We’re excited to welcome Smita Krishnaswamy to MoML 2025 on June 18th - hosted Mila - Quebec Artificial Intelligence Institute.

Dr. Krishnaswamy is an Associate Professor of Computer Science and Genetics at Yale University, who’s lab focuses on developing machine learning methods for analyzing high-dimensional biomedical data, with an emphasis on unsupervised learning, manifold learning, and deep learning.

Don’t miss Dr. Krishnaswamy’s talk at MoML 2025 - register now: https://lnkd.in/e6YTnet4

The Molecular Machine Learning Conference (MoML) is back at Mila - Quebec Artificial Intelligence Institute this year and will be happening on June 18th!

MoML brings together researchers working at the intersection of machine learning, molecular modeling, and therapeutic design. Topics this year will include structure prediction, molecular simulations, generative models for chemistry, and more.

Last year’s event welcomed 180+ attendees from around the world, with 50+ posters and 5 speakers from across academia and industry. This year, our line up of speakers include Smita Krishnaswamy, Kirill Neklyudov, Gabriele Corso, and Emmanuel Noutahi, PhD. More speakers will be announced soon.

As always, tickets are free for students.

Register Today: https://lnkd.in/e6YTnet4

Watch a Recap of MoML 2024: https://lnkd.in/eFKhHq6U

Valence Labs, powered by Recursion, will be at ICLR this week.

We’ll be hosting a TechBio social on Friday, April 25 to bring fellow researchers, students, and professors together for an evening of engaging conversations about how we can advance the frontier of AI-powered drug discovery. Please RSVP here: https://lu.ma/nts2d8uj

See below for a summary of our papers at ICLR this week 👇

“Action abstractions for amortized sampling”
Where: Hall 3 + Hall 2B #429
When: Apr 24th from 3 - 5:30 PM
https://lnkd.in/e3T7cND7
Emmanuel Bengio

“Towards Improving Exploration through Sibling Augmented GFlowNets”
Where: Hall 3 + Hall 2B #578
When: Apr 25th from 10 - 12:30 PM
https://lnkd.in/eneYyTHd
Emmanuel Bengio

“Adaptive teachers for amortized samplers”
Where: Hall 3 + Hall 2B #573
When: Apr 25th from 10 - 12:30 PM
https://lnkd.in/enw2T23Z
Emmanuel Bengio

“SynFlowNet: Design of Diverse and Novel Molecules with Synthesis Constraints”
Where: Hall 3 + Hall 2B #15
When: Apr 25th from 10 - 12:30 PM
https://lnkd.in/eWHvmnBe
Emmanuel Bengio, Julien Roy

“Efficient Biological Data Acquisition through Inference Set Design”
Where: Hall 3 + Hall 2B #9
When: Apr 25th from 10 - 12:30 PM
https://lnkd.in/ejwz-imD
Julien Roy, Emmanuel Bengio, Jason Hartford

“Weakly Supervised Latent Variable Inference of Proximity Bias in CRISPR Gene Knockouts from Single-Cell Images”
Where: LMRL workshop, Hall 4
When: April 28
https://www.lmrl.org/
Kristina Ulicna, PhD, Jason Hartford

We’re thrilled to announce the formation of the new Multiomics Steering Committee on Polaris!

By “multiomics” we refer to the integration of high-dimensional data modalities at the cellular level, encompassing molecular (e.g., DNA, RNA, and protein) as well as phenotypic (e.g., imaging-based and multi-cell-line viability) readouts. Multiomics data holds the potential to unravel biological complexity by providing complementary insights into cellular states of disease and their modulation through novel therapeutics.

Our goal is to propose clear definitions, identify critical benchmarking tasks, and encourage the community to align on best practices—ultimately ensuring that progress in multiomics translates to real-world impact in drug discovery.

Led by experts from academia and industry, the committee includes: Oren Kraus (Recursion), Judith Mueller (Merck), Alisandra Denton (Valence Labs), Fabian Theis (Helmholtz Munich), Paula Andrea Marin Zapata (Bayer), Anne Carpenter (Broad Institute of MIT and Harvard), Ian Barrett (AstraZeneca), Rob Moccia (formerly Pfizer), Cuong Nguyen (formerly GSK), Nathaniel Robichaud, PhD (Nomic Bio), William J. Godinez (Novartis), Tommaso Biancalani (Genentech), and Kristina Ulicna, PhD (Valence Labs).

Stay tuned for upcoming announcements as we collaborate to define community-driven guidelines, highlight robust datasets, and develop benchmarking strategies aimed at bridging the gap between perceived progress and real-world breakthroughs in early-stage drug discovery.

Stay updated by subscribing to our mailing list: https://lnkd.in/eWCviVqz

Valence scientist Michael Craig will serve as the Senior Chair for the Drug Discovery and Development roundtable at the ML4H conference, taking place at 12:30 PM today.

This session will focus on the role of Large Language Models and Foundation Models in accelerating drug discovery. It will address key challenges in leveraging these models to optimize the drug development pipeline.

For more information on the roundtables, visit: https://lnkd.in/g3B9PB_Y