Postdoctoral Researcher @UvA_Amsterdam | Prev. @Meta, @KU_Leuven, @Netcetera_Buzz | Vision and Language
I’m not like the other Bayesians. I’m different.
Thinks about philosophy of science, AI ethics, machine learning, models, & metascience. postdoc @ Princeton.
Head of Div. Intelligent Medical Systems (IMSY) at DKFZ, director of the National Center of Tumor Diseases (NCT) Heidelberg and @ellis.eu Health board member. Excited about Medical Imaging AI, Surgical Data Science, and Validation of A(G)Is.
Cognitive scientist. Problem solving, representational change, analogies, case studies, qualitative methods
Former German Nazi concentration & extermination camp Auschwitz. Official account. We commemorate victims, educate about history & preserve the authentic site.
www.auschwitz.org | lesson.auschwitz.org | podcast.auschwitz.org
TMLR Homepage: https://jmlr.org/tmlr/
TMLR Infinite Conference: https://tmlr.infinite-conf.org/
VP and Distinguished Scientist at Microsoft Research NYC. AI evaluation and measurement, responsible AI, computational social science, machine learning. She/her.
One photo a day since January 2018: https://www.instagram.com/logisticaggression/
Building a co-pilot for hardware designers at Vinci4d. Formerly SVP of Engineering Iron Ox. WiML president, COO Mayfield Robotics Roboticist/Machine Learning Researcher
Assistant Professor in CS: researching ML/AI in sociotechnical systems & teaching Data Science and Dev tools with an emphasis responsible computing
New Englander, NSBE lifetime member
profile pic: me in a purplish sweater with math vaguely on the w
I lead Cohere For AI. Formerly Research
Google Brain. ML Efficiency, LLMs,
@trustworthy_ml.
Machine Learning researcher. Former stats faculty. Works for Google Research, and on better days, herself.
Researcher in machine learning and computer vision for science. Senior Group Leader at HHMI Janelia Research Campus. Supporter of DEIB in science and tech. CV: https://bit.ly/BransonCV
Personal Account
Founder: The Distributed AI Research Institute @dairinstitute.bsky.social.
Author: The View from Somewhere, a memoir & manifesto arguing for a technological future that serves our communities (to be published by One Signal / Atria
PhD student in Machine Learning @ MPI-IS Tübingen, Tübingen AI Center, IMPRS-IS
PhD Candidate, University of Washington
https://salonidash.com/
Harvard CS PhD Candidate. Interested in algorithmic decision-making, data-centric ML, and applications to public sector operations
Research on AI and biodiversity 🌍
Asst Prof at MIT CSAIL,
AI for Conservation slack and CV4Ecology founder
#QueerInAI 🏳️🌈
ML for remote sensing @Mila_Quebec * UdeM x McGill CS alum
Interests: Responsible ML for climate & societal impacts, STS, FATE, AI Ethics & Safety
prev: SSofCS lab
📍🇨🇦 Montreal (allegedly)
TW: @XMichellelinX
https://mchll-ln.github.io/
She/Her • AI Engineer @ IBM Research • MSc in AI @ UFMG 🇧🇷 | Interested in AI Ethics, Safety & Tech Governance. AI/ML engineering & robustness • @blackinai👩🏽💻 (I’m trying to leave twitter🙂↕️)
https://mirianfsilva.github.io
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
more: casey.prof
digital ethicist leading #responsibleAI and emerging tech risk work at BMO // 🇨🇦🇬🇧
AI • quantum • data // oxford • university of toronto // video game enthusiast
all views my own
PhD student at University of Michigan School of Information. Data and evaluation practices for language models / language models as cultural technologies.
https://meera-desai.com
A research scientist @Northeastern #AIEthics, #ResponsibleAI (she/her)
Work on amplifying voices that we should hear more. My research is on cultural representation and perspective communication in AI. https://www.shirandudy.com
Postdoc at DTU Energy working on machine learning for modelling material science.
Currently on a research stay at Sam Coopers group, Imperial College London
Gemini Post-Training @ Google DeepMind
Previously: ETH Zurich, Cambridge, CERN
alizeepace.com
PhD @ucberkeleyofficial.bsky.social | Past: AI4Code Research Fellow @msftresearch.bsky.social | Summer @EPFL Scholar, CS and Applied Maths @IIITDelhi | Hobbyist Saxophonist
https://lakshyaaagrawal.github.io
Maintainer of https://aka.ms/multilspy
Prof (CS @Stanford), Co-Director @StanfordHAI, Cofounder/CEO @theworldlabs, CoFounder @ai4allorg #AI #computervision #robotics #AI-healthcare
machine learning asst prof at @cs.ubc.ca and amii
statistical testing, kernels, learning theory, graphs, active learning…
she/her, 🏳️⚧️, @queerinai.com
Assistant Professor, University of Waterloo. I try to help people make informed decisions with data. #HCI, #Viz, applied #AI/#ML.
