Jean-Philippe Vert

🚀 Big News: @bioptimus_ai launches world-class Scientific Advisory Board to pioneer universal AI models for biology! Read more: bioptimus.com/news/bioptimus…

If you're curious of what is "behind a term sheet", don't miss this account by the @Cathayinnov team who led our recent series A at Bioptimus medium.com/cathay-innovat…

🎉 Excited to share that we've just hit a $76M funding milestone for @bioptimus_ai , with a fresh $41M round to build the first multiscale foundation model of biology: bioptimus.com/news/bioptimus…

Back in SF for #JPM25! Eager to explore and discuss the cutting-edge advancements of AI in healthcare. 🧘‍♀️And to beat jet lag next Monday, nothing better than a free charity fitness class hosted by @OwkinScience at the Equinox Sports Club in San Francisco owkin.com/connect/fitnes…

I've been eagerly awaiting this book for years! At last, a standalone and meticulous exposition of the current mathematical principles of machine learning, adorned with beautiful proofs. Well done and thank you, @BachFrancis . Discover more here: francisbach.com/my-book-is-out/

@OwkinScience and @Servier AI hackathon for Glioblastome research (the deadliest form of brain tumor). We need you, please apply and come to Paris to help move the needle! owkin.com/connect/gliobl…

Honored to join @AcadTechnolog (National Academy of Technologies of France)! Grateful to my teachers, students, and collaborators over the years. I’ll strive to advance thoughtful, inclusive progress in tech and help society understand innovations like AI. buff.ly/4gDbvYP

18 nouveaux membres élus à l’Académie des technologies academie-technologies.fr/presse/18-nouv…

Catch my talk at the CZI virtual cells AI workshop at #NeurIPS24 to gain insight into how we develop the foundational elements of AI for biology at @Bioptimus and how we apply them at @Owkin to add value throughout the entire drug development process: buff.ly/4gbRRUf

I'm heading to #NeurIPS24 in Vancouver next week. Ping me if you'd like to meet up for a ☕ (preferably a ristretto for me...) and discuss how AI is transforming biology, or delve into more hardcore ML topics!

@bioptimus_ai releases H-optimus-0, the largest #opensource AI foundation model for histopathology! - code: github.com/bioptimus/rele… - press release: businesswire.com/news/home/2024… Enjoy! Congrats Charlie Saillard @RJenatton @FelipeLlinares @ZeldaMariet @DavidCahane @ericdurand

Wondering if AI can learn the language of life? Come join the @bioptimus_ai crew to joyfully change the world and shape the future of biology and medicine with AI foundation models! Check out bioptimus.com/careers for roles in engineering, data science, product, operations...

@bioptimus_ai in good company! Thank you Mr President 🚀

In case you missed it @bioptimus_ai: We are looking for the best talents (ML/biology/large-scale infrastructure) to join our fantastic technical team @ZeldaMariet @FelipeLlinares @jeanphi_vert 👉 Bioptimus.com/careers

Excited by the launch of @bioptimus_ai , early-stage well-funded start-up to build the first universal AI foundation model of biology! We actively recruit software engineers, research scientists and more, please check out bioptimus.com/careers

Introducing @mosaic_research – a groundbreaking $50 million research initiative in partnership with @nanostringtech, @PittTweet, @GustaveRoussy @CHUVLausanne, @ChariteBerlin, @Uniklinikum_ER, aiming to create the largest #spatial atlas of cancer cells. Featured by @FT, this ambitious project employs unparalleled #spatialomics and #AI technologies to map cancer cells and their immune environment with precision to unlock breakthrough treatments for patients. Read more at markets.ft.com/data/announce/…

@BorisMuzc @wolfgangkhuber @biorxiv_bioinfo @mikelove @OwkinScience In the future there may be more drift between the two implementations, so indeed let us keep it clear that they are different implementations of the same model. More head-to-head comparisons and shared unit tests will surely help improve both versions, for the benefit of all! [3/

@BorisMuzc @wolfgangkhuber @biorxiv_bioinfo @mikelove @OwkinScience Indeed DESeq2 and PyDESeq2 output very similar, but not exactly the same results, as shown in the paper. E.g., because they rely on different optimization packages (see Fig 1C in the paper), or different random number generators. [2/3]

PyDESeq2: a python package for bulk RNA-seq differential expression analysis biorxiv.org/cgi/content/sh… #biorxiv_bioinfo