Pierre Nyquist
Assoc. prof. in mathematics at Chalmers/University of Gothenburg. Mainly probability, analysis and computational methods, but I like to visit most areas of mathematics. Elected member Young Academy of Sweden. Mostly here for the science, some for the jokes
@guanyangwang.bsky.social
Working on Monte Carlo and Markov chains. https://guanyangwang.github.io
@michaelchchoi.bsky.social
Applied probabilist. Probability, MCMC, optimization, information theory, TCS. https://mchchoi.github.io/
@mansmag.bsky.social
Associate professor in Statistics at Uppsala University. https://www.mansmagnusson.com/
@christianohm.bsky.social
@jonassjuul.bsky.social
Assistant Professor at the IT University of Copenhagen. Interested in networks, spreading processes, and data science.
@emilyqureshihurst.bsky.social
Philosopher of Religion and Science, University of Cambridge. Currently writing about Many-Worlds & theism. Author of 'Salvation in the Block Universe' (2024) & 'God, Salvation, and the Problem of Spacetime' (2022) https://www.emilyqureshihurst.com
@sebdarses.bsky.social
Math Assoc. Prof. at Aix-Marseille (France) Currently on Sabbatical at CRM-CNRS, Université de Montréal Teaching Project (non-profit): https://www.highkholle.fr/ https://sites.google.com/view/sebastien-darses/welcome
@jcornebise.bsky.social
Hon. Associate Professor UCL CS | Ex-Dir. Research AI for Good & Head of Element AI London Office | Ex-DeepMind. He/Him | https://cornebise.com
@chanda.bsky.social
Assoc. Prof.: Theoretical Cosmology and Particle Physics ⚛️ 🔭 & Black Feminist Science Studies 🧪 Writer 📚: #DisorderedCosmos #EdgeOfSpaceTime #CosmosIsABlackAesthetic Web: chanda.science all Black/all Jewish. queer/agender/woman. Posts by/for me🖖🏽
@teorth.bsky.social
Mathematician at UCLA. My primary social media account is https://mathstodon.xyz/@tao . I also have a blog at https://terrytao.wordpress.com/ and a home page at https://www.math.ucla.edu/~tao/
@economeager.bsky.social
Aspiring wastrel, applied econometrician. At http://rachaelmeager.com for bayes, dev econ and meta science. Also at http://rottenandgood.substack.com for writing, art, death and emotions. Gay academic nonbinary weirdo, cursed to be serious in life.
@jeffdean.bsky.social
Google Chief Scientist, Gemini Lead. Opinions stated here are my own, not those of Google. Gemini, TensorFlow, MapReduce, Bigtable, Spanner, ML things, ...
@kontoyiannis.bsky.social
Information theory, probability, statistics. Churchill Professor of Mathematics of Information @UofCambridge: dpmms.cam.ac.uk/person/ik355/ 🧮 #MathSky 🧪 #Science [used to be @yiannis_entropy at the other place]
@rafaelbailo.bsky.social
www.rafaelbailo.com Applied mathematician. Assistant professor at TUEindhoven. Previously in Oxford, Lille, Imperial College.
@adriencorenflos.bsky.social
Research Fellow at the university of Warwick. I compute integrals for a living. https://adriencorenflos.github.io/
@tommylofstedt.bsky.social
Docent, associate professor. Machine learning & computer vision. Umeå University, Sweden.
@jeffski.bsky.social
Professor of Statistics at the University of Toronto, Canada, and author of "Struck by Lightning". Info at: http://probability.ca
@cirm-math.bsky.social
CIRM is quite a unique place. At the heart of the Parc des Calanques, it is entirely dedicated to welcome researchers from around the world who meet here. www.cirm-math.fr
@nparikh.org
Teaching AI policy at Columbia (https://nparikh.org/sipa6545). Previously Director of AI for NYC. https://nparikh.org
@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.
@louissharrock.bsky.social
Postdoc in Statistical Machine Learning @ Lancaster Uni. Previously PhD @ Imperial College London, MA @ Cambridge Uni. Interested in computational statistics, probabilistic machine learning, optimisation. Website: https://louissharrock.github.io/
@stat110.bsky.social
Statistician at Harvard. Probability and paradoxes. Statistics and data science. Books and chess.
