Ray Lillywhite

👩🏻‍💻❤️✨👩🏻‍🎨

Faculty at the University of Pennsylvania. Lifelong machine learning and AI for robotics and precision medicine: continual learning, transfer & multi-task learning, deep RL, multimodal ML, and human-AI collaboration. seas.upenn.edu/~eeaton

Assistant professor at University of Pennsylvania. Machine learning, optimization, robustness & interpretability. Home page: https://www.cis.upenn.edu/~exwong/ Lab page: https://brachiolab.github.io/ Research blog: https://debugml.github.io/

Founded in 1979, the GRASP Laboratory is an interdisciplinary academic and research center, and premiere robotics incubator within Penn Engineering.

Stanford professor developing collaborative robotics. Directs the Assistive Robotics and Manipulation lab (ARMLab) http://arm.stanford.edu

Graduate student at Penn with an interest in machine learning

Postdoc at Penn Engineering | researching optimization, control, and machine learning | Princeton and Berkeley alumnus

Postdoc at Uppsala University Computational Linguistics with Joakim Nivre PhD from LMU Munich, prev. UT Austin, Princeton, @ltiatcmu.bsky.social, Cambridge computational linguistics, construction grammar, morphosyntax leonieweissweiler.github.io

https://najoung.kim langauge

Director, MIT Computational Psycholinguistics Lab. President, Cognitive Science Society. Chair of the MIT Faculty. Open access & open science advocate. He. Lab webpage: http://cpl.mit.edu/ Personal webpage: https://www.mit.edu/~rplevy

I make colorless green GPUs sleep brrriously. Computational phonology, morphology, language change models, speech/language technologies (especially for people with disabilities).

Assistant professor at Yale Linguistics. Studying computational linguistics, cognitive science, and AI. He/him.

Stanford Professor of Linguistics and, by courtesy, of Computer Science, and member of @stanfordnlp.bsky.social and The Stanford AI Lab. He/Him/His. https://web.stanford.edu/~cgpotts/

Research Scientist at Ai2, PhD in NLP 🤖 UofA. Ex GoogleDeepMind, MSFTResearch, MilaQuebec https://nouhadziri.github.io/

Postdoc @rug.nl with Arianna Bisazza. Interested in NLP, interpretability, syntax, language acquisition and typology.

Faculty fellow at NYU CDS. Previously: PhD @ BIU NLP.

NLP, Linguistics, Cognitive Science, AI, ML, etc. Job currently: Research Scientist (NYC) Job formerly: NYU Linguistics, MSU Linguistics

Assistant Professor of Computational Linguistics @ Georgetown; formerly postdoc @ ETH Zurich; PhD @ Harvard Linguistics, affiliated with MIT Brain & Cog Sci. Language, Computers, Cognition.

Language and thought in brains and in machines. Assistant Prof @ Georgia Tech Psychology. Previously a postdoc @ MIT Quest for Intelligence, PhD @ MIT Brain and Cognitive Sciences. She/her https://www.language-intelligence-thought.net

I study language using tools from cognitive science and neuroscience. I also like snuggles.

Associate professor at CMU, studying natural language processing and machine learning. Co-founder All Hands AI

PhD student at UC San Diego. He/him/his. https://tylerachang.github.io/

Postdoc at ‪Mila & McGill University 🇨🇦 with a PhD in NLP from the University of Edinburgh 🏴󠁧󠁢󠁳󠁣󠁴󠁿 memorization vs generalization x (non-)compositionality. she/her 👩‍💻 🇳🇱

Assistant professor of Linguistics and Data Science at Boston University. NLP, computational linguistics, interpretability, social bias and fairness. she/her. https://www.notaphonologist.com/

PhD student @ Fraunhofer HHI. Interpretability, incremental NLP, and NLU. https://pkhdipraja.github.io/

Will irl - PhD student @ NYU on the academic job market! Using complexity theory and formal languages to understand the power and limits of LLMs https://lambdaviking.com/ https://github.com/viking-sudo-rm

PhD student at ETH Zurich & MPI-IS in NLP & ML Language, Reasoning, and Cognition https://opedal.github.io

linguistics phd student at nyu; machine acquisitionist (she/her)

linguist bylinina.github.io

#NLP / #NLProc , #dataScience, #AI / #ArtificialIntelligence, #linguistics (#syntax, #semantics, …), occasional #parenting, #gardening, & what not. PhD. Adjunct prof once in a full red moon. Industry / technical mentor. Not my opinion, never my employer’s

Master student at ENS Paris-Saclay / aspiring AI safety researcher / improviser Prev research intern @ EPFL w/ wendlerc.bsky.social and Robert West MATS Winter 7.0 Scholar w/ neelnanda.bsky.social https://butanium.github.io

Gemini Post-Training ⚫️ Research Scientist at Google DeepMind ⚫️ PhD from ETH Zurich

AI Safety Research // Software Engineering

Post-doc @ Harvard. PhD UMich. Spent time at FAIR and MSR. ML/NLP/Interpretability

Aspiring 10x reverse engineer at Google DeepMind

PhD student @CMU LTI - working on model #interpretability, student researcher @google; prev predoc @ai2; intern @MSFT nishantsubramani.github.io

CS PhD Student, Northeastern University - Machine Learning, Interpretability https://ericwtodd.github.io

Assistant Professor @HopkinsMedicine @JHUPath https://scholar.google.com/citations?user=dGBD72YAAAAJ

ML/AI researcher @JohnsHopkins

Ph.D. student at @jhuclsp, human LM that hallucinates. Formerly @MetaAI, @uwnlp, and @AWS they/them🏳️‍🌈 #NLProc #NLP Crossposting on X.

PhD @ ETHZ - LLM Interpretability alestolfo.github.io

Independent Mechanistic Interpretability Researcher

Ph.D. Student at UNC NLP | Prev: Apple, Amazon, Adobe (Intern) vaidehi99.github.io | Undergrad @IITBombay

CS Ph.D. Candidate @ Northeastern | Interpretability + Data Science | BS/MS @ Brown koyenapal.github.io

Interpretability

Research Engineer @ FAR.AI taufeeque9.github.io

Interpretability researcher at @eleutherai.bsky.social

creations with code and networks

https://yuzhaouoe.github.io/ | third-year PhD Student @ University of Edinburgh | Prev. Intern @ Microsoft Research Cambridge | Opening the Black Box for Efficient Training/Inference

PhD student #MIT_CSAIL | Intern #MetaAI #Microsoft #MITIBMLab | BS #NTU in #Taiwan

NLP & Interpretability | PhD Student @ University of Trieste & Laboratory of Data Engineering of Area Science Park | Prev MPI-IS

PhD in ML @Mila/UdeM LLM robustness, safety, interpretability

I fall in love with a new #machinelearning topic every month 🙄 Ass. Prof. Sapienza (Rome) | Author: Alice in a differentiable wonderland (https://www.sscardapane.it/alice-book/)

Post-doctoral Researcher at BIFOLD / TU Berlin interested in interpretability and analysis of language models. Guest researcher at DFKI Berlin. https://nfelnlp.github.io/

Asst Prof @ Stevens. Working on NLP, Explainable, Safe and Trustworthy AI. https://ziningzhu.github.io

PhD Student at the ILLC / UvA doing work at the intersection of (mechanistic) interpretability and cognitive science. Current Anthropic Fellow. hannamw.github.io

Second-year PhD student at XplaiNLP group @TU Berlin: interpretability & explainability Website: https://qiaw99.github.io

PhD student at Vector Institute / University of Toronto. Building tools to study neural nets and find out what they know. He/him. www.danieldjohnson.com

Mechanistic interpretability Creator of https://github.com/amakelov/mandala prev. Harvard/MIT machine learning, theoretical computer science, competition math.

Postdoc at the interpretable deep learning lab at Northeastern University, deep learning, LLMs, mechanistic interpretability

PhD Student at the TU Berlin ML group + BIFOLD | BUA Fellow Model robustness/correction 🤖🔧 Understanding representation spaces 🌌✨

Professor of Machine Learning in Agriculture at University of Bonn Working on Explainable ML🔍, Data-centric ML🐿️, Sustainable Agriculture🌾, Earth Observation Data Analysis🌍, and more...

PhDing @unimib 🇮🇹 & @gronlp.bsky.social 🇳🇱, interpretability et similia danielsc4.it

Assistant Professor at TU Wien Machine Learning & Security

ML Ph.D. Candidate @tuberlin.bsky.social and @bifold.berlin | Explainable AI, Interpretability, Efficient Machine Learning farnoushrj.github.io

Professor of Machine Learning at TUBerlin, group leader at PTB. Lab account: @qailabs.bsky.social. @sparsity@mastodon.social tu.berlin/uniml/about/head-of-group

PhD candidate in the XAI group at Fraunhofer HHI

Searching for principles of neural representation | Neuro + AI @ enigmaproject.ai | Stanford | sophiasanborn.com

Assistant Professor at University of Aberdeen | Postdoc at UCL | PhD at University of Sheffield | mechanistic interpretability & multimodal LLMs | https://www.ruizhe.space

INSERM group leader @ Neuromodulation Institute and NeuroSpin (Paris) in computational neuroscience. How and why are computations enabling cognition distributed across the brain? Expect neuroscience and ML content. jbarbosa.org

Postdoc at Linköping University🇸🇪. Doing NLP, particularly explainability, language adaptation, modular LLMs. I‘m also into🌋🏕️🚴.

https://mega002.github.io

Scruting matrices @ Apollo Research

Linguist in AI & CogSci 🧠👩‍💻🤖 PhD student @ ILLC, University of Amsterdam 🌐 https://mdhk.net/ 🐘 https://scholar.social/@mdhk 🐦 https://twitter.com/mariannedhk

Postdoc AI Researcher (NLP) @ ITU Copenhagen 🧭 https://mxij.me

Comm tech & social media research professor by day, symphony violinist by night, outside as much as possible otherwise. German/American Pacific Northwestern New Englander, #firstgen academic, she/her, 🏳️‍🌈 https://anne-oeldorf-hirsch.uconn.edu

Assistant Professor at PoliTo 🇮🇹 | Former Visiting scholar at UCSC 🇺🇸 | she/her | TrustworthyAI, XAI, Fairness in AI https://elianap.github.io/

PhD student at UC Berkeley. NLP for signed languages and LLM interpretability. kayoyin.github.io 🏂🎹🚵‍♀️🥋

Ph.D. in NLP Interpretability from Mila. Previously: independent researcher, freelancer in ML, and Node.js core developer.

PhD student in Computer Science @UCSD. Studying interpretable AI and RL to improve people's decision-making.

PhD Student @ UC San Diego Researching reliable, interpretable, and human-aligned ML/AI

Institute for Explainable Machine Learning at @www.helmholtz-munich.de and Interpretable and Reliable Machine Learning group at Technical University of Munich and part of @munichcenterml.bsky.social

I work with explainability AI in a german research facility

Researcher Machine Learning & Data Mining, Prof. Computational Data Analytics @jkulinz.bsky.social, Austria.

ML researcher, building interpretable models at Guide Labs (guidelabs.bsky.social).

Assistant Professor @ Harvard SEAS specializing in human-computer and human-AI interaction. Also interested in visualization, digital humanities, urban design.

Machine Learning Researcher | PhD Candidate @ucsd_cse | @trustworthy_ml chhaviyadav.org

Assistant Professor @RutgersCS • Previously @MSFTResearch, @dukecompsci, @PinterestEng, @samsungresearch • Trustworthy AI • Interpretable ML • https://lesiasemenova.github.io/

Seeking superhuman explanations. Senior researcher at Microsoft Research, PhD from UC Berkeley, https://csinva.io/

Professor in Artificial Intelligence, The University of Queensland, Australia Human-Centred AI, Decision support, Human-agent interaction, Explainable AI https://uqtmiller.github.io

Assistant Professor @ University of Cambridge. Responsible AI. Human-AI Collaboration. Interactive Evaluation. umangsbhatt.github.io