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/
🇿🇦 | Fairness in AI | University of Oxford | Deep Learning Indaba | Internships: Google DeepMind || Microsoft Research
https://siobhanmackenziehall.com/
PhD student @ Cornell info sci | Sociotechnical fairness & algorithm auditing | Previously Stanford RegLab, MSR FATE, Penn | https://emmaharv.github.io/
Ethical/Responsible AI. Rigor in AI. Grumpy eastern european in north america. Lovingly nitpicky.
Sr. Principal Research Manager at Microsoft Research, NYC // Machine Learning, Responsible AI, Transparency, Intelligibility, Human-AI Interaction // WiML Co-founder // Former NeurIPS & current FAccT Program Co-chair // Brooklyn, NY // http://jennwv.com
Asst Prof at Cornell Info Sci and Cornell Tech. Responsible AI
https://angelina-wang.github.io/
CS PhD Student @ Stanford
Data, Diversity, and Downstream Impacts
https://heyyjudes.github.io
Assistant Professor in NLP (Fairness, Interpretability and lately interested in Political Science) at the University of Copenhagen ✨
Before: PostDoc in NLP at Uni of CPH, PhD student in ML at TU Berlin
asst prof of computer science at cu boulder
nlp, cultural analytics, narratives, communities
books, bikes, games, art
https://maria-antoniak.github.io
Assistant Professor and Director of Critical ML@ WaterlooENG | Postdoc @ CS USCViterbi | PhD @ UMN | Representation Learning | AI for Manufacturing & Ops | AI for Health | Theory-guided ML for the Real-World |Views Personal |
https://sirisharambhatla.com/
@_angie_chen at the other place
PhD student @NYU, formerly at
@Princeton 🐅
Interested in LLMs/NLP, pastries, and running. She/her.
Director of AI & Data Science @ BCBS MN | Transforming healthcare, one reimbursement at a time | Building cutting-edge responsible AI solutions for a mission driven non-profit | Ex CVS Health | PhD in CS | RPI & IISc Alum | Views my own
Staff Research Scientist at Google DeepMind. Artificial and biological brains 🤖 🧠
SmolLMs & Data @huggingface
Training SmolLMs and curating high quality web and synthetic datasets ✨
https://loubnabnl.github.io/
Assistant Professor of CS at CU Boulder. I research statistical & geospatial machine learning.
Research Scientist at GDM. Statistician. Mostly work on Responsible AI. Academia-industry flip-flopper.
Founder & executive & community builder & organizer & researcher
ML Collective (mlcollective.org)
Google DeepMind
rosanneliu.com
Prof at Georgia Tech
https://faculty.cc.gatech.edu/~judy/
Machine Learning and Computer Vision Researcher
Co-CEO, Yutori. Try out Scouts at yutori.com.
Robustness, Data & Annotations, Evaluation & Interpretability in LLMs
http://mimansajaiswal.github.io/
Asst. Prof. UNC Chapel Hill CS
Computer Vision & Graphics.
https://www.cs.unc.edu/~ronisen/
Machine Learning Researcher | PhD Candidate @ucsd_cse | @trustworthy_ml
chhaviyadav.org
Professor for CS at the Tuebingen AI Center and affiliated Professor at MIT-IBM Watson AI lab - Multimodal learning and video understanding - GC for ICCV 2025 - https://hildekuehne.github.io/
SF & FFM ~
BI ML Data Ethics IIoT global digital business process improvements
Computing Science prof in multimodal embodied AI, emotion, interaction at SFU in Vancouver 🇨🇦🇵🇭 Director of the Rosie Lab www.rosielab.ca Canada CIFAR AI Chair. Previously at SoftBank Robotics 🤖 FR/JP
MIT // researching fairness, equity, & pluralistic alignment in LLMs
previously @ MIT media lab, mila / mcgill
i like language and dogs and plants and ultimate frisbee and baking and sunsets. she/her
https://elinorp-d.github.io
PhD student at @amlab.bsky.social
Geometric deep learning + Generative modeling.
🇳🇱🇺🇸🇮🇳
Organizer @gram-org.bsky.social and @scifordl.bsky.social workshop
📍 Amsterdam/SF
Professor at the University of Copenhagen. Explainable AI, Natural Language Processing, ML. Head of copenlu.bsky.social lab.
#NLProc #NLP #XAI
http://isabelleaugenstein.github.io/
Researcher at @fbk-mt.bsky.social | inclusive and trustworthy machine translation | #NLP #Fairness #Ethics | she/her | https://bsavoldi.github.io/
Into creative ML/AI, NLP, data science and digital humanities, narrative, infovis, games, sf & f. Consultant, ds in Residence at Google Arts & Culture. (Lyon, FR) Newsletter arnicas.substack.com.
