Desi R Ivanova
Research fellow @OxfordStats @OxCSML, spent time at FAIR and MSR
Former quant ๐ (@GoldmanSachs), former former gymnast ๐คธโโ๏ธ
My opinions are my own
๐ง๐ฌ-๐ฌ๐ง sh/ssh
@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
@jan-peters.bsky.social
#RobotLearning Professor (#MachineLearning #Robotics) at @ias-tudarmstadt.bsky.social of @tuda.bsky.social @dfki.bsky.social @hessianai.bsky.social
@simonsinstitute.bsky.social
The world's leading venue for collaborative research in theoretical computer science. Follow us at http://YouTube.com/SimonsInstitute.
@raymondrchua.bsky.social
NeuroAI PhD Candidate at McGill / Mila. Loves: ๐ง ๐๏ธ ๐๏ธ ๐๐ปโโ๏ธ ๐ด๐ปโโ๏ธ ๐๐ปโโ๏ธ ๐จ๐โ https://raymondchua.github.io
@risaueno.bsky.social
@ltronneberg.bsky.social
Postdoctoral fellow @ University of Oslo (back home in ๐๏ธ๐ณ๐ด๐๏ธ), Bayesian stats (high-dimensional, nonparametric, ML), biostatistics, computation. Previously @ MRC Biostatistics Unit, University of Cambridge ๐ฌ๐ง
@gcant.bsky.social
Neural network interested in statistics, physics, and computing. Mostly network science. Asst prof @ Cambridge
@ml4x.bsky.social
Curious. Researching #MachineLearning for Scientific Discovery. #ml4science #ai4science I choose #OpenSource and #OpenScience . Solving problems in #LifeScience #Genomics #RadioAstronomy Read Mathematics for Machine Learning at https://mml-book.com
@skiandsolve.bsky.social
โท๏ธ ML Theorist carving equations and mountain trails | ๐ดโโ๏ธ Biker, Climber, Adventurer | ๐ง Reinforcement Learning: Always seeking higher peaks, steeper walls and better policies. https://ualberta.ca/~szepesva
@benmpoole.bsky.social
research scientist at google deepmind. phd in neural nonsense from stanford. poolio.github.io
@arnauddoucet.bsky.social
Senior Staff Research Scientist @Google DeepMind, previously Stats Prof @Oxford Uni - interested in Computational Statistics, Generative Modeling, Monte Carlo methods, Optimal Transport.
@norabelrose.bsky.social
AI, philosophy, spirituality Head of interpretability research at EleutherAI, but posts are my own views, not Eleutherโs.
@saffron.bsky.social
how shall we live together? societal impacts researcher at Anthropic saffronhuang.com
@javiergonzalezh.bsky.social
Senior Principal Researcher @MSRCambridge. Working on reasoning in language models.
@dianarycai.bsky.social
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com
@hildekuehne.bsky.social
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/
@jeanremiking.bsky.social
Researcher in Neuroscience & AI CNRS, Ecole Normale Supรฉrieure, PSL currently detached to Meta
@klarakaleb.bsky.social
postdoc @oxfordstatistics.bsky.social working on (robust) LMs for @naturerecovery.bsky.social ๐ฑ prev PhD student @clopathlab.bsky.social ๐ง & AI resident @ Google X ๐ค
@altryne.bsky.social
Host @ ThursdAI.news pod AI Evangelist @ Weights & Biases CEO @ Targum.Video Opinions my own
@alexxthiery.bsky.social
Associate Prof. in ML & Statistics at NUS ๐ธ๐ฌ MonteCarlo methods, probabilistic models, Inverse Problems, Optimization https://alexxthiery.github.io/
@lauraruis.bsky.social
PhD supervised by Tim Rocktรคschel and Ed Grefenstette, part time at Cohere. Language and LLMs. Spent time at FAIR, Google, and NYU (with Brenden Lake). She/her.
@canaesseth.bsky.social
Assistant Professor of Machine Learning Generative AI, Uncertainty Quantification, AI4Science Amsterdam Machine Learning Lab, University of Amsterdam https://naesseth.github.io
@henrygo.uk
Assistant Professor (Lecturer) and RAEng Research Fellow at University of Edinburgh ๐ด๓ ง๓ ข๓ ณ๓ ฃ๓ ด๓ ฟ. Working on Verifiable AI. henrygouk.com
@guyvdb.bsky.social
๐ CS Prof at UCLA ๐ง Researching reasoning and learning in artificial intelligence: tactable deep generative models, probabilistic circuits, probabilistic programming, neurosymbolic AI https://web.cs.ucla.edu/~guyvdb/
@pergolagb.bsky.social
Assistant Professor in Natural Language Processing (NLP) at the University of Warwick, UK. Personal Webpage: https://warwick.ac.uk/fac/sci/dcs/people/u1898418/
@drfeifei.bsky.social
Prof (CS @Stanford), Co-Director @StanfordHAI, Cofounder/CEO @theworldlabs, CoFounder @ai4allorg #AI #computervision #robotics #AI-healthcare
@clefourrier.hf.co
Evals/Agents @HuggingFace - ๐๐ป๐โจ "The future is already here, itโs just not very evenly distributed" (Gibson) Most relevant current works: - Evals guidebook: github.com/huggingface/evaluation-guidebook - Agents bench: arxiv.org/abs/2311.12983
@rmcelreath.bsky.social
Anthropologist - Bayesian modeling - organic modem converting poetry into code - cat and cooking content too - Director @ MPI for evolutionary anthropology https://www.eva.mpg.de/ecology/staff/richard-mcelreath/
@laurenceai.bsky.social
Lecturer at the University of Bristol. probabilistic ML, optimisation, interpretability, LLM evals.
@gdalle.bsky.social
Researcher in machine learning and optimization. Open source enthusiast. Parody songwriter (aka PianoHamster). OCD survivor.
@lukezettlemoyer.bsky.social
Professor at UW; Researcher at Meta. LMs, NLP, ML. PNW life.
@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.
@tom4everitt.bsky.social
AGI safety researcher at Google DeepMind, leading causalincentives.com Personal website: tomeveritt.se
@deisenroth.bsky.social
Machine learning, environmental modeling, sustainability, robotics Professor @UCL He/him
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@adriencorenflos.bsky.social
Research Fellow at the university of Warwick. I compute integrals for a living. https://adriencorenflos.github.io/
@richtarik.bsky.social
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes ๐๐๏ธโโ๏ธ๐พ๐โท๏ธโธ๏ธ๐งโโ๏ธ๐คฟ๐น๐ธโ๏ธ๐๏ธ๐ทโ๏ธ๐๐ ๐ฅโ๏ธ
@hannes-stark.bsky.social
MIT PhD Student - ML for biomolecules - https://hannes-stark.com/
@scholzmx.bsky.social
PhD researcher, building infrastructure (and pokemon) for Bayesian workflows, simulating everything. Music, cooking, exercise enthusiast. http://fediscience.org/@scholzmx
@benburtenshaw.bsky.social
Building tools for AI datasets. ๐ฝ Looking in AI datasets. ๐ Sharing clean open AI datasets. ๐ป at https://bsky.app/profile/hf.co
@noahdgoodman.bsky.social
Professor of Natural and Artificial Intelligence @Stanford. Safety and alignment @GoogleDeepMind.
@schwarzjn.bsky.social
Foundational Research Lead @ Thomson Reuters | Advisor @ UK AISI | ex- Fellow @ Harvard, ex- Senior RS @ GoogleDeepMind | PhD @ UCL / Gatsby Unit ๐ฌ๐ง๐ฉ๐ช๐บ๐ฒ๐ญ๐ฐ https://jonathan-schwarz.github.io/
@brandonrohrer.com
Robotics and Reinforcement Learning tinkerer. brandonrohrer.com Wrangler of algorithms for Confluence @ Atlassian. Eater of bread. Sipper of whisky. Reports to a Shih Tzu.
@aaronschein.bsky.social
Assistant Professor of Statistics & Data Science at UChicago Topics: data-intensive social science, Bayesian statistics, causal inference, probabilistic ML Proud โgolden retrieverโ ๐ฆฎ