Philippe Desjardins-Proulx
Exploring {Probabilistic Programming w/ Typed λ-Calculi; Lean; Program Synthesis; Self-Improving A.I.; Evolutionary Genetics} @ umontreal. Ph.D. USherbrooke
@josuerodriguez.bsky.social
• Data Scientist in EdTech • PhD in Quant Psych https://josue-rodriguez.github.io
@freakonometrics.bsky.social
Dad of 3 & born-again mathematician. Statistician, economist, fellow actuary & data addict. Professor & researcher in Montréal, Canada. Previously in Paris, Hong Kong, Leuven & Rennes. Full of 'satiable curtiosity https://mastodon.social/@freakonometrics
@elliotlip.bsky.social
To be specific, in the Dawes, Tomes, Mousely, Grubbs Fidelity Fiduciary Bank. http://elliotlipnowski.com/
@welltypedwit.ch
When the limestone of imperative programming has worn away, the granite of functional programming will be revealed underneath -Simon Peyton Jones https://welltypedwit.ch
@jessicahullman.bsky.social
Ginni Rometty Prof @NorthwesternCS | Fellow @NU_IPR | Uncertainty + decisions | Humans + AI/ML | Blog @statmodeling
@randomwalker.bsky.social
Princeton computer science prof. I write about the societal impact of AI, tech ethics, & social media platforms. https://www.cs.princeton.edu/~arvindn/ BOOK: AI Snake Oil. https://www.aisnakeoil.com/
@azjacobs.bsky.social
Asst Prof of Information @ UMich thinking about assumptions built into AI
@rajiinio.bsky.social
AI accountability, audits & eval. Keen on participation & practical outcomes. CS PhDing @UCBerkeley.
@sayash.bsky.social
CS PhD candidate at Princeton. I study the societal impact of AI. Website: cs.princeton.edu/~sayashk Book/Substack: aisnakeoil.com
@allisonkoe.bsky.social
asst prof @ cornell info sci | fairness in tech, public health & services | alum of MSR, Stanford ICME, NERA Econ, MIT Math | she/her | koenecke.infosci.cornell.edu
@berkustun.bsky.social
Assistant Prof at UCSD. I work on interpretability, fairness, and safety in ML. www.berkustun.com
@aaroth.bsky.social
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
@angelinawang.bsky.social
Postdoc at Stanford HAI | ML fairness and algorithmic bias | incoming Asst Prof at Cornell Info Sci and Cornell Tech https://angelina-wang.github.io/
@urish.bsky.social
Machine learning researcher, working on causal inference and healthcare applications
@dhadfieldmenell.bsky.social
Assistant Prof of AI & Decision-Making @MIT EECS I run the Algorithmic Alignment Group (https://algorithmicalignment.csail.mit.edu/) in CSAIL. I work on value (mis)alignment in AI systems. https://people.csail.mit.edu/dhm/
@rbsteed.com
AI Policy Fellow @ Princeton | PhD Carnegie Mellon | privacy, accountability, & algorithmic systems
@angelamczhou.bsky.social
assistant prof at USC Data Sciences and Operations; phd Cornell ORIE. data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity angelamzhou.github.io
@geomblog.bsky.social
Director, Center for Tech Responsibility@Brown. FAccT OG. AI Bill of Rights coauthor. Former tech advisor to President Biden @WHOSTP. He/him/his. Posts my own.
@sxz.bsky.social
Assistant Professor of Sociology at NYU. Classification, prediction, and AI in decision-making, social policy, and law. www.simonezhang.com
@msalganik.bsky.social
Professor of Sociology, Princeton, www.princeton.edu/~mjs3 Author of Bit by Bit: Social Research in the Digital Age, bitbybitbook.com
@bstewart.bsky.social
Associate Professor of Sociology, Princeton http://brandonstewart.org/
@mattgroh.bsky.social
Assistant professor at Northwestern Kellogg | human AI collaboration | computational social science | affective computing
@rafmbatista.bsky.social
PhD Student UChicago-Booth. #BehSci, consumer psych, econ, policy, AI. Thinking (& tweeting) about everyday decisions & experiences. Job Mkt Candidate!
@lukestark.bsky.social
🏳️🌈 just a simple country AI ethicist | Assistant Professor, Western University 🇨🇦 | he/his/him | | no all-male panels |#BLM | 🏳️⚧️ ally | views my own https://starkcontrast.co/ https://starlingcentre.ca/
@irenetrampoline.bsky.social
ML for healthcare and health equity. Assistant Professor at UC Berkeley and UCSF. https://irenechen.net/
@amalaa.bsky.social
Assistant Professor at UC Berkeley and UCSF. Machine Learning and AI for Healthcare. https://alaalab.berkeley.edu/
@willieneis.bsky.social
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs. https://willieneis.github.io
@przemyslslaw.bsky.social
CS faculty at University College Dublin and the University of Massachusetts Amherst: responsible AI, social media, news media, computational social science, applied NLP, open-world AI RT≠endorsement, RT=interesting read More: https://przemyslslaw.github.io
@ncollina.bsky.social
Penn CS PhD student and IBM PhD Fellow studying strategic algorithmic interaction. Calibration, commitment, collusion, collaboration. She/her. Nataliecollina.com
@iraglobusharris.bsky.social
PhD student at U Penn, interested in bridging responsible and robust algorithm design and practice.
@brwilder.bsky.social
Assistant Professor at Carnegie Mellon. Machine Learning and social impact. https://bryanwilder.github.io/
@peterbergman.bsky.social
Associate Prof. of Economics @utaustin. Director http://learningcollider.org. @NBERpubs affiliate. Co-Chair @mit @jpal edtech. Schmidt Futures Innovation Fellow. www.peter-bergman.com.
@renzheyu.bsky.social
Assistant Professor @columbiauniversity.bsky.social | Responsible AI and educational equity | He/him renzheyu.com
@nkgarg.bsky.social
I study algorithms/learning/data applied to democracy/markets/society. Asst. professor at Cornell Tech. https://gargnikhil.com/. Helping building personalized Bluesky research feed: https://bsky.app/profile/paper-feed.bsky.social/feed/preprintdigest
@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
@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
@kenholstein.bsky.social
HCI Prof at CMU HCII. Research on augmented intelligence, participatory AI, collective intelligence, & human-AI complementarity. thecoalalab.com
@benzevgreen.bsky.social
Assistant professor in the University of Michigan School of Information. https://www.benzevgreen.com
@zbucinca.bsky.social
PhD Candidate @Harvard; Human-AI Interaction, Responsible AI zbucinca.github.io
@mariadearteaga.bsky.social
Asst Professor, IROM Dept, UT Austin | FAccT EC | PhD, Machine Learning & Public Policy, Carnegie Mellon | Algorithmic fairness, human-AI collab | 🇨🇴 💚 she/her/ella.
@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
@umangsbhatt.bsky.social
Assistant Professor & Faculty Fellow @ NYU. Responsible AI. Human-AI Collaboration. Interactive Evaluation. umangsbhatt.github.io
@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/
@wesleydeng.bsky.social
Ph.D. @ CMU HCII. Developing tools and processes to support Responsible AI practices on the ground. Currently focusing on AI red-teaming, auditing, and impact assessment. Prev. Microsoft Research, Berkeley EECS. https://www.wesleydeng.com
@besmiranushi.bsky.social
AI/ML, Responsible AI, Technology & Society @MicrosoftResearch