Chief Scientist @ Distributional.com @dbnlAI.bsky.social #MLSky #StatSky
Founder @ datascientific.com
Founder wimlds.org & co-founder rladies.org
PhD @ UC Berkeley
🏡 🌈 Oakland, California.
Mathematician showing others the beauty in mathematics ✨
📩 info@northbanktalent.com
Association for Uncertainty in AI.
Upcoming conference: #uai2026 August 17-21 in Amsterdam, Netherlands! 🇳🇱
https://auai.org/uai2026
The 2025 Conference on Language Modeling will take place at the Palais des Congrès in Montreal, Canada from October 7-10, 2025
20th International conference on Neurosymbolic Learning and Reasoning
University of Lisbon, Lisbon, Portugal
1 to 4 September 2026
https://nesy-ai.org/
https://2026.nesyconf.org
International Conference on Learning Representations https://iclr.cc/
The Association for Computational Linguistics (ACL) is a scientific and professional organization for people working on Natural Language Processing/Computational Linguistics.
Hash tags: #NLProc #ACL2026NLP
Investigative journalist at Lighthouse Reports. Algorithms & surveillance. https://www.lighthousereports.com/team/gabriel-geiger/
AI Correspondent at the Financial Times. Formerly senior reporter for AI at MIT Technology Review
NYT bestselling author of EMPIRE OF AI: empireofai.com. ai reporter. national magazine award & american humanist media award winner. words in The Atlantic. formerly WSJ, MIT Tech Review, KSJ@MIT. email: http://karendhao.com/contact.
Professor @UCLA, Research Scientist @ByteDance | Recent work: SPIN, SPPO, DPLM 1/2, GPM, MARS | Opinions are my own
Professor of Applied Physics at Stanford | Venture Partner a16z | Research in AI, Neuroscience, Physics
AI professor at Caltech. General Chair ICLR 2025.
http://www.yisongyue.com
Chief AI Scientist at Databricks. Founding team at MosaicML. MIT/Princeton alum. Lottery ticket enthusiast. Working on data intelligence.
Professor and Head of Machine Learning Department at Carnegie Mellon. Board member OpenAI. Chief Technical Advisor Gray Swan AI. Chief Expert Bosch Research.
Researcher @MSFTResearch; Prof @UWMadison (on leave); learning in context; thinking about reasoning; babas of Inez Lily.
https://papail.io
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
Director, Princeton Language and Intelligence. Professor of CS.
I work on AI at OpenAI.
Former VP AI and Distinguished Scientist at Microsoft.
Machine learning researcher. Professor in ML department at CMU.
UC Berkeley Professor working on AI. Co-Director: National AI Institute on the Foundations of Machine Learning (IFML). http://BespokeLabs.ai cofounder
work on theoretical foundations of AI, MLLM reliability/Eval, optimization, high dimensional probability/statistics, AI for science/healthcare; director of center on AIF4S @USC 🚲🏔️🥾🏊♂️
Assistant Prof at Penn CIS | Postdoc at Microsoft Research | PhD from UT Austin CS | Co-founder LeT-All
Research Scientist @ Google DeepMind. AI + physics. Prev Ph.D. @ UC Berkeley.
https://sites.google.com/view/yasamanbahri/home/
Researcher in machine learning
Associate Professor of Electrical Engineering, EPFL.
Amazon Scholar (AGI Foundations). IEEE Fellow. ELLIS Fellow.
Researcher in computational mathematics
Theory of deep learning, optimal transport, optimization
EPFL
Prof at EPFL
AI • Climbing
Director of the Center for the Advancement of Progress
Professor at University of Toronto. Research on machine learning, optimization, and statistics.
EECS Prof @UMich, Research on the Foundations of ML+RL+LLM
https://sota.engin.umich.edu/
Research scientist at OpenAI working on reasoning and RL. Previously PhD student at Stanford University working with Percy Liang and Tengyu Ma.
Research Fellow @ Kempner Institute, Harvard University
Theory of Deep Learning / Learning of Deep Theory
Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org
Postdoc @ EPFL, working on the theory of deep learning. Previously Polytechnique and Sorbonne Université.
Applied mathematician working on machine learning, statistics and compilers. Currently doing research at FGV EMAp.
dccsillag.xyz
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes 🏓🏋️♂️🎾🏐⛷️⛸️🧘♂️🤿🎹🎸✈️🏔️📷☀️🐈🍅🥚☕️
PhD Candidate Mila/University of Montreal | Intern at Amazon | Ex. ServiceNow, Recursion, UpStride | Researching to understand how Deep Learning works
https://rarefin.github.io
Professor at the Gatsby Unit and Sainsbury Wellcome Centre, UCL, trying to figure out how we learn
