@kenjennings.bsky.social
Your Jeopardy! pal. Author of 100 PLACES TO SEE AFTER YOU DIE (bit.ly/3kLgJKO) and a bunch of other stuff. OMNIBUS co-founder (patreon.com/omnibusproject).
@jlmcfalinefigueroa.bsky.social
Assistant Professor, BME, Columbia University
@florianingelfinger.bsky.social
Immunologist at the Ido Amit, Nir Yosef and Robert Zeiser labs. Formerly PhD Student in Burkhard Bechers lab. Interested in innovative single cell technologies and computational biology.
@mingxz.bsky.social
PhD candidate@Columbia University. Geometric deep learning | Probabilistic ML | Cancer systems biology Research at Azizi lab & Califano lab.
@jlfan.bsky.social
PhD candidate in BME @Columbia | computational #cancer research at http://azizilab.com
@lingting-shi.bsky.social
T32 GEIC Postdoctoral research scientist co-mentored by @elhamazizi and @joselmcfaline @Cancer_dynamics, Ph.D. @columbiaBME, NSF Graduate Research Fellow (2019-2022)
@jianma.bsky.social
Ray and Stephanie Lane Professor of Computational Biology at CMU School of Computer Science. https://www.cs.cmu.edu/~jianma/
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@keyonv.bsky.social
Postdoctoral fellow at Harvard Data Science Initiative | Former computer science PhD at Columbia University | ML + NLP + social sciences https://keyonvafa.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
@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
@velezbeltran.bsky.social
Machine Learning PhD Student @ Blei Lab & Columbia University. Working on probabilistic ML | uncertainty quantification | LLM interpretability. Excited about everything ML, AI and engineering!
@seichang.bsky.social
Computer Science PhD candidate at Columbia University. Interested in applying deep learning to functional genomics. NSF GRFP Fellow
@sherlockpholmes.bsky.social
Statistician,Mother,Prof,Grandmother(she/her)🇫🇷🇵🇹🇺🇸🧪. 🖋️with @wkhuber.bsky.social:Modern Statistics for Modern Biology (https://www.huber.embl.de/msmb/) #stats,#rstats.OSS,arXiv, microbial ecology,cytof,multi-omics,Bioconductor:phyloseq, DADA2
@zhou-jian.bsky.social
Computational Biology, Genomics, Machine Learning, AI. Assistant Professor at UTSW
@quaidmorris.bsky.social
Computational biology, machine learning, AI, RNA, cancer genomics. My views are my own. https://www.morrislab.ai He/him/his
@suinlee.bsky.social
Paul G. Allen Endowed Professor in the Allen School of Computer Science & Engineering at the University of Washington. Interested in AI/ML, computational biology, and AI in medicine. https://suinlee.cs.washington.edu/
@gautamkamath.com
Assistant Prof of CS at the University of Waterloo, Faculty and Canada CIFAR AI Chair at the Vector Institute. Joining NYU Courant in September 2025. Co-EiC of TMLR. My group is The Salon. Privacy, robustness, machine learning. http://www.gautamkamath.com
@rosanneliu.com
Founder & executive & community builder & organizer & researcher ML Collective (mlcollective.org) Google DeepMind rosanneliu.com
@soumithchintala.bsky.social
Cofounded and lead PyTorch at Meta. Also dabble in robotics at NYU. AI is delicious when it is accessible and open-source. http://soumith.ch
@colah.bsky.social
Reverse engineering neural networks at Anthropic. Previously Distill, OpenAI, Google Brain.Personal account.
@mmbronstein.bsky.social
DeepMind Professor of AI @Oxford Scientific Director @Aithyra Chief Scientist @VantAI ML Lead @ProjectCETI geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
@lelandmcinnes.bsky.social
A Mathematician dabbling in Data Science, especially unsupervised learning and data exploration. UMAP, HDBSCAN, PyNNDescent, DataMapPlot. (He/Him)
@hnisonoff.bsky.social
PhD student at UC Berkeley Machine Learning for Protein Engineering
@bunnech.bsky.social
Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute. www.aimm.epfl.ch
@gemoran.bsky.social
Assistant Prof of Statistics at Rutgers Previously: postdoc in the Blei Lab at Columbia. PhD in Statistics from University of Pennsylvania. https://www.gemma-moran.com Aussie 🦘| NYC-based 🗽
@suragnair.bsky.social
Machine learning and genetics @Genentech. Previously CS PhD @Stanford. suragnair.github.io
@siyuhe.bsky.social
Postdoc@stanford | PhD@columbia | AI4Biomedicine | Spatial biology | computational cancer biology | machine learning
@prescientdesign.bsky.social
A Genentech Accelerator gene.com/prescient https://scholar.google.com/citations?user=HVfvEVoAAAAJ
@slowkow.com
Computational biologist 🧬🖥️ at Mass General Brigham and Broad Institute, PhD at Harvard. Bioinformatics, transcriptomics, COVID, genomics, immunology, genetics, statistics, and web development. I made #ggrepel and I blog at https://slowkow.com
@jkobject.com
Doing a Ph.D. AI in Bio. | Ex @WhiteLabGx @BroadInstitute @MIT | Built @PiPleteam | ML, Cancer, Genomics, Data Sci, Entrepreneur, FullStack Dev | All views are mine
@arjunraj.bsky.social
Just another LLM. Tweets do not necessarily reflect the views of people in my lab or even my own views last week. http://rajlab.seas.upenn.edu https://rajlaboratory.blogspot.com
@yun-s-song.bsky.social
Professor of EECS and Statistics at UC Berkeley. Mathematical and computational biologist.
@alextong.bsky.social
ML + Cells + Proteins. Postdoc @ Mila w/ Yoshua Bengio. Visiting Postdoc @ Oxford w/ Michael Bronstein. Incoming Asst. Prof. @ Duke.
@avsecz.bsky.social
Research scientist at @GoogleDeepMind passionate about AI, genomics and biology.
@grst.bsky.social
Single Cell/Spatial. Cancer Immunology. Outdoor activities. Core developer @scverse.bsky.social. Working in Clinical Bioinformatics at Boehringer Ingelheim. Formerly PhD student at Medical University of Innsbruck. My private account. github.com/grst
@fabiantheis.bsky.social
Computational biologist @HelmholtzMunich, prof @TU_Muenchen & associate PI @sangerinstitute. Dad of 4 and mountain lover. Department news, see @CompHealthMuc
@mkoutrouli.bsky.social
Computing all things single-cell | Postdoc at Genentech @MarioniLab | Steering council at scverse.org
@emmamarydann.bsky.social
Postdoc fellow @ Stanford & Gladstone Institutes Core team @scverse-team.bsky.social Bringing the single-cell genomics in human complex trait genetics https://emdann.github.io/