Elena Zheleva
CS Prof @ University of Illinois Chicago. Research in causal inference, machine learning, graph mining, privacy.
www.cs.uic.edu/~elena
@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
@mariaglymour.bsky.social
Professor and Chair of the Department of Epidemiology at Boston University School of Public Health
@pedrosantanna.bsky.social
Associate Professor at Emory University. Causal Inference | Difference-in-Differences | Econometrics. Dad x4
@sshimizu2006.bsky.social
Faculty of Data Science, Shiga University | 滋賀大学 データサイエンス学系 https://scholar.google.fi/citations?user=OpLI4xcAAAAJ&hl=en
@cfiesler.bsky.social
information science professor (tech ethics + internet stuff) kind of a content creator (elsewhere also @professorcasey) though not influencing anyone to do anything except maybe learn things she/her
@md.ekstrandom.net
Info sci prof @ Drexel, trying to keep the machines (esp. RecSys & IR) from learning bigotry and discrimination. ADHDS9. Usually self-propelled. Opinions those of the Vulcan Science Academy. 🐰x3. 🏡 https://md.ekstrandom.net 🧪 https://inertial.science
@friedler.net
CS prof at Haverford, former tech policy at OSTP, research on fairness, accountability, and transparency of ML, @facct.bsky.social co-founder Also at: sorelle@mastodon.social 🦣 (formerly @kdphd 🐦) sorelle.friedler.net
@melaniemitchell.bsky.social
Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems. Website: https://melaniemitchell.me Substack: https://aiguide.substack.com/
@chandlersquires.bsky.social
CMU postdoc, previously MIT PhD. Causality, pragmatism, representation learning, and AI for biology / science more broadly. Proud rat dad.
@danhicks.bsky.social
philosopher turned data scientist turned philosopher. enviro policy, data science, phil sci/STS, lefty stuff. UC Merced. they/them. Signal: danhicks.50
@alisongopnik.bsky.social
Cognitive scientist, philosopher, and psychologist at Berkeley, author of The Scientist in the Crib, The Philosophical Baby and The Gardener and the Carpenter and grandmother of six.
@aschuler.bsky.social
Assistant Professor of Biostatistics UC Berkeley semiparametric statistics, machine learning, causal inference, stats/ML pedagogy, social justice Modern Causal Inference Book: alejandroschuler.github.io/mci/
@raziehnabi.bsky.social
Rollins Assistant Professor of Biostatistics @EmoryRollins, PhD @JHU.edu Interested in causal inference, missing data, machine learning, algorithmic fairness, non/semiparametrics, graphical models, etc raziehnabi.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
@emrekiciman.bsky.social
causal ml; ai+society; social media, comp social science. having fun.. my opinions. he/him. http://hci.social/@emrek
@murat-kocaoglu.bsky.social
Asst. Prof. at Purdue ECE. Causal ML Lab. Causal discovery, causal inference, deep generative models, info theory, online learning. Past: MIT-IBM AI Lab, UT Austin, Koc, METU.
@samikaski.bsky.social
Probabilistic machine learning and its applications in AI, health, user interaction. @ellisinstitute.fi, @ellis.eu, fcai.fi, @aifunmcr.bsky.social
@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
@krikamol.bsky.social
Chief Scientist/Faculty at Rational Intelligence Lab @CISPA; Chief Research Officer (CRO) @ http://Cifer.AI; Previously @MPI_IS, @MahidolU, @uclcs, @GatsbyUCL.
@frejohk.bsky.social
Associate professor, Chalmers University of Technology. Machine learning for decision making & healthcare. http://healthyai.se, http://fredjo.com
@kordinglab.bsky.social
@Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖 , c4r.io
@joshtenenbaum.bsky.social
Computational cognitive scientist @ MIT, reverse engineering the mind and engineering more human intelligence in machines.
