Mathematician facing biomedical image processing challenges 💻🔬🧚♂️🦄
https://henriqueslab.org/pages/egdmariscal
@embo.bsky.social fellow at @henriqueslab.bsky.social @aiopticalbiolab.bsky.social
Former @arratemunoz.bsky.social @deniswirtz.bsky.social
Computer Vision and Learning research group @ LMU Munich, headed by Björn Ommer.
Generative Vision (Stable Diffusion, VQGAN) & Representation Learning
🌐 https://ommer-lab.com
Interests on bsky: ML research, applied math, and general mathematical and engineering miscellany. Also: Uncertainty, symmetry in ML, reliable deployment; applications in LLMs, computational chemistry/physics, and healthcare.
https://shubhendu-trivedi.org
HCI Prof at CMU HCII: thecoalalab.com
Research on:
- technologies to augment human thinking and learning
- participatory & responsible AI
- human-AI interaction
Bioinformatician interested in infection and immunity. Direct from sample sequencing for diagnostics. MMM group, NDM, Oxford University
GEODE Team Lead (Geometric Deep Learning)
3D vision researcher @NaverLabsEurope
Research Scientist | Naver Labs Europe | Prev.: Ph.D. Student @ valeo.ai & IRISA OBELIX | Interested in the intersection of computer vision and frugal learning.
Website: bjoernmichele.com
Research scientist at Naver Labs Europe. https://mbsariyildiz.github.io/
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/
AI and Games Researcher at NYU. Head of AI at Nof1.
Research Fellow at the University of Oxford | Multimodal ML PhD University of Amsterdam | Previously Microsoft Research, Google DeepMind, Bloomberg AI, Amazon Science, ETH, KU Leuven | MS AI, BS Computational Linguistics | WiML
mariyahendriksen.github.io
Professor of psychology. Study culture and societal change, wisdom, good judgment (and lack thereof), forecasting, and new methods. Forecasting Collaborative founder | 🇺🇦🇩🇪🇺🇸🇨🇦 Psych Inquiry Editor. igorgrossmann.com OnWisdompodcast.com
PhD student at Visual Recognition Group, Czech Technical University in Prague
weitong8591.github.io
AGI research @DeepMind.
Ex cofounder & CTO Vicarious AI (acqd by Alphabet),
Cofounder Numenta
Triply EE (BTech IIT-Mumbai, MS&PhD Stanford). #AGIComics
blog.dileeplearning.com
PhD (DPhil) student at University of Oxford | Reliable AI for medical image analysis | PR Officer for the MICCAI Student Board 2024
Information and updates about RLC 2026 at Montreal, Quebec, Canada, from August 16 to 19.
https://rl-conference.cc
How brain neural nets do computations; we aim to understand differences in brain wiring, using lasers and neuro-AI.
Lab head, NIH. Prev: media policy for democracypolicy.network. All views are my own.
linktr.ee/markhisted
neuro: 🧠 /🧪
Professor of Psychology & Human Values at Princeton | Cognitive scientist curious about technology, narratives, & epistemic (in)justice | They/She 🏳️🌈
www.crockettlab.org
Researching topics related to the media, artificial intelligence, and politics. Interested in structuring unstructured data for social science.
https://philinew.github.io/
PhD Student in MARL @UTCompSci | Student Researcher @GoogleDeepMind | ex @SonyAI_global @dukecompsci | https://carolinewang01.github.io/
PhD student at the University of Pennsylvania. Prev, intern at MSR, and Meta FAIR. Interested in reliable and replicable reinforcement learning, robotics and knowledge discovery: https://marcelhussing.github.io/
All posts are my own.
NLP faculty - University of Sydney
he/him
(this account is for professional topics only)
https://www.jkk.name
Cognitive neuroscience. Deep learning. PhD Student at Princeton Neuroscience with @cocoscilab.bsky.social and Cohen Lab.
Studying cognition in humans and machines https://scholar.google.com/citations?user=WCmrJoQAAAAJ&hl=en
The official account for the Computer Vision and Learning systems (CVL) at Linköping University, Sweden.
Computational materials chemist | Tenure-Track Assistant Professor at Aalborg University | Previously Imperial College London and Aarhus University
Assistant Professor at Bar-Ilan University
https://yanaiela.github.io/
Academic at King's College London, co-director of the King’s Institute for AI, director of research at the Open Data Institute. Working on the sociotechnicalities of data. Views my own.
