaken, and code I've written. They include things like:
I strive for research so beautiful it is mistaken for art, and art so technical it is mistaken for science.
My formal education is in Bioengineering (B.Sc., 2020), then in Bioinformatics (M.Sc., 2023) and in Computer Science (A.L.M., present). As for my research, it has spanned: machine learning for genome mining, computer vision for microscopy image analysis, 3D simulation of embryonic development, and medical device development for remote tissue evaluation.
I joined Harvard University as a computational biologist in 2023, after spending a year as a visiting research fellow in the department of systems biology.
Favorite tools:
2024 Bisconti Award
My project on large synthetic datasets to train foundation models for cell segmentation was awarded with the 2024 Bisconti Award ($50.000) by the Core for Computational Biomedicine at Harvard University.
2023 Blender Conference
I gave a talk at the 2023 Blender Conference in Amsterdam about my research on simulating cells and tissues in 3D. Watch the recording here.
Moving to Boston, MA
I joined the groups of Prof. Sean Megason and Dr. Simon Nørrelykke (Image Analysis Collaboratory) at Harvard Medical School as an Associate in Systems Biology.
antoine_ruzette AT hms.harvard.edu
