Machine learning, statistical genomics, ML4 health, senior investigator
at Gladstone Institutes, professor at Stanford, single mom to four kids. she/her
My TEDx talk on the importance of building interpretable, open box machine learning models and using domain-informed detective work to accelerate discovery in genomics, biology, and medicine: https://t.co/3hhGRMqPUs
Excited to present our work on multi-objective scientific discovery at #NeurIPS2025! 🎉
We present Preference-Guided Diffusion, a novel method to sample diverse designs from a diffusion model that corresponds to the Pareto Front of black-box objectives.
Most (if not all) problems in scientific discovery, from drug design to material design, are multi-objective. Balancing factors like toxicity and activity or stability and synthesizability requires finding the optimal Pareto Front of trade-offs. Preference-Guided diffusion uses preference pairs from just an offline dataset to sample optimal designs from a diffusion model.
W/ amazing co-authors @syrineblk, @StefanoErmon, @stefanAbauer, and @BeEngelhardt.
Find out more:
🗓️ Poster #915 | Wednesday | 4:30 PM PST
Pdf: https://t.co/EY1YBoc9hg
Project: https://t.co/qQg3BaJ5xg
Our neighborhood nonnegative matrix factorization preprint just dropped! Try it out for matrix decomposition and hard clustering for your spatial transcriptomic data! Blue-hued tweetorial: https://t.co/FjSOHW2zk1
We have a track of lightning talks for submitted abstracts -- please encourage students and postdocs to submit their best work! Topics are broadly related to experimental design & AI for science, and are outlined in Call For Abstracts (deadline Mar. 15): https://t.co/chwRKSuPvc
We’re thrilled to announce the workshop “Experimental Design: AI for Science” happening at Stanford University on 3rd and 4th April 2025. The workshop focuses on theory and methodology of AI-based experimental design and its application to science. https://t.co/cjdM1NdngL
My NIH Study Section (MABS) was cancelled a little more than 24 hours before the start. With 35 members, & 45 h of reviews/member, that wasted 1575 hours of scientists' unpaid time. @NIH, protect scientists right now & cancel all study sections until you get clarity. @NIHDirector
Exciting update!! @bioimagearchive.bsky.social is now hosting the first publicly available Incucyte data! If you have live-cell imaging data, please consider uploading to Bioimage Archive!! Thanks to Julia Carnevale and Alex Marson for experimental data —
https://t.co/A8i5P3i9VT
Please play with these data! There is a lot more signal there. Thank you to @bioimagearchive.bsky.social
for hosting these Incucyte image data -- this is a new thing for them, and they have been so kind in working through the details of submission (link coming soon!)! 🎉
Check out our newest preprint on #bioxiv. We developed Patches, a tool for extracting joint and condition specific signatures from scRNA-seq data in complex experimental designs like wound healing:
https://t.co/mVNlDbfevY
GitHub: https://t.co/yg3fQFGZV9
Feedback welcome! And join us over in the Good Place: @thebeehive.bsky.social
Try out Caliban and Occident on your own Incucyte data! More phenotypes and analyses added regularly.
https://t.co/p9Rx8oYrAT
https://t.co/7uP0vrxXqh
Our preprint on cellular behavior analysis in TCR T cells & cancer cell live-cell imaging data is out! This 3-year collaboration led by pd Archit Verma w/ Alex Marson & Julia Carnevale, with segmentation & tracking by @davidvv & team!
https://t.co/TYMrUPBBl5
Please play with these data! There is a lot more signal there. Thank you to @bioimagearchive.bsky.social
for hosting these Incucyte image data -- this is a new thing for them, and they have been so kind in working through the details of submission (link coming soon!)! 🎉