@myrthereuver.bsky.social
PhD candidate #NLProc at CLTL, Vrije Universiteit Amsterdam || Interests: Computational Argumentation, Responsible AI, interdisciplinarity, cats || I express my own views
@neuronasko.bsky.social
CUNY neuroscience PhD candidate. Interested in comp neuroscience, comp social science, causality, and philosophy of science. Previously at Stanford/ETH Zurich & UZH/UIUC/UMich (as visiting student). Opinions are my own.
@shirin-nilizadeh.bsky.social
Associate Professor @UTA Security and Privacy Internet Integrity and Safety Postdoc at @UCSB SecLab and CMU Silicon Valley @CyLab PhD @IUBloomington
@patrikgerard.bsky.social
phd student @usc-isi | misinformation, networks, nlp, (hate|fear) speech
@mbilgic.bsky.social
Professor and Chair. Computer Science. Illinois Institute of Technology. Explainable AI. Filter bubbles. Machine learning with rich feedback.
@berkustun.bsky.social
Assistant Prof at UCSD. I work on interpretability, fairness, and safety in ML. www.berkustun.com
@ingmarweber.de
Alexander von Humboldt Professor for AI and Chair for Societal Computing at Saarland University. Co-Director at https://i2sc.net.
@guyvdb.bsky.social
🎓 CS Prof at UCLA 🧠 Researching reasoning and learning in artificial intelligence: tactable deep generative models, probabilistic circuits, probabilistic programming, neurosymbolic AI https://web.cs.ucla.edu/~guyvdb/
@michaelzimmer.bsky.social
Privacy & data ethics scholar. Professor in Computer Science and Director of @MUDataEthics.bsky.social at Marquette University. I also curate @ZuckerbergFiles.bsky.social
@lespin.bsky.social
Visiting Professor at TU Graz Postdoc Complexity Science Hub Vienna & Postdoc Central European University #NetworkFairness #NetworkInequalities #Poverty #SDGs #ComputationalSocialScience #ComputerScience #NetworkScience #ScienceOfScience #AppliedML
@gligoric.bsky.social
CS @Stanford, Computational Social Science, NLP, AI & Society https://kristinagligoric.com/
@shomir.bsky.social
Associate Professor at Penn State. AI researcher working on sociotechnical NLP, especially for privacy and social good. Also posting about academia, photography, and travel. Opinions mine. he/him. http://shomir.net
@yyahn.bsky.social
Prof. at Indiana University Bloomington. Networks, data science, and machine learning. https://yongyeol.com 🚲🚲🚲
@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/
@diyiyang.bsky.social
Assistant Professor @Stanford CS @StanfordNLP @StanfordAILab Computational Social Science & NLP
@mariedj.bsky.social
Truth seeker, puzzler, singer, reader, foodie, traveler, wife, sister, mom, grandma, computer scientist, mentor, ex-professor & ex-dean. She/her pronouns.
@kous2v.bsky.social
Computational Social Science & Social Computing Researcher | Assistant Prof @illinoisCDS @UofIllinois | Prev @MSFTResearch | Alum @ICatGT @GeorgiaTech @IITKgp
@emilioferrara.bsky.social
Prof of Computer Science at USC AI, social media, society, networks, data, and HUMANS LABS http://www.emilio.ferrara.name
@balazskegl.bsky.social
Head of AI Research @HuaweiFr. Podcast: https://youtube.com/@I.scientist.balazskegl Blogs: http://balazskegl.substack.com, https://medium.com/@balazskegl X handle: balazskegl
@tommylofstedt.bsky.social
Docent, associate professor. Machine learning & computer vision. Umeå University, Sweden.
@emcfowland.bsky.social
HBS Professor interested in the development and deployment of Data Science tools (e.g., Anomaly Detection, Causal Inference, Networks) for better decision-making.
@brianckeegan.com
{Social, Data, Network, Information} Scientist at @cuboulder.info High-tempo collaboration, information commons, public interest data science. Born at 345ppm. https://www.brianckeegan.com/ Signal: brianckeegan.26