The NIHR Oxford Biomedical Research Centre (BRC) is a collaboration between the University of Oxford and Oxford University Hospitals NHS Foundation Trust to fund medical research.
ML Engineer at NVIDIA. Previously: Stealth GPU startup; Stability AI; AMD; Autodesk; CEO of 2 startups (3D + AI). Toronto, Canada
W1 (Assistant) Professor of CS & Math at Goethe University Frankfurt.
AI x neuroscience.
🌊 https://www.gao-unit.com/
Researcher at appliedAI Institute for Europe.
Working on simulation-based inference and responsible ML
CS Ph.D. Candidate @ Northeastern | Interpretability + Data Science | BS/MS @ Brown
koyenapal.github.io
Prof at UniMelb. I'm a computational cognitive scientist studying human inference, learning, information systems, culture, and (mis/dis)info. Nerd & opinionated loudmouth in Oz, originally from America, citizen of both. Parent of two. 🏳️⚧️ perfors.net
@Harvard Professor & Director Ctr for Computation & Society
@HCRCS
@GoogleDeepMind
Principal Scientist & Director for AI for Social Good
#AIforSocialGood #AIforSocialImpact #AIforhealth #AIforConservation
True men don't kill coyotes
https://yakopov.me
Professor of Data Science @ University of Tübingen, Director of Hertie AI (www.hertie.ai) and Speaker of ML4Science (www.machinelearningforscience.de)
data science postdoc in Tübingen 🧬🖥️🧠 scRNA data analysis, UMAP/tSNE & retina neuroscience | science journalism on AI & sustainability 🤖❤️🌍 | easily sidetracked by small plot details & cool birds 📈🔍🦜
PhD student at Hertie AI / University of Tübingen
We improve early diagnosis of diseases of the nervous system and their prevention with the help of artificial intelligence. https://hertie.ai/
@University Tuebingen
ELSA is a growing Network of Excellence that spearheads efforts in foundational safe and secure AI methodology research.
elsa-ai.eu
Funded by the European Union.
PhD Student at Theis and Gagneur lab @TU Munich - Interested in ML, gene regulation and epigenetics 🧬. Previously Cambridge University and Heidelberg University. she/her
Research Scientist @Bioptimus. Previously at ETH Zürich, Max Planck Institute for Intelligent Systems, Google Research, EPFL, and RIKEN AIP.
aleximmer.github.io
AI Professor @UCIrvine | Formerly @blei_lab, @Princeton | #GenAI, #Compression, #AI4Science | General Chair @aistats_conf 2025 | AI Resident @ChanZuckerberg
PhD student at Aalto University 🇫🇮
Probabilistic ML, amortized inference.
See more at huangdaolang.com
Stats Postdoc at Columbia, @bleilab.bsky.social
Statistical ML, Generalization, Uncertainty, Empirical Bayes
https://yulisl.github.io/
ELLIS PhD Student @ JKU supervised by Sepp Hochreiter
Working on Predictive Uncertainty in ML
Lecturer (Assistant Prof) in Statistical Science at UCL.
Previously Postdoc @ Lancaster Uni, PhD @ Imperial College London, MA @ Cambridge Uni.
Interested in computational stats, probabilistic ML, optimisation.
Website: https://louissharrock.github.io/
Postdoctoral fellow @ University of Oslo (back home in 🏔️🇳🇴🏔️), Bayesian stats (high-dimensional, nonparametric, ML), biostatistics, computation. Previously @ MRC Biostatistics Unit, University of Cambridge 🇬🇧
Associate Prof @ LMU Munich
PI @ Munich Center for Machine Learning
Ellis Member
Associate Fellow @ relAI
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https://davidruegamer.github.io/ | https://www.muniq.ai/
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BNNs, UQ in DL, DL Theory (Overparam, Implicit Bias, Optim), Sparsity
Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org
AI Professor and Founding Director @ https://cair.uia.no | Chair of Technical Steering Committee @ https://www.literal-labs.ai | Book: https://tsetlinmachine.org
Group Leader, Generative AI | NeurIPS 2024 Program Chair | Principal Scientist & Director | Founder of Amsterdam AI Solutions
PhD student at TU Berlin, working on generative models and inverse problems
he/him
💡 PhD candidate @ Heidelberg University.
🌱 AI for science - simulation-based inference, robust deep learning & cognitive modeling.
Machine Learning PhD Student
@ Blei Lab & Columbia University.
