Tristan Lazard
Researcher at Microsoft Research Cambridge
I am a researcher at Microsoft Research Health Futures in Cambridge, working on interpretability for scientific discovery in biology. Before that, I completed my PhD in Computer Science at Mines ParisTech / PSL University, supervised by Pr. Thomas Walter and Pr. Etienne Decencière at the CBIO lab. My research focuses on representation learning for computational pathology, model interpretability, and AI-driven biomarker discovery.
Feel free to reach out — I am always happy to discuss science and collaborations!
news
| Jun 01, 2025 | I joined Microsoft Research Health Futures in Cambridge, working on interpretability for scientific discovery in biology! |
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| Jan 01, 2025 |  Our paper on predicting intrahepatic cholangiocarcinoma transcriptomic classes from routine histology using self-supervised learning is published in JHEP Reports! Beyond validating SSL-based molecular subtyping on both biopsies and surgical specimens, we uncover an intriguing influence of training-set constitution: good molecular alignment appears more beneficial than raw data quantity for learning meaningful representations. |
| Nov 29, 2023 |  I successfully defended my PhD thesis! Manuscript; Slides. |
| Jun 20, 2023 |  Won 3rd place in the VisioMel Challenge: Predicting Melanoma Relapse, organized by the Health Data Hub and the French Society of Pathology. Write-up and code. |