Irene Chen
ML for healthcare and health equity. Assistant Professor at UC Berkeley and UCSF.
https://irenechen.net/
@dmshanmugam.bsky.social
thinking about human behavior in health data postdoc @ Cornell Tech, phd @ MIT dmshanmugam.github.io
@egnij.bsky.social
Transplant Hepatologist at UCSF, via Penn Med, Wharton, BCG, Princeton. Interested in Informatics, Big Data, GenAI in Liver Diseases.
@ahli-cc.bsky.social
Dedicated to building a transdisciplinary community in machine learning for health. www.ahli.cc Conference on Health, Inference, and Learning (chil.ahli.cc) Machine Learning for Health Symposium (ahli.cc/ml4h)
@csail.mit.edu
MIT's Computer Science & Artificial Intelligence Laboratory (CSAIL). Media Inquiries: rachelg@csail.mit.edu
@emmapierson.bsky.social
Assistant professor of CS at UC Berkeley, core faculty in Computational Precision Health. Developing ML methods to study health and inequality. "On the whole, though, I take the side of amazement." https://people.eecs.berkeley.edu/~emmapierson/
@ucjointcph.bsky.social
CPH is pioneering a new discipline joining the power of AI, clinical/public health excellence, and equity. A joint program bridging UC Berkeley and UCSF.
@bowang87.bsky.social
Chief AI Officer @ UHN; Assistant Prof. @ U of Toronto; CIFAR AI Chair @ Vector Institute; AI & Biology
@atulbutte.bsky.social
Chief Data Scientist U of CA Health・Director, Bakar Computational Health Sci Institute・Distinguished Prof af UCSF・Entrepreneur・He/him・Opinions ⇨ my own
@yuzheyang.bsky.social
Assistant Professor @UCLA | Scientist @Google | PhD @MIT | BS @PKU #ML, #AI, #health, #medicine https://people.csail.mit.edu/yuzhe/
@jbhuang0604.bsky.social
Associate Professor at UMD CS. YouTube: https://youtube.com/@jbhuang0604 Interested in how computers can learn and see.
@urish.bsky.social
Machine learning researcher, working on causal inference and healthcare applications
@jessicaschrouff.bsky.social
Director of Responsible AI @GSK | Interested in Responsible AI, AI for healthcare, fairness and causality | Prev. Google DeepMind, Google Health, UCL, Stanford, ULiege | WiML board/volunteer. She/her.
@brwilder.bsky.social
Assistant Professor at Carnegie Mellon. Machine Learning and social impact. https://bryanwilder.github.io/
@healthailab.org
Health and AI Lab at Stevens Institute of Technology. Causal inference, precision nutrition, diabetes, decision making, and health informatics. http://www.healthailab.org
@epet.bsky.social
Medical AI / AI ethics. DE, previously DK. Father of twins, a dog, and a cat.
@etchin.bsky.social
Assistant Professor of Biostatistics at Johns Hopkins • health equity • data science • studying mass incarceration and algorithm bias
@hylandsl.bsky.social
machine learning for health at microsoft research, based in cambridge UK 🌻 she/her
@alexluedtke.bsky.social
associate professor of statistics @uw • causal inference, machine learning, nonparametrics alexluedtke.com
@tommylofstedt.bsky.social
Docent, associate professor. Machine learning & computer vision. Umeå University, Sweden.
@miguelhernan.org
https://miguelhernan.org/ Using health data to learn what works. Making #causalinference less casual. Director, @causalab.bsky.social Professor, @hsph.harvard.edu Methods Editor, Annals of Internal Medicine @annalsofim.bsky.social
@quaidmorris.bsky.social
Computational biology, machine learning, AI, RNA, cancer genomics. My views are my own. https://www.morrislab.ai He/him/his
@avifeller.bsky.social
@joejanizek.bsky.social
physician-scientist, interested in AI safety/interpretability in biology/medicine. jjanizek.github.io
@margoseltzer.bsky.social
@stat110.bsky.social
Statistician at Harvard. Probability and paradoxes. Statistics and data science. Books and chess.
@amalaa.bsky.social
Assistant Professor at UC Berkeley and UCSF. Machine Learning and AI for Healthcare. https://alaalab.berkeley.edu/
@larsvanderlaan3.bsky.social
Ph.D. Student @uwstat; Research fellowship @Netflix; visiting researcher @UCJointCPH; M.A. @UCBStatistics - machine learning; calibration; semiparametrics; causal inference. https://larsvanderlaan.github.io
@msjeanrhys.bsky.social
Daily quotes from the author of Wide Sargasso Sea, Good Morning, Midnight etc. "If I could choose, I would rather be happy than write." Dead since 1979.
@nilou.bsky.social
hci+ai, social computing co-founder/cpo @Across AI prof @UC Berkeley gif whisperer | 🐱🐱 mom 👩🏻🏫 niloufar.org 👩🏻💻 across.ai | https://bsky.app/profile/across-ai.bsky.social
@catherinebreslin.bsky.social
AI scientist & consultant :: prev Amazon Alexa, Toshiba, Cam Uni :: voice & language tech :: powered by coffee :: photographer :: Cambridge UK https://www.catherinebreslin.co.uk
@jfrankle.com
Chief AI Scientist at Databricks. Founding team at MosaicML. MIT/Princeton alum. Lottery ticket enthusiast. Working on data intelligence.
@monicaagrawal.bsky.social
Asst prof at Duke University. Co-founder at LayerHealth. ML and NLP for healthcare. Recruiting PhD students for Fall 2025! PhD MIT, BS/MS Stanford. She/her.
@alondra.bsky.social
Scholar, author, policy advisor alondranelson.com Science, Technology, and Social Values Lab https://www.ias.edu/stsv-lab
@emmharv.bsky.social
PhD student @ Cornell info sci | Sociotechnical fairness & algorithm auditing | Previously MSR FATE, Penn | https://emmaharv.github.io/
@rdhernand.bsky.social
From busboy/car washer to population geneticist at UCSF, co/Director of the BMI PhD program & UCSF PREP/PROPEL Programs!!!
@manfreddiaz.bsky.social
Ph.D. Candidate at Mila and the University of Montreal, interested in AI/ML connections with economics, game theory, and social choice theory. https://manfreddiaz.github.io
@moberst.bsky.social
Assistant Prof. of CS at Johns Hopkins Visiting Scientist at Abridge AI Causality & Machine Learning in Healthcare Prev: PhD at MIT, Postdoc at CMU
@moorejh.bsky.social
Chair, Department of Computational Biomedicine at Cedars-Sinai Medical Center in Los Angeles. Director, Center for Artificial Intelligence Research & Education. Atari enthusiast. Retrocomputing. Maker.
@chethan.bsky.social
I live at the intersection of medicine, design, & tech. I am a patient, pediatrician, landscape architect, and clinical informatician.📍NYC #medsky @cornelltech.bsky.social + @myopennotes.bsky.social + https://www.ourclimatehealth.org
@katefu24.bsky.social
Biomedical informatician, medical research and ethics, Harvard bioethics fellowship 2025, figure skater kind of
@katecooperoma.bsky.social
Biomedical informatics, consumer health informatics, science education🧬💻🧐🔥 she/her. opinions are my own, reskeets != endorsements.
@casey.greenelab.com
Chair of the Department of Biomedical Informatics at the University of Colorado School of Medicine. Research: transcriptomics, machine learning, public data - pick two of three. He/him. Views mine, not employer's.
@lrasmus.bsky.social
Health and biomedical informatics nerd and research software engineer. Interests in computational phenotyping using EHR data, data privacy, and security. Thoughts and comments are my own.
@mathcancer.bsky.social
Associate Dean for Undergraduate Education at Indiana University School of Informatics, Computing and Engineering • mathematical biologist • multicellular systems & cancer with PhysiCell • OpenSource • astrophotography Web: http://MathCancer.org
@erinbrodwin.bsky.social
Health tech reporter @Axios. Send tips on Signal: @erin.14 or via email at erinbecca@proton.me. She/they
@caseynewton.bsky.social
Email salesman at Platformer.news and podcast co-host at Hard Fork.
@alexr.bsky.social
personalized cancer immunotherapy = genomics + immunology + machine learning + oncology (pirl.unc.edu)
@vanamsterdam.bsky.social
machine learning, causal inference, healthcare - assistant professor in dep. of Data Science Methods, Julius Center, of University Medical Center Utrecht, the Netherlands; wvanamsterdam.com