Chandler Squires
CMU postdoc, previously MIT PhD. Causality, pragmatism, representation learning, and AI for biology / science more broadly. Proud rat dad.
@raziehnabi.bsky.social
Rollins Assistant Professor of Biostatistics @EmoryRollins, PhD @JHU.edu Interested in causal inference, missing data, machine learning, algorithmic fairness, non/semiparametrics, graphical models, etc raziehnabi.com
@neuroai.bsky.social
Principal Researcher @ Microsoft Research. Cognitive computational neuroscience & AI. Writer. Nature wanderer. www.momen-nejad.org
@pausalz.bsky.social
Paul Zivich, Assistant (to the Regional) Professor Computational epidemiologist, causal inference researcher, amateur mycologist, and open-source enthusiast. https://github.com/pzivich #epidemiology #statistics #python #episky #causalsky
@akomandml.bsky.social
CS PhD student @UArkansas EECS interested in causality, generative modeling, and applications in trustworthy AI Website: akomand.github.io LinkedIn: https://www.linkedin.com/in/akomand
@awlevis.bsky.social
Postdoc @ CMU Statistics & Data Science www.awlevis.com interests: causal inference, distribution shift, machine learning, non/semiparametrics, w/ applications in EHR data & beyond
@taco-cohen.bsky.social
Deep learner at FAIR. Into codegen, RL, equivariance, generative models. Spent time at Qualcomm, Scyfer (acquired), UvA, Deepmind, OpenAI.
@codyroux.bsky.social
Still ultrafinitist, but with a softer side. https://www.kleene.church/ I do the Church of Logic podcast. https://open.spotify.com/show/6vEh6ZpQr1Eoeoz8TbsMKx?si=3-hd-mv3ShGe2LFij4MCIQ
@adam-elmachtoub.bsky.social
Professor at Columbia University, miserable fan of the Nets and Jets, looking for good doughnuts
@mtoneva.bsky.social
Faculty at the Max Planck Institute for Software Systems, working at the intersection of ML, language models, and cognitive neuroscience. Yogurt snob. https://mtoneva.com/
@nick11roberts.bsky.social
Ph.D. student at UW-Madison. Working on automating foundation model guided science. Previously at CMU, UCSD, Fresno City College. https://nick11roberts.science
@juand-r.bsky.social
CS PhD student at UT Austin in #NLP Interested in language, reasoning, semantics and cognitive science. One day we'll have more efficient, interpretable and robust models! Other interests: math, philosophy, cinema https://www.juandiego-rodriguez.com/
@yfelekis.bsky.social
PhD student in Machine Learning and Causality @ University of Warwick | Enrichment student @ The Alan Turing Institute | These days thinking about Causal Abstractions, Optimal Transport, Information Theory, and Emergence. Website: yfelekis.github.io
@andrejristeski.bsky.social
Machine learning researcher. Professor in ML department at CMU.
@donskerclass.bsky.social
Econometrics, Statistics, Computational Economics, etc 🏳️⚧️ http://donskerclass.github.io
@aaroth.bsky.social
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
@cottascience.bsky.social
Postdoc fellow at Vector Institute; Machine Learning & Causal Inference; From BH🔺🇧🇷 in TO 🇨🇦 http://cottascience.github.io
@alexluedtke.bsky.social
associate professor of statistics @uw • causal inference, machine learning, nonparametrics alexluedtke.com
@dhadfieldmenell.bsky.social
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/
@stephmilani.bsky.social
PhD Student in Machine Learning at CMU. On the academic job market! 🐦 twitter.com/steph_milani 🌐 stephmilani.github.io
@simondedeo.bsky.social
Cognitive scientist at Carnegie Mellon University and External Faculty at the Santa Fe Institute. http://santafe.edu/~simon
@arxiv-math-st.bsky.social
Mathematics -- Statistics Theory (math.ST) source: https://export.arxiv.org/rss/math.ST maintainer: @tmaehara.bsky.social
@idiaz.bsky.social
Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation. https://idiazst.github.io/website/
@kallus.bsky.social
🏳️🌈👨👨👧👦 interested in causal inference, experimentation, optimization, RL, statML, econML, fairness Cornell & Netflix www.nathankallus.com
@vveitch.bsky.social
machine learning and artificial intelligence | University of Chicago / Google
@dagophile.bsky.social
Interested in all things causal modeling. Ongoing projects on causal analyses of discrimination and on causation in dynamical systems.
@alisongopnik.bsky.social
Cognitive scientist, philosopher, and psychologist at Berkeley, author of The Scientist in the Crib, The Philosophical Baby and The Gardener and the Carpenter and grandmother of six.
@jakobrunge.bsky.social
Professor of AI in the Sciences at University of Potsdam // causalinferencelab.com
@pacbio.bsky.social
Our mission is to enable the promise of genomics to better human health by creating the world’s most advanced sequencing technologies.
@geneontology.bsky.social
The Gene Ontology (GO, geneontology.org) knowledgebase is the world’s largest source of information on gene function. Our mission is to develop a comprehensive, computational model of biological systems, ranging from the molecular to organism level.
@ratgenome.bsky.social
The Rat Genome Database (RGD) was established in 1999 and rapidly became the premier site for genetic, genomic, phenotype, and disease-related data generated from rat research.
@reactome.org
Reactome is an open source curated pathway database that provides pathway and network analysis tools for life science researchers.
@johannbrehmer.bsky.social
Machine learner & physicist. At CuspAI, I teach machines to discover materials for carbon capture. Previously Qualcomm AI Research, NYU, Heidelberg U.
@bunnech.bsky.social
Assistant Professor at @EPFL in Computer Science and Life Sciences. PostDoc at @Genentech and @Stanford. PhD at @ETH and @BroadInstitute. www.aimm.epfl.ch
@mschrimpf.bsky.social
NeuroAI Prof @EPFL 🇨🇭. ML + Neuro 🤖🧠. Brain-Score, CORnet, Vision, Language. Previously: PhD @MIT, ML @Salesforce, Neuro @HarvardMed, & co-founder @Integreat. go.epfl.ch/NeuroAI
@sulinliu.bsky.social
Postdoc at MIT. Generative models, inference, AI for science. Prev: Princeton, Meta, NUS. liusulin.github.io
@compthink.bsky.social
Assoc Prof @UWaterloo See you at #neurips24 Research: #ArtificialIntelligence #MachineLearning #ReinforcementLearning #casual-learning, dimensionality reduction, #ethicalAI #aimorality #aialignment Domains: wildfires, driving, medical, video games
@mmbronstein.bsky.social
DeepMind Professor of AI @Oxford Scientific Director @Aithyra Chief Scientist @VantAI ML Lead @ProjectCETI geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
@gaelvaroquaux.bsky.social
Research & code: Research director @inria ►Data, Health, & Computer science ►Python coder, (co)founder of scikit-learn, joblib, & @probabl.bsky.social ►Sometimes does art photography ►Physics PhD
@kordinglab.bsky.social
@Penn Prof, deep learning, brains, #causality, rigor, http://neuromatch.io, Transdisciplinary optimist, Dad, Loves outdoors, 🦖 , c4r.io
@gustafjt.bsky.social
@danruxu.bsky.social
PhD student in the INtelligent Data Engineering lab at the University of Amsterdam, working in multimodal #causal #representation learning. https://danrux.github.io/
@arminkekic.bsky.social
PhD Student Machine Learning & Causality with Bernhard Schölkopf at Max Planck Institute for Intelligent Systems // Prev.: Applied Science at Zalando, MSc Maths at Oxford, BSc Physics at Heidelberg arminkekic.com