Pieter Meysman
Professor in biomedical data science at the University of Antwerp.
Part-time CTO of ImmuneWatch.
Immunoinformatics with a focus on T-cell receptors.
@xkcd.com
@yvansaeys.bsky.social
Computer scientist with a bias towards machine learning and a high need for variance in application domains. Fond of woodworking and musical instruments. https://saeyslab.sites.vib.be/
@enkrnita.bsky.social
Professor of Immunology | Head of i3 lab | Sorbonne Université & INSERM | interested in systems translational immunology with a focus on adaptive immunity and a passion for TCR
@katlijndm.bsky.social
#FWO postdoc @ITMmalaria. Working on the beautiful #Pvivax and #Pknowlesi malaria parasites #invasion #omics #epigenetics
@biomina.bsky.social
Core Facility for bio- and medical informatics at University of Antwerp. www.biomina.be
@immunewatch.bsky.social
Find the epitope specificity of your T-cell receptors with machine learning. www.immunewatch.com Antwerp | Belgium
@immunosketch.bsky.social
30-sec immunology news, delivered daily. No scientific knowledge necessary, built for everyone. #ImmunoSky
@cziscience.bsky.social
@krislaukens.bsky.social
Bio-data Sciences, Bioinformatics, Digital Health & Precision Medicine Technologies. Professor laukenslab.org @UAntwerpen, Co-founder www.ImmuneWatch.com, Lead www.biomina.be
@berkustun.bsky.social
Assistant Prof at UCSD. I work on interpretability, fairness, and safety in ML. www.berkustun.com
@sherrirose.bsky.social
Stanford Professor | Computational Health Economics & Outcomes | Fair Machine Learning | Causality | Statistics | Health Policy | Health Equity drsherrirose.org Lab manual: stanfordhpds.github.io/lab_manual Personal account
@roxanadaneshjou.bsky.social
Assistant professor of biomedical data science and dermatology at Stanford. AI for healthcare. Associate editor at NEJM AI and the Journal of Investigative Dermatology. Mother of a sassy girl and a baby boy.
@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.
@irenetrampoline.bsky.social
ML for healthcare and health equity. Assistant Professor at UC Berkeley and UCSF. https://irenechen.net/
@emilyalsentzer.bsky.social
Assistant Professor at Stanford. Trustworthy, deployable ML/NLP for healthcare.
@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
@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.
@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
@rajiinio.bsky.social
AI accountability, audits & eval. Keen on participation & practical outcomes. CS PhDing @UCBerkeley.
@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
@hylandsl.bsky.social
machine learning for health at microsoft research, based in cambridge UK 🌻 she/her
@beenwrekt.bsky.social
Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/
@alexluedtke.bsky.social
associate professor of statistics @uw • causal inference, machine learning, nonparametrics alexluedtke.com
@twkillian.bsky.social
Senior Research Scientist @MBZUAI. Focused on decision making under uncertainty, guided by practical problems in healthcare, reasoning, and biology.
@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
@gaelvaroquaux.bsky.social
Research & code: Research director @inria ►Data, Health, & Computer science ►Python coder, (co)founder of scikit-learn, joblib, & @probabl.bsky.social ►Sometimes does art photography ►Physics PhD
@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.
@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
@timrudner.bsky.social
Assistant Professor & Faculty Fellow, NYU. AI Fellow, Georgetown University. Probabilistic methods for robust and transparent ML & AI Governance. Prev: Oxford, Yale, UC Berkeley. https://timrudner.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
@adoubleva.bsky.social
Researcher at Google DeepMind | organizer afciworkshop.org | research interests: causality, algorithmic fairness