cv
CV of Tristan
Basics
| Name | Tristan Lazard |
| Label | Researcher at Microsoft Research |
| trislaz.tl@gmail.com | |
| Url | https://trislaz.github.io/ |
| Summary | Researcher at Microsoft Research Health Futures in Cambridge, working on interpretability for scientific discovery in biology. After completing my undergraduate studies in biology at ENS Ulm, I pursued a Master's in Applied Mathematics at Sorbonne University, then earned my PhD from CBIO at Mines ParisTech / PSL University. My research bridges biology, mathematics, and computer science, with a focus on representation learning, model interpretability, and AI-driven biomarker discovery from large-scale microscopy images. |
Education
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2018 - 2019 Paris, 75006
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2016 - 2017 Paris
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2013 - 2016 Paris
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2011 - 2013 Paris
Work
- 2025.06 - Present
Postdoctoral Researcher
Microsoft Research, Health Futures
Working on interpretability of large multimodal models for scientific discovery in biology. Contributing to agentic frameworks for automated histopathology analysis.
- 2019.12 - 2023.11
PhD Candidate
CBIO - Mines-Paristech
During my PhD, I focused on training predictive models from Whole Slide Images of cancerous tissues. Besides their clinical use, my goal was to understand these models to improve our understanding of the disease. I also worked on developing unsupervised techniques to train representations of these biological samples. This effort resulted in 5 papers, 1 patent, and a prize-winning solution at an international data challenge, Visiomel.
- 2019.01 - 2019.07
Engineering Intern
CMM, Mines-Paristech
In partnership with L’Or´eal, I created an algorithm for automatically counting melanocytes in microscopic images. This solution has been integrated into the processing pipeline and is now utilized in regular research.
- 2018.01 - 2018.08
Research Intern
IBPS, Sorbonne University, AIRE team
I developed an algorithm for calculating phylogenetic trees from large-scale genetic sequence data (-omics data).
- 2017.03 - 2017.07
Research Intern
Collège de France, SMILE team
I worked on a model of random mutualistic network. I studied its asymptotic behaviours and developed an algorithm to infer its parameters from a sampled network.