Steph Milani
PhD Student in Machine Learning at CMU. On the academic job market!
🐦 twitter.com/steph_milani
🌐 stephmilani.github.io
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Created by Steph Milani (1)
CMU MLD
Current and previous people affiliated with the Carnegie Mellon University Machine Learning Department 🧠🤖
@kimiwenzel.bsky.social
she/her PhDing at CMU HCII @hcii.cmu.edu I research AI harms & design best practices using psych/behavioral theory.
@lisaegede.bsky.social
phd student @ cmu hcii | studies racially minortized groups & their tech experiences | tags: equitable AI, design | she/her www.lisaegede.com
@kennethmarino.bsky.social
Assistant Prof at University of Utah Fall 2025. NLP+CV+RL. RS at Google DeepMind. PhD from CMU MLD, undergrad Georgia Tech. Sometimes researcher, frequent shitposter.
@meredithmeredith.bsky.social
President of Signal, Chief Advisor to AI Now Institute
@jeffdean.bsky.social
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
@mmitchell.bsky.social
Researcher trying to shape AI towards positive outcomes. ML & Ethics +birds. Generally trying to do the right thing. TIME 100 | TED speaker | Senate testimony provider | Navigating public life as a recluse. Former: Google, Microsoft; Current: Hugging Face
@sashamtl.bsky.social
Climate & AI Lead @HuggingFace, TED speaker, WiML board member, TIME AI 100 (She/her/Dr/🦋)
@nick11roberts.bsky.social
Ph.D. student at UW-Madison. Working on automating foundation model guided science. Previously at CMU, UCSD, Fresno City College. https://nick11roberts.science
@naveenraman.bsky.social
Machine Learning PhD at Carnegie Mellon University. AI + Decision Making for social good. naveenraman.com
@lilyxu.bsky.social
Developing AI for planetary health. Postdoc at Oxford with the Leverhulme Centre for Nature Recovery & assistant prof at Columbia IEOR (starting fall 2025). https://lily-x.github.io
@sherrytswu.bsky.social
Assist. Prof at CMU, CS PhD at UW. HCI+AI, map general-purpose models to specific use cases!
@anna-kawakami.bsky.social
PhD student in Human-Computer Interaction Institute @ Carnegie Mellon University. Supporting expertise-driven approaches to AI design, evaluation, and governance. annakawakami.com
@zbucinca.bsky.social
PhD Candidate @Harvard; Human-AI Interaction, Responsible AI zbucinca.github.io
@siddancha.bsky.social
Research Scientist at MIT | PhD from CMU | I work in Robotics 🤖
@djain.bsky.social
HCI Assistant Professor at UMich researching accessibility, audio AI, sound interaction, XR, and health. Director, Soundability Lab. Previously, Google, Apple, Microsoft, UW, and MIT Media Lab. https://dhruv-jain.com
@qiaosiwang.bsky.social
🐾Carnegie Bosch Postdoc @ Carnegie Mellon HCII 🤖Mutual Theory of Mind, Human-AI Interaction, Responsible AI. 👩🏻🎓Ph.D. from 🐝Georgia Tech HCC. Prev Google Research, IBM Research, UW-Seattle. She/Her. 🔗 http://qiaosiwang.me/
@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/
@jzleibo.bsky.social
I can be described as a multi-agent artificial general intelligence. OK, so some people pointed out that I am not in fact artificial, contradicting my bio. To them I would reply that I am likely also a cognitive gadget. www.jzleibo.com
@djsutherland.ml
machine learning asst prof at @cs.ubc.ca and amii statistical testing, kernels, learning theory, graphs, active learning… she/her, 🏳️⚧️, @queerinai.com
@abhishekunique7.bsky.social
Assistant Professor, Paul G. Allen School of Computer Science and Engineering, University of Washington Visiting Faculty, NVIDIA Ph.D. from Berkeley, Postdoc MIT https://homes.cs.washington.edu/~abhgupta I like robots and reinforcement learning :)
@taco-cohen.bsky.social
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
@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
@maggiemakar.bsky.social
Assist Prof of computer science @UMichigan CSE & professional email sender. Previously @MIT Machine learning. Causality. Robustness. Healthcare.
