Hadrien Mary (@HadiM_) header
Hadrien Mary (@HadiM_) profile picture

🔬 Deputy CTO @ BeLiver | 🧬 Decoding Biology for Precision Oncology | Former @valence_ai @RecursionPharma |🌴 https://nitter.gq/t.co/BojSDHhBjN

Bordeaux, France
Joined April 2009
Hadrien Mary retweeted
A socratic dialogue over the utility of DNA language models (Part 2 of 2) link is here: owlposting.com/p/a-socratic-… part 2 is out! this time focused on genome generation. i think i tie myself a bit more to Evo 2 specifics to explain this, but i try to explain the context of the field too. maybe too much context, given that this post is 4.9k words part 1 was focused on variant pathogenicity prediction. which was interesting, but left me feeling a bit unsure about the point of these types of models. especially given that conservation scores weren't too far away in nearly matching accuracy i think the role of DNA language models in genome generation is a fair bit more interesting, since there's no reliable, wet-lab method to really do it at scale...other than to train a black box model on to do exactly that. its definitely early days and the results given here aren't especially actionable to anybody, but i think ive updated a fair bit more positively to the prospect of models like Evo 2. it feels very much like the blue sky research that places like the @arcinstitute should be pursuing
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Hadrien Mary retweeted
Valence Labs is actively hiring across multiple roles! We’re looking for Research Engineers, Research Scientists, a DevOps Engineer, and a Community Manager. Join us in pushing the frontier of AI research in drug discovery. valencelabs.com/careers
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Hadrien Mary retweeted
Nailed it. Talked about this last week at ICML (youtu.be/g2rHFQcOqqI?t=515) If anyone's thinking seriously about building better benchmarks in drug discovery, @HadiM_ and I would love to chat 👋 Got some projects cooking at @valence_ai
The latest Practical Cheminformatics post, "We Need Better Benchmarks for Machine Learning in Drug Discovery", turned into a bit of a rant, but I had a lot I needed to say. #might_ruffle_some_feathers practicalcheminformatics.blo…
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The latest Practical Cheminformatics post, "We Need Better Benchmarks for Machine Learning in Drug Discovery", turned into a bit of a rant, but I had a lot I needed to say. #might_ruffle_some_feathers practicalcheminformatics.blo…
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Hadrien Mary retweeted
There is challenging and exciting work to be done, and we hope that you feel inspired to join us in writing this next chapter. Read the full story: valencelabs.com/our-story (5/5)
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Hadrien Mary retweeted
As we build, we will remain steadfast in our commitment to open source and open science. We are deeply committed to the machine learning community. Stay tuned for the release of data, tools and infrastructure in the near future! (4/5)
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Hadrien Mary retweeted
This is just the beginning. Combining the intellectual freedom of academia with the resources and stability of industry, Valence Labs will take a long-term view on technology development, working at the frontiers of #machinelearning and therapeutic discovery. (3/5)
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Hadrien Mary retweeted
We are committing up to $1 million to advance the next generation of academic machine learning research and talent through scholarships, fellowships and more. Learn more about the Valence Scholars program & apply now: valencelabs.com/careers?gh_j… (2/5)
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Hadrien Mary retweeted
Today we begin our new journey as Valence Labs: a semi-autonomous research engine within @RecursionPharma, dedicated to advancing the frontier of deep learning in #drugdiscovery. We’ve got a lot in store. A thread 🧵(1/5)
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Hadrien Mary retweeted
Make chemoinformatics coding more easily ! #RDKit #datamol wordpress.com/post/iwatobipe…
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Hadrien Mary retweeted
We are thrilled to be adding decades of drug discovery expertise to the Valence leadership team as we embark on these exciting next steps in our journey. Please find more information here: businesswire.com/news/home/2…
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Hadrien Mary retweeted
Wondering where Graph ML for drug discovery is heading in 2022? Check out predictions from leading experts, summarized by the inimitable @PetarV_93 & @mmbronstein, featuring commentary from Valence researcher @dom_beaini, collaborator @HannesStaerk, and investor @nathanbenaich
Geometric & Graph ML were a 2021 highlight, with exciting fundamental research & high-profile applications. @mmbronstein and I interviewed distinguished experts to review this progress & predict 2022 trends. It's our longest post yet! See 🧵 for summary. michael-bronstein.medium.com…
Thanks Matt. Those kind of feedbacks are always appreciated!
Really like the Pythonic API provided by datamol.io - very thoughtful design by @HadiM_ with good documentation too! #RDKitUGM2021
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Hadrien Mary retweeted
Join @HadiM_ Friday at 12pm ET for the 2021 @RDKit_org Virtual UGM, where he’ll be introducing @datamol_io 👀
Learn more about @datamol_io tomorrow at 12pm ET at the @RDKit_org Virtual UGM eventbrite.com/e/virtual-10t…
Hadrien Mary retweeted
Learn more about @datamol_io tomorrow at 12pm ET at the @RDKit_org Virtual UGM eventbrite.com/e/virtual-10t…
Hadrien Mary retweeted
Join us Tues Oct 5th for a panel discussion titled “Is the AI Revolution Empowering the Scientist” with colleagues from @CRiverLabs, @JanssenUS, @imperialcollege, and @endpts Registration: webinars.endpts.com/is-the-a…
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Happy to announce that our SAN paper was accepted at the @NeurIPSConf conference of machine learning!! In this paper, we generalize Transformers to all spaces, including graphs. arxiv.org/pdf/2106.03893.pdf @KreuzerDevin @vincentmillions @TOSSOUPrudencio Will H. @valence_ai
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Do you know that only ~6% of the SARS-CoV-2 genomes submitted to GISAID (up to July 20th) came from low- and middle-income countries? 🌎🧬 

In this study we discuss the causes, consequences and possible solutions for disparities in SARS-CoV-2 genomic surveillance. 🧵👇
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