Romain Lopez
@_romain_lopez_
Incoming Assistant Professor @ NYU Courant Institute & Biology
A simple approach for learning representations across multiple environments! Read @taromakino's work from his internship at Genentech!
When we apply machine learning to data from multiple environments (e.g. hospitals), we often learn spurious features due to the variation across environments. Our new work offers a simple solution using Supervised Contrastive Learning. arxiv.org/abs/2502.07281 1/7
A recording of my PhD defense is now available! youtube.com/watch?v=Wza3sf… My thesis will be available online soon :)
Congratulations to @JayoungR on winning the Best Paper Award at the ICML workshop on @AI_for_Science for her internship work with us at Genentech! We will also be presenting this work next month as part of an oral presentation at MLCB in Vancouver!
How can we integrate two single-cell perturbation screens like Perturb-seq and optical pooled screens? Thrilled to introduce Perturb-OT for cross-modality matching and prediction of perturbation responses! Work with amazing @_romain_lopez_ @_bunnech & Aviv (1/)
🚀 My close friend and former Berkeley roommate @geoffnegiar has co-founded @forecastingco with support from @ycombinator! Geoff is not only brilliant, but also kind, honest and business-savvy. Collaborators, investors, and customers will be lucky to have you! Congratulations!
Rare announcement: after finishing my PhD @berkeley_ai in 2023, and working on forecasting problems @amazon and @technology, I am launching @forecastingco with my dear friend @jodles89! We are building foundation models for time series. Get in touch! theforecastingcompany.com
How can we integrate two single-cell perturbation screens like Perturb-seq and optical pooled screens? Thrilled to introduce Perturb-OT for cross-modality matching and prediction of perturbation responses! Work with amazing @_romain_lopez_ @_bunnech & Aviv (1/)
Excited to present perturb-seq-in-the-loop in #RECOMB2024 next Tuesday at 2pm!! Looking forward to being back in Boston!
1/🧵Introducing Perturb-seq-in-the-loop: a sequential experimental design strategy for perturbation screens guided by multimodal priors, with 3X speedup over state-of-the-art active learning methods! With amazing @_romain_lopez_ @jchuetter Taka Kudo @antonio_science Aviv Regev
After 3 months of hard work, excited to unveil the Chung lab’s computational space @YaleCVRC @YaleMed! Gratifying to see our vision come to life. We are recruiting both computational and wet lab postdocs - join us!
Finally got to celebrate with the #Starfysh masterminds (and mini-golf champions😄) @SiyuHe7 @YinuoJin6 @AchilleNazaret and all our supportive lab members ⭐️ (Yes, the paper tastes as good! 😄)
1/ #Starfysh ⭐️🐟 for spatial transcriptomic+histology analysis and multi-sample integration is out today in @NatureBiotech🎉 Thanks to reviewer feedback we improved model interpretability (learning anchors and joint representation of multiple samples) tinyurl.com/5b7m5mv5