@avt.im
Decision-making under uncertainty, machine learning theory, artificial intelligence · anti-ideological · Assistant Research Professor, Cornell https://avt.im/ · https://scholar.google.com/citations?user=6Qa-wXMAAAAJ&sortby=pubdate
@marloscmachado.bsky.social
Assistant Professor at the University of Alberta. Amii Fellow, Canada CIFAR AI chair. Machine learning researcher. All things reinforcement learning. 📍 Edmonton, Canada 🇨🇦 🔗 https://webdocs.cs.ualberta.ca/~machado/ 🗓️ Joined November, 2024
@chandlersquires.bsky.social
CMU postdoc, previously MIT PhD. Causality, pragmatism, representation learning, and AI for biology / science more broadly. Proud rat dad.
@mononitogoswami.bsky.social
Ph.D. Student at Carnegie Mellon, Student Research at Google Formerly Applied Science Intern Amazon, Undergrad at Delhi Technological University 📈 Foundation Models for Structured Data (Time Series, Tabular), applications in healthcare.
@dgrand.bsky.social
Prof at MIT working on misinformation/fake news, social media, polarization, intuition vs deliberation, cooperation, politics, and religion. (he/him) https://davidrand-cooperation.com/
@katjahofmann.bsky.social
At Microsoft Research. Lead of https://aka.ms/game-intelligence - we drive innovation in machine learning with applications in games. https://iclr.cc Board.
@sharky6000.bsky.social
Research Scientist at Google DeepMind, interested in multiagent reinforcement learning, game theory, games, and search/planning. Lover of Linux 🐧, coffee ☕, and retro gaming. Big fan of open-source. #gohabsgo 🇨🇦 For more info: https://linktr.ee/sharky6000
@aifi.bsky.social
Machine Learning | Stein Fellow @ Stanford Stats (current) | Assistant Prof @ CMU (incoming) | PhD @ MIT (prev) https://andrewilyas.com
@kristinaulicna.bsky.social
Research Scientist 👩💻 at @valenceai.bsky.social 🧬🧪, powered by @recursionpharma.bsky.social 🔬🤖 | Bringing @mila-quebec.bsky.social spirit from Montréal 🇨🇦🍁 to our new London office 🇬🇧 | Enthusiastic "singlecellologist" 👩🔬🧫 into #AI & 🐍💻
@cvoelcker.bsky.social
Reinforcement Learning @ UofT/Vector Institute, political agitation @ Queer in AI If I seem very angry, check if I have been watered in the last 24 hours. For professional, see https://cvoelcker.de
@chrisalbon.com
Director of Machine Learning at the Wikimedia Foundation. We host Wikipedia.
@zhilif.bsky.social
ML PhD @ CMU | Prev: research intern @ Microsoft Research New England, Amazon, Bosch.
@hylandsl.bsky.social
machine learning for health at microsoft research, based in cambridge UK 🌻 she/her
@pcastr.bsky.social
Señor swesearcher @ Google DeepMind, adjunct prof at Université de Montréal and Mila. Musician. From 🇪🇨 living in 🇨🇦. https://psc-g.github.io/
@karltuyls.bsky.social
Research Scientist, Entrepreneur - Ex: Team Lead @ DeepMind and @GoogleDeepMind. Also CS professor (Liverpool/Leuven) and LFC fan.
@ianws.bsky.social
Postdoc @ UC Berkeley | statistics, probability, machine learning, privacy 🇨🇦 ianws.com
@malseminar.bsky.social
Website: https://sites.google.com/view/berkeleymarl/home YouTube: https://www.youtube.com/channel/UCta12yCIYeiddDTG-0EaETg
@roydanroy.bsky.social
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.