Surag Nair
Machine learning and genetics @Genentech. Previously CS PhD @Stanford.
suragnair.github.io
@ericlubeck.bsky.social
biology 🧬, microscopes 🔬, and computers 🖥️. Preferably all at once.
@karbalayghareh.bsky.social
Deciphering causal gene regulation mechanisms of cells using AI/ML. Postdoc at @MSKCancerCenter, Dr. Christina Leslie Lab. On the academic job market 2024-2025.
@mlweilert.bsky.social
bioinformatics, cats, deep learning, genomics, Zeitlinger Lab ((all views are mine alone))
@minetoota.bsky.social
MD/PhD. Rheumatologist. Postdoc at Stanford and Gladstone. Interested in complex trait genetics and immunology.
@bernardo-almeida.bsky.social
Senior research scientist at InstaDeep, interested in building computational models that can read the human genome and interpret it's variation
@btnaughton.bsky.social
genetics/data/programming. ex-Hexagon, ex-Stanford ex-23andMe ex-TCD http://blog.booleanbiotech.com 🇮🇪
@avgupta.bsky.social
Founder/CEO @ AINovo Biotech. Prev: AI + Genomics @ Stanford Computer Science, computational drug discovery @ ETH, Harvard. AI Optimist for Human Health.
@michaeltmont.bsky.social
Stanford PhD candidate in the Engreitz Lab. Passionate about engineering gene regulation and high-throughput tech dev.
@lxsasse.bsky.social
Learning from algorithms that learn from data about gene regulation.
@iscb-regsys.bsky.social
The ISCB Regulatory and Systems Genomics Community of Special Interest (RegSys COSI) focuses on computational methods for studying gene/systems regulation http://cosi.iscb.org/wiki/RegSIG:Home
@jeffdean.bsky.social
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
@avantikalal.bsky.social
Principal AI scientist at Genentech. Previously NVIDIA, insitro, Stanford. AI + Genomics.
@andrewleduc.bsky.social
Post-doc Slavov Lab https://andrew-leduc.github.io/ Studying how variation in protein half-life leads to variation in protein levels
@saurabhbelsare.bsky.social
Senior Scientist, Bioinformatics at PacBio. Keen reader of most genres of books. Science enthusiast. Amateur student of Indian Classical Music.
@plasmidsaurus.bsky.social
Sequence plasmids, amplicons, colonies, AAV, yeast, and bacterial genomes! Our advanced sequencing delivers comprehensive visibility, higher accuracy, and the ability to detect structural variations and rare mutations that other sequencing methods miss.
@bethgelab.bsky.social
Machine Learning and Neuroscience Lab @ Uni Tuebingen, PI: Matthias Bethge, bethgelab.org
@ahonkela.bsky.social
Prof of machine learning at University of Helsinki. Interested in (differential) privacy and open source software.
@kldivergence.bsky.social
Research Scientist at GDM. Statistician. Mostly work on Responsible AI. Academia-industry flip-flopper.
@jennwv.bsky.social
Sr. Principal Researcher at Microsoft Research, NYC // Machine Learning, Responsible AI, Transparency, Intelligibility, Human-AI Interaction // WiML Co-founder // Former NeurIPS & current FAccT Program Co-chair // Brooklyn, NY // More at http://jennwv.com
@philipphennig.bsky.social
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
@marvinschmitt.bsky.social
🇪🇺 AI/ML, Member @ellis.eu 🤖 Generative NNs, ProbML, Uncertainty Quantification, Amortized Inference, Simulation Intelligence 🎓 PhD+MSc CS, MSc Psych 🏡 marvinschmitt.github.io ✨ On the job market, DMs open 📩
@smaglia.bsky.social
Assistant prof in the Amsterdam Machine Learning Lab at the University of Amsterdam | ELLIS scholar | #causality #causalML anything #causal | 🇮🇹🇸🇮 in 🇳🇱 | #UAI2025 program chair https://saramagliacane.github.io/
@lacerbi.bsky.social
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
@deisenroth.bsky.social
Machine learning, environmental modeling, sustainability, robotics Professor @UCL He/him
@mvdw.bsky.social
Associate Professor in Machine Learning at the University of Oxford. Interested in automatic inductive bias selection using Bayesian tools.
@davidduvenaud.bsky.social
Machine learning prof at U Toronto. Working on evals and AGI governance.
@inference.vc
Secular Bayesian. Professor of Machine Learning at Cambridge Computer Lab Talent aficionado at http://airetreat.org Alum of Twitter, Magic Pony and Balderton Capital
@khanlab.bio
computational biologist at Stanford and interested in #generegulation, #cancer #genomics #epigenomics #openscience - https://khanlab.bio/
@nevillesanjana.bsky.social
Scientist at the New York Genome Center & NYU. http://sanjanalab.org
@sina.bio
HHMI Hanna Gray Fellow at @UCBerkeley w/ @airstreets. PhD @caltech, Math & ME BS @mit. I enjoy drinking tea, riding bikes, taking photos, and exploring nature.
@yusufroohani.bsky.social
Machine Learning & Systems Biology. ML Group Leader @arcinstitute. PhD @StanfordAILab http://www.yusufroohani.com
@njw.fish
Using computers to read the entrails of modernity (statistics, optimization, machine learning), focused on applications in the social and biological sciences. Currently: Stats PhD @Harvard Previously: CS/Soc @Stanford, Stat/ML @Oxford https://njw.fish
@bigpharmasharma.com
12+ year BioPharma strategy pro. Delivering weekly insights, analyses, and takes about BioPharma from an insider’s perspective on my substack. bigpharmasharma.com https://t.co/m4a7eb9gdp
@jeromeebb.bsky.social
🧬 Human Genetics scientist | computational biologist | foodie | coffee snob ☕️ |🖖🏽🔬👨🏾💻🏳️🌈| all opinions here are my own 🐒
@match-ey.bsky.social
🏳️🌈🇵🇱🇪🇦 Scjentist @Sanofi 🟣 Previously, Acellera, UPF, UB and UW
@randersson.bsky.social
Associate Professor at University of Copenhagen. Computational genomicist interested in gene regulation. @robin_andersson on X https://anderssonlab.org
@613weilin.bsky.social
Postdoctoral Researcher in Robin Andersson lab at University of Copenhagen
@acscricket.bsky.social
We enjoy, interpret & publish research into cricket statistics & history of worldwide. Join the ACS http://acscricket.com/?page_id=294 from just £23. #cricketcounts Website http://acscricket.com Also at https://mstdn.social/@acscricket
@icelandcricket.bsky.social
The official Bluesky thinking page of the Icelandic Cricket Association. Birthplace of cricket (911 CE). Merchandise: https://s66sportswear.co.uk/icelandcricket Website: krikket.is
@bleilab.bsky.social
Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems. 🔗 https://www.cs.columbia.edu/~blei/ 🔗 https://github.com/blei-lab
@ayushbharti.bsky.social
Academy Research Fellow at the Dept. of Computer Science, Aalto University, Finland. Affiliated with the Finnish Center for Artificial Intelligence. Website: http://bharti-ayush.github.io
@nelsontang.com
Data Scientist (Forecasting) @NVIDIA. Interested in Bayesian stats, causal inference, and decisions. Also dad, OEF vet, and ski/mountain enjoyer. I blog (throw bricks into the wind) @ www.nelsontang.com
@swetakar.bsky.social
Machine learning PhD student @ Blei Lab in Columbia University Working in mechanistic interpretability, nlp, causal inference, and probabilistic modeling! Previously at Meta for ~3 years on the Bayesian Modeling & Generative AI teams. 🔗 www.sweta.dev