Barbara Engelhardt

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Barbara Engelhardt

Barbara Engelhardt

@BeEngelhardt

Machine learning, statistical genomics, ML4 health, senior investigator at Gladstone Institutes, professor at Stanford, single mom to four kids. she/her

Bay Area Katılım Şubat 2013
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Barbara Engelhardt
Barbara Engelhardt@BeEngelhardt·
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: youtube.com/watch?v=uC3Sfn…
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Barbara Engelhardt
Barbara Engelhardt@BeEngelhardt·
Stop by our #NeurIPS2025 poster today! We would love to tell you about our work!! Thanks to @CIFAR_News for the funding that made this work happen.
Yashas Annadani@yashasannadani

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: openreview.net/pdf?id=moiVS9A… Project: github.com/yannadani/pgd_…

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Barbara Engelhardt
Barbara Engelhardt@BeEngelhardt·
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: bsky.app/profile/thebee…
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Barbara Engelhardt
Barbara Engelhardt@BeEngelhardt·
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): edai4science.github.io/submissions/
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Barbara Engelhardt
Barbara Engelhardt@BeEngelhardt·
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. edai4science.github.io
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Barbara Engelhardt
Barbara Engelhardt@BeEngelhardt·
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
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Barbara Engelhardt
Barbara Engelhardt@BeEngelhardt·
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 — ebi.ac.uk/biostudies/bio…
Barbara Engelhardt@BeEngelhardt

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!)! 🎉

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Barbara Engelhardt
Barbara Engelhardt@BeEngelhardt·
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!)! 🎉
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Barbara Engelhardt
Barbara Engelhardt@BeEngelhardt·
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! biorxiv.org/content/10.110…
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