@darrenjw.bsky.social
Professor of Statistics, Bayesian, computational systems biologist and functional programmer, https://darrenjw.github.io/
@sherlockpholmes.bsky.social
Statistician,Mother,Prof,Grandmother(she/her)🇫🇷🇵🇹🇺🇸🧪. 🖋️with @wkhuber.bsky.social:Modern Statistics for Modern Biology (https://www.huber.embl.de/msmb/) #stats,#rstats.OSS,arXiv, microbial ecology,cytof,multi-omics,Bioconductor:phyloseq, DADA2
@devezer.bsky.social
Metascientist @ uidaho. I work at the intersection of behavioral sciences, statistics, and philosophy. Love thinking and talking about science. Post lots of cat and food pics. Allergic to advice.
@yulislavutsky.bsky.social
Stats Postdoc at Columbia, @bleilab.bsky.social Statistical ML, Generalization, Uncertainty, Empirical Bayes https://yulisl.github.io/
@jan-peters.bsky.social
#RobotLearning Professor (#MachineLearning #Robotics) at @ias-tudarmstadt.bsky.social of @tuda.bsky.social @dfki.bsky.social @hessianai.bsky.social
@ethanepperly.bsky.social
PhD candidate in applied math at Caltech interested in computational linear algebra he/him
@samuelvaiter.com
CNRS Researcher in maths & computer science. My (current) focus is machine learning and optimization. I live & work in Nice 🇫🇷 website: https://samuelvaiter.com
@thomasahle.bsky.social
Head of AI @ NormalComputing. Tweets on Math, AI, Chess, Probability, ML, Algorithms and Randomness. Author of tensorcookbook.com
@smnlssn.bsky.social
Associate Professor at Chalmers. AI for molecular simulation and inverse design. WASP Fellow. ELLIS Member. https://userpage.fu-berlin.de/solsson/
@gabrielpeyre.bsky.social
@lenaicchizat.bsky.social
Researcher in computational mathematics Theory of deep learning, optimal transport, optimization EPFL
@miniapeur.bsky.social
Gradient surfer at UCL. FR, EN, also trying ES. 🇹🇼🇨🇦🇬🇳🇺🇸🇩🇴🇫🇷🇪🇸🇬🇧🇿🇦. Also on Twitter.
@tdietterich.bsky.social
Safe and robust AI/ML, computational sustainability. Former President AAAI and IMLS. Distinguished Professor Emeritus, Oregon State University. https://web.engr.oregonstate.edu/~tgd/
@shubhendu.bsky.social
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
@bjoernstats.bsky.social
Biostatistician that keeps geese, chess CM, Kaggle master, one of the authors of Applied Modelling in Drug Development https://opensource.nibr.com/bamdd/
@thomas-pinder.bsky.social
Bayesian statistics, Gaussian processes, and all things ML. Senior Applied Scientist at Amazon and developer of GPJax.
@jorgefdcd.bsky.social
CNRS researcher working at the Institut de Physique Théorique (IPhT) in Paris-Saclay. Interested in statistical physics, machine learning, and biological data modeling. Website: https://sites.google.com/view/jorgefdcd
@scottalister.bsky.social
Random mathematician, New Orleans. Stochastic processes; microparticle movement; movement ecology; income inequality and economic mobility. Commonly afflicted by small sample sizes and time scales that don’t separate. http://stochastics-lab.net
@irashokar.bsky.social
Probabilistic deep learning for atmospheric dynamics, fluids and dynamical systems || PhD student in Applied Maths, University of Cambridge || UKRI CDT in AI for Environmental Risks || website: https://www.damtp.cam.ac.uk/user/is500
@aingrosso.bsky.social
Theoretical neuroscience, machine learning and spin glasses. Assistant professor at Donders Institute, Nijmegen, The Netherlands.
@neuralnoise.com
Researcher in ML/NLP at the University of Edinburgh (faculty at Informatics and EdinburghNLP), Co-Founder/CTO at www.miniml.ai, ELLIS (@ELLIS.eu) Scholar, Generative AI Lab (GAIