Faculty at the University of Pennsylvania. Lifelong machine learning for robotics and precision medicine: continual learning, transfer & multi-task learning, deep RL, multimodal ML, and human-AI collaboration. seas.upenn.edu/~eeaton
@continualai.bsky.social
The largest research nonprofit promoting continual learning research www.continualai.org
@abfriedman.com
This is my personal account. Faculty at UPenn. Emergency doc, health economist, geriatrics and privacy researcher. Views are my own. RT does not imply endorsement.
@dougofnashville.bsky.social
@mohitbansal.bsky.social
Parker Distinguished Professor, @UNC. Program Chair #EMNLP2024. Director http://MURGeLab.cs.unc.edu (@uncnlp). @Berkeley_AI @TTIC_Connect @IITKanpur #NLP #CV #AI #ML https://www.cs.unc.edu/~mbansal/
@mtiezzi.bsky.social
PostDoc Researcher @ IIT, Continual and Lifelong Learning -> Robots, Graph Neural Networks, Sequence Processing | CoLLAs 2024 Local Chair 🏠 mtiezzi.github.io
@kdpsingh.bsky.social
Faculty at UC San Diego. Chief Health AI Officer at UC San Diego Health. Creator of Tidier.jl #JuliaLang. #GoBlue. Views own.
@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
@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.
@stephenpfohl.bsky.social
Research scientist at Google. Previously Stanford Biomedical Informatics. Researching #fairness #equity #robustness #transparency #causality #healthcare
@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
@schancellor.bsky.social
Assistant prof at UMN CS. Human-centered AI, online communities, risky mental health behaviors. Mom, lifter, nerd, haver of opinions.
@etchin.bsky.social
Assistant Professor of Biostatistics at Johns Hopkins • health equity • data science • studying mass incarceration and algorithm bias
@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.
@maartenvsmeden.bsky.social
statistician • associate prof • team lead health data science and head methods research program at julius center • director ai methods lab, umc utrecht, netherlands • views and opinions my own
@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
@lizstuart.bsky.social
Statistician; Professor and Chair @JHUBiostat @JohnsHopkinsSPH, w/links to @SREESociety, @AmericanHealth. Oh, & spouse, mom, runner, traveler.
@andrewlbeam.bsky.social
Chief Technology Officer FL97, Inc. - Professor @ Harvard Founding Editor NEJM AI, Co-host AI Grand Rounds 🎙️, Co-founder Generate Biomedicines, Inc
@avifeller.bsky.social
@joejanizek.bsky.social
physician-scientist, interested in AI safety/interpretability in biology/medicine. jjanizek.github.io
@drjessilyn.bsky.social
Assistant Professor at Duke in Biomedical Engineering (@dukeubme.bsky.social) and Biostatistics & Bioinformatics. Research focus on digital biomarker development
@samfin.bsky.social
Pediatrician and Clinical Geneticist at UW/Seattle Children’s. (PGY3) PhD in Machine Learning for Healthcare Past: Harvard Med, MIT, Stanford
@urish.bsky.social
Machine learning researcher, working on causal inference and healthcare applications
@maaloufmd.bsky.social
Internist, Writer, Mother | Associate Prof of Medicine | Advocate for patients and health equity #MedicareForAll is the way doctoredtales.com
@gscollins.bsky.social
Statistician • Professor • University of Oxford • NIHR Senior Investigator • 🚴♂️ TRIPOD+AI: tinyurl.com/2dsb9e75 EQUATOR Network: tinyurl.com/5dw4rcy5 Google scholar: tinyurl.com/ysv3zwek #prediction #machinelearning #AI #openscience #metascience
@alvarezsalmoral.bsky.social
PhD Candidate at @NKI_nl in Structural Bioinformatics - Cancer Research | Perrakis lab | Interest in AI | Computational Biology, Statistics, Protein Prediction & Design 🖥️🧬 AlphaBridge web server: https://alpha-bridge.eu/
@alexandertitus.com
AI + Bio + Policy. VP of AI @ Avidity Bio and Commissioner @ NSCEB. Founder @ In Vivo Group. Former head of biotech strategy @ DoD. Views are only mine. Join me @ connectedideasproject.com for thoughts on tech, policy, and life.
@amandambuch.bsky.social
Neuroscientist, AI/ML Engineer & Classical Visual Artist | Comp. Psychiatry & Neurodev. 🧠✨🎨 SFARI Fellows-to-Faculty | Burroughs Wellcome Fund | Leading Edge Fellow | NASEM/Ford Fellow Weill Cornell Medicine & Columbia University www.amandabuch.com
@erictopol.bsky.social
physician-scientist, author, editor https://www.scripps.edu/faculty/topol/ Ground Truths https://erictopol.substack.com SUPER AGERS https://www.simonandschuster.com/books/Super-Agers/Eric-Topol/9781668067666
@5harad.com
Professor of Public Policy at Harvard, co-director of @comppolicylab.bsky.social, applying a computational approach to public policy, including to issues in education, healthcare, and criminal justice. https://5harad.com
@danielmalinsky.bsky.social
Assistant Professor of Biostatistics at Columbia. I study causal inference, graphical models, machine learning, algorithmic (un)fairness, social + environmental determinants of health, etc. Opinions my own. http://www.dmalinsky.com
@xiwang-sch.bsky.social
Researcher in NLP/IR at the University of Sheffield, Research interests include Conversational AI, RAG and other topics among NLP/IR.
@andganna.bsky.social
Associate Prof in health data science @HiLIFE_helsinki @FIMM_UH - MGH/Harvard - Playing with all kind of data - http://dsgelab.org
@omidvebrahimi.bsky.social
Research Fellow | University of Oxford | Magdalen College. Clinical Psychologist | Public Health | Statistics. I study how people transition into and recover from mental disorders.
@juliaraifman.bsky.social
Evidence-based posts about public health & equity. All views are my own.
@jessrmorley.bsky.social
100% health data nerd & OG swiftie. PhD Oxford Internet Institute. Previously Director of Policy Oxford Bennett Institute for Applied Data Science. Currently postdoctoral research associate Yale Digital Ethics Center.
@hamsabastani.bsky.social
Prof @Wharton @Penn; machine learning for health & social good; foodie, gamer, homebody
@shan23chen.bsky.social
PhDing @AIM_Harvard @MassGenBrigham｜PhD Fellow @Google | Previously @Bos_CHIP @BrandeisU More robustness and explainabilities 🧐 for Health AI. shanchen.dev
@rohangorantla.bsky.social
Developing ML methods for Drug Discovery @ Novartis 🧬💻 | prev: PhD student @ University of Edinburgh with Toni Mey
@lukfor.bsky.social
Assistant Professor of Genome Informatics. MedUni Innsbruck. Cloud Computing, Machine Learning, AI, Genotype Imputation. Open Source and Open Science. Co-Creator of Michigan Imputation Server and www.askimed.com. Creator of www.nf-test.com.