Working on probabilistic ML | uncertainty quantification | LLM interpretability.
Excited about everything ML, AI and engineering!
Postdoc at the University of Edinburgh working on Machine Learning. Previously in Saarbrücken, Tübingen, and Murcia.
🌐 adrianjav.github.io
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs.
https://willieneis.github.io
Assistant Professor in Mathematical Statistics and Statistical Learning at the University of Twente. https://riannedeheide.github.io
Contralto, professional horn player, percussionist, wannabe long-distance runner, mother.
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
Researcher in Bayesian machine learning
Professor of Machine Learning and Inference, Edinburgh Informatics, Formerly Amazon Scholar. Opinions are my own. Also https://homepages.inf.ed.ac.uk/imurray2/ and https://mastodon.social/@imurray and https://x.com/driainmurray
Research scientist at FAIR NY ❤️ LLMs + Information Theory. Previously, PhD at UoAmsterdam, intern at DeepMind + MSRC.
HIIT Postdoctoral Fellow at the University of Helsinki 🇫🇮
Previously in Edinburgh, Lille and Madrid.
Working on Bayesian inference for state-space models, and Bayesian experimental design.
https://sarapv.github.io/
🇮🇹 ProbAI Research Fellow @warwickstats.bsky.social. Previously @ellis.eu Stats PhD @edinunimaths.bsky.social @aalto.fi. 🤔💭 about Monte Carlo, approximate inference, UQ
Associate Professor of Statistics and Data Science at Cornell University.
https://www.danielrkowal.com/
Assistant Professor, CS at UCF | Uncertainty Quantification
https://alisiahkoohi.github.io/
PhD student in the Machine Learning Group, Cambridge.
Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
Research Scientist @GoogleDeepMind | Organiser @DeepIndaba | Machine Learning PhD @CambridgeMLG | 🇿🇦
PhD in Deep Learning at Cambridge. Previously Microsoft Research AI resident & researcher at Qualcomm. I want to find the key to generalisation.
Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
Senior Research Scientist at Google DeepMind. AGI Alignment researcher. Views my dog's.
Assistant Professor of Statistics & Data Science at UChicago
Topics: data-intensive social science, Bayesian statistics, causal inference, probabilistic ML
Proud “golden retriever” 🦮
Machine Learning Researcher
https://alexalemi.com
https://blog.alexalemi.com
ELLIS PhD student at the University of Edinburgh
https://lenazellinger.github.io/
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
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.
Prof of machine learning at University of Helsinki. Interested in (differential) privacy and open source software.
The 2025 Conference on Language Modeling will take place at the Palais des Congrès in Montreal, Canada from October 7-10, 2025
data/ml/ai @ runway in 🗽
formerly spent time in startups, biggish tech, and physics labs
www.ethanrosenthal.com
The Causality in Healthcare AI Hub (CHAI). Where next-gen AI is developed addressing societal needs on real data.
GeoAI, Climate, Remote Sensing, Generative AI and more!
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.
Human–computer interaction researcher. PhD from University of Minnesota. Tacoma, WA. Mastodon: zwlevonian@hci.social
Researching {science of AI-mediated science, metascience #SciSci, #AI4Science, #GenAI, LLMs, agents, alignment, governance, misinformation in science}
PhD @ UW.
Visiting @ NYU & MSR
Alum @ Carnegie Mellon
Academic webpage: https://samemon.github.io
AI + security at AISLE | Stanford PhD in AI & Cambridge physics | scientific progress
Melanoma oncology @Stanford. Study hereditary genetics and irAEs. LA explant in SF via Ohio State, NIH/NHGRI, Harbor UCLA, and Cleveland Clinic. Sports fan, geek and mom. APD Hem/Onc fellowship. ASPirE founder, Checkpoint Now. COI http://bit.ly/43UCDOz
Associate professor @Penn_State | PhD @UofWaterloo | postdoc @SCSatCMU.
AI/CS/Econ.
Teaching machines to behave socially & #sapiens to behave optimally!
AI scientist, roboticist, farmer, and political economist. Governments structure markets. IP is theft.
https://advanced-eschatonics.com
https://unireps.org
Discover why, when and how distinct learning processes yield similar representations, and the degree to which these can be unified.
Founder @ ??? Ex-Machine Learning Engineer @ FAANG. Researched DeepRL+Affective Computing @usc
charts and graphs
follow me on twitter https://twitter.com/norvid_studies
It is said that there may be seeming disorder and yet no real disorder at all
