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I'm sharing my CGSI-The Computational Genomics Summer Institute talk slides last week surveying recent #LLM methods in genomics (DNA, scRNA). As exciting as LLM's potential in genomics is, a note of skepticism remains. Hope we maintain vigilance in what we publish. Feedback on slides welcome. cs.cmu.edu/~jianma/talks/…

🧵 on surprising revelations from our study of specialized foundation models (FMs beyond vision/text): after evaluating dozens of scientific & time series FMs we found that most weren’t even competitive with simple supervised models, some with as little as 513 parameters. 1/n

Can we skip genomic Foundation Model pretraining? Our work L2G repurposes language LLMs for genomics via cross-modal transfer, matching fine-tuned genomic FMs. Kudos to Wenduo Cheng & amazing collab w/ Ameet Talwalkar. L2G, language to genome; L2G, life’s too good biorxiv.org/content/10.110…

Proper and meaningful benchmark datasets are crucial for advancing genomic LLMs/FMs, and ML methods for genomics in general. Fantastic collab w/ Lei Li's group. Amazing work led by Wenduo Cheng Zhenqiao Song Yang Zhang

I have some news to share! Datadog, Inc. is forming a new AI research lab, and I'm excited to announce that I've joined as Chief Scientist to lead this effort. Datadog has a great work culture, lots of data and compute, and is committed to open science and open sourcing. Our team

Excited to present our work at #ICLR2025! Join us on Thursday, April 23 (Afternoon Session) to chat about the current state of foundation models in specialised domains 🧬📈 Hall3+2B #40 Joint work with Zongzhe Xu Wenduo Cheng Alex Shen Junhong Shen Ameet Talwalkar Misha Khodak

Happy to see a time series workshop @ NeurIPS 2025 motivated in part by our search for BERT moments in specialized foundation models (🧵here: x.com/khodakmoments/…)