Alan Jeffares

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

Conservation Biologist | Ornithologist | Nature Photographer | Story-teller | Chevening & Gates Scholar | PhD Candidate @cambridgeuniversity

🧬MTS @ Latent Labs 🎓PhD in ML @ University of Cambridge ⚙️ Ex-RS Intern @ Apple MLR & Microsoft Research 💡GenAI for Biology & Protein Design

PhD student at Machine Learning Department @ CMU

Neuroscience researcher, Dentist, passionate amateur artist. Research analyst and project lead at Rainlab Quantums, a volunteer of the Neuromatch. Advocate by spirit. An open-science fan. Always trying to make a change! Www.elnazalikarami.com

Audio x Machine Learning https://keshwani.io/

•PhD student @ https://www.ucl.ac.uk/gatsby 🧠💻 •Masters Theoretical Physics UoM|UCLA🪐 •Intern @zuckermanbrain.bsky.social| @SapienzaRoma | @CERN | @EPFL https://linktr.ee/Clementine_Domine

IMPRS-IS PhD student @ University of Tübingen with Ulrike von Luxburg and Bedartha Goswami. Mostly thinking about deep learning theory. Also interested in ML for climate science. mohawastaken.github.io

ex-GenMusic co-lead @ DeepMind 👩🏻‍💻 🎸🎹, prog/metal/alt/classic rock, jazz, poetry, 🚣🏻‍♀️🚴🏻‍♀️🧘🏻‍♀️, traveling, festivals. Sometimes ❤️s AI/ML/data 📊 Attends too many concerts 🎫 King's/Darwin/Murray Edwards College, University of Cambridge 🎓

Competitive Machine Learning director at NVIDIA, 3x Kaggle Grandmaster CPMP, ENS ULM alumni. Kaggle profile: https://www.kaggle.com/cpmpml

Research Scientist, Entrepreneur - Ex: Team Lead @ DeepMind and @GoogleDeepMind. Also CS professor (Liverpool/Leuven) and LFC fan.

Research scientist @NVIDIA | PhD in machine learning @UofT. Previously @Google / @MetaAI. Opinions are my own. 🤖 💻 ☕️

Machine learning, environmental modeling, sustainability, robotics Professor @UCL He/him

Research Scientist. Houston, TX. Research interests: Complexity Sciences, Matrix Decomposition, Clustering, Manifold Learning, Networks. https://www.lionelyelibi.com/ 🇺🇸🇨🇮🇿🇦

statistics Associate Prof in UCD 🇮🇪 working on problems in genetics, social networks, etc. 🏃🏻‍➡️🚲 maths.ucd.ie/~mst

Associate Professor @UAntwerp, sqIRL/IDLab, imec. #RepresentationLearning, #Model #Interpretability & #Explainability A guy who plays with toy bricks, enjoys research and gaming. Opinions are my own idlab.uantwerpen.be/~joramasmogrovejo

Lecturer (Assistant Professor) at Royal Holloway, University of London ML and Computational Neuroscience 🧠🇬🇧🇩🇪🇦🇹🇺🇸🇮🇳 Mastodon: @anandsubramoney@sigmoid.social https://anandsubramoney.com

Assistant Professor in machine learning @VUAmsterdam Abstract representations+reinforcement learning.

Materials & AI PhD @MIT | MechE @UCSD | generative ai, mechanics, & biological materials science

PhD student @jhuclsp I work on multilingual data for training and evaluation. rewicks.github.io

PhD Student in Computer Science at Tufts University | I mostly work on NLP topics but also like video games and books

Postdoctoral Research Scientist in Statistics at Columbia University

An Irish podcast with enough about the key tech topic of our time for you to feel more confident and informed. Hosted by Dónal and Ciarán. Learn more about #GenAI by finding us on your favourite podcast platforms or on: https://podcast.enoughaboutai.com/

Enjoy not enjoying ideals | Interpretability of modular convnets applied to 👁️ and 🛰️🐝 | she/her 🦒💕 variint.github.io

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

Neuroscience & AI at University of Oxford and University of Cambridge | Principles of efficient computations + learning in brains, AI, and silicon 🧠 NeuroAI | Gates Cambridge Scholar www.jachterberg.com

PhD student @ University of Cambridge, focusing on Explainability and Interpretability for GNNs

Visiting Researcher @NYU Courant, CILVR. PhD student @TU Denmark, MLLS(https://mlls.dk). Probabilistic ML/DL. Nth order Markovian. Support Manifolds and latents. Previously intern @SonyAI in deep generative modelling. web: http://uppalanshuk.github.io

Bioinformatics PhD Student in the Ren lab at UCSD. Modeling gene regulation across species.

Postdoc research & Teaching Fellow @ Uni of Cambridge: Human-Robot and Human-AI Interaction, (Co-)Design, Wellbeing Technology, AI & Robot Ethics Prev.: MIT Media Lab, Aalto Uni, Co-founder & Artist @ Ekho Collective https://minjaaxelsson.com Suomi🇫🇮/FI

Assistant Prof at Penn CIS | Postdoc at Microsoft Research | PhD from UT Austin CS | Co-founder LeT-All

Data person. Formerly at OpenAI, even more formerly an actuary. Posts (rarely) about ML/AI, financial markets, urbanism, and/or cats.

🎓 PhD student @cvisionfreiburg.bsky.social @UniFreiburg 💡 interested in mechanistic interpretability, robustness, AutoML & ML for climate science https://simonschrodi.github.io/

🦠🧬💻 AI in Life Sciences / PostDoc at EPFL / ETH Zürich PhD

PhD student in ML + Medical Image Computing @dkfz.bsky.social / Uni Heidelberg

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

Ph.D. Artificial Intelligence (CDT) @ Edinburgh University | prev Research Scientist Intern @ Meta Reality Labs | ML+Signal Processing+Neural Interfaces

phd student @convai_uiuc @UIUC

Neural network interested in statistics, physics, and computing. Mostly network science. Asst prof @ Cambridge

Research scientist at Meta on the llama team Thinking about language models Past: PhD at NYU, fellow at Harvard’s Kempner Institute

https://nparikh.org

AI Engineer @ Stein Aerts lab

Ph.D., epidemiology. research software engineer @ Stanford Health Policy. living in Ann Arbor. open-source data science. causal inference. doing poems on aircrafts. approximately Bayesian. formerly Posit, Apple, AmeriCorps. 心を燃やせ。sic semper tyrannis.

Member of Technical Staff at OpenAI

Epidemiologist + Statistician | Clinical Research Facility - University College Cork | UCC School of Public Health | #ClinicalTrials #Epidemiology #Statistics #RStats #IDSurveillance Views mine -> https://statsepi.substack.com/

https://github.com/PySpur-Dev/PySpur PhD Student at UCL // LLMs

PhD Candidate at Institute of AI in Management, LMU Munich causal machine learning, causal inference

Blog: https://argmin.substack.com/ Webpage: https://people.eecs.berkeley.edu/~brecht/

Assistant Professor of "Data Science in Economics" at Uni Tübingen. Interested in the intersection of causal inference and so-called machine learning. Teaching material: https://github.com/MCKnaus/causalML-teaching Homepage: mcknaus.github.io

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

Research analyst at Kaiko, formerly Business Insider, The Block, and DL News

Reinforcement learning 🍒, machine learning. He/him. reggiemclean.ca

Machine Learning PhD student at Cambridge University, visiting Cornell. Previously at Oxford and Google. Principled ML & applications in medicine.

Postdoctoral Researcher at KTH University, Sweden | 🤖🧠 Machine Learning, Time Series, Neuroscience & Dynamical Systems | Physics PhD from University of Buenos Aires 📚: https://scholar.google.com/citations?user=q5sweuIAAAAJ&hl=en

ML Research Engineer - occasional posts on NLP, RL, ML, LLMs etc Also occasional random stuff

PhD student @ Julius Center, UMC Utrecht | causal inference 🤝clinical prediction

AI/ML⚡️& ChemE 🧪 @ Stanford. Past: founder Plume Labs (acquired by AccuWeather). Don’t be fooled by the tweets that I’ve got I’m still I’m still @rlacombe on X (and here). -> https://romainlacombe.com

PhDing in NLP @ IIT Delhi | Google PhD Fellow | Ex-Research Intern @ Adobe Research | Robustness and Interpretability of LLM Inference Website: https://c-anwoy.github.io/

machine learning for health at microsoft research, based in cambridge UK 🌻 she/her

Generative AI for precision health Real-world evidence https://aka.ms/hoifung

Subgroup Lead at the University of Freiburg researching generalizability of RL and Automated RL

Assistant Professor of AI @ Eindhoven University of Technology. Previously VUB and MIT. Interested in fundamental insights about deep learning and AI.

Founder @ ??? Ex-Machine Learning Engineer @ FAANG. Researched DeepRL+Affective Computing @usc

PhD student @ MRC LMS & Imperial College London. Evolution / bioinformatics & ML / microbiology. Current focus on conflicts between archaea and bacteria.

PhD Student in the STAI group at the University of Tübingen and IMPRS-IS | Volunteering at KI macht Schule and Viva con Agua elisanguyen.github.io prev. intern at Vector Institute, MSR DL

2nd year of PhD@kinit.sk Interested in AI/ML in general, but I am doing my dissertation about multi-task and modular parameter-efficient training of large language models. I also occasionally brew beer and play videogames.

Complex Systems Modelling and AI to Leave No One Behind | Responsible Computer Scientist

Postdoctoral Researcher at Utrecht University | Including different styles in NLP | she/her https://annawegmann.github.io/

PhD Student in Machine Learning @ICepfl MLO, MSc/BSc from @ETH_en. haeggee.github.io

Spatial Data Scientist, Doctoral Researcher #HumanMobility #geospatial @mpidr.bsky.social, @imprs-phds.bsky.social, @upf.edu #rspatial #rstats dev of #rstats github.com/rOpenSpain/spanishoddata 🌐: www.ekotov.pro datasci.social/@EgorKotov

PhD Student at UiO, Researcher at NIPH, Fulbright Scholar, Statistician, Economist, Industrial Engineer. Web: johandh2o.github.io

NLP PhD from Aix-Marseille Université Mostly eval (very interested in digital humanity and dataviz too)

PhD student in NLP+AI Ethics @ ILLC, University of Amsterdam prev maths at Imperial College London, TUM #NLP #NLProc

AI for climate change and biodiversity. PhD. Co-founder @climateainordics.com -- Head of deep learning research at RISE in Sweden. Love trail running and snowboarding. See feed on AI for climate change. -- https://climateainordics.com , https://ridr.se

Scientist 💭💻🧠 AI/ML+MedChem PhD @ University of Cambridge • Director @ Women in Machine Learning • she/godless/non-mum 🧚‍♀️ • dc/dvij/brit 💩• sentient welfare, near+longterm 🖤

Postdoc @ University of California, Irvine | PhD from CS@UCLA Neuro-Symbolic AI, Tractable Probabilistic Reasoning, Generative Models kareemahmed.com

Senior Principal Researcher @MSRCambridge. Working on reasoning in language models.

Working at microsoft research health futures. Interested in causal representation learning and generative modelling applied to medical data.

PhD, programming computers at EPFL. Playing viola, running, skiing when away from keyboard.

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

Assistant Prof of Statistics at Rutgers Previously: postdoc in the Blei Lab at Columbia. PhD in Statistics from University of Pennsylvania. https://www.gemma-moran.com Aussie 🦘| NYC-based 🗽

Please insert pretentious things about myself here: PhD student in Machine Learning @ University of Cambridge | Previously MSc & Bsc @ ETH Zürich fanconic.github.io

https://Answer.AI & https://fast.ai founding CEO; previous: hon professor @ UQ; leader of masks4all; founding CEO Enlitic; founding president Kaggle; various other stuff…

Website: https://yeshwanth95.github.io PhD student working on urban understanding, 2D/3D geometry, remote sensing, and other stuff.

Assistant Professor @Stanford CS @StanfordNLP @StanfordAILab Computational Social Science & NLP

Assistant Professor of Computer Science @ LMU (lmu.edu) Kubishi Research Group (research.kubishi.com) Cooperative multi-agent systems, distributed computing, online algorithms, large language models (LLMs), language revitalization

Associate Professor at Université Paris-Saclay. Interested in Protein Structure, Interactions and Evolution, Machine Learning, and Julia programming. https://diegozea.github.io/

PhD Student at UMich Statistics. The account mostly trashes about urban planning and infrastructure. Probability, Statistics, and Evolutionary Biology. https://hanbin973.github.io

Senior Lecturer in Computer Science | Manchester Met | NCA/NHS | Machine Learning in Science | Tabular, Signal, Timeseries data

PhD student @PUT_Poznan | @ghostdayamlc | Program synthesis | Neurosymbolic AI

I hate slop and yet I work on generative models PhD from UT Austin, applied scientist @ AWS He/him • https://bostromk.net

Family, Learning, AI, Maths, Outdoors, Music. Currently reading DPhil at SABS DTC, University of Oxford

ELLIS PhD student @Uni_stuttgart @EdinburghUni, Cautiously optimistic about GNNs and KGs | prev: @iiit_hyderabad @GoogleDeepMind

Medical Physicist/Research Fellow @SLRON, Dublin, Ireland. Radiotherapy, AI, Data science. Views are my own.

Machine learning PhD student @ Blei Lab in Columbia University Working in mechanistic interpretability, nlp, causal inference, and probabilistic modeling! Previously at Meta for ~3 years on the Bayesian Modeling & Generative AI teams. 🔗 www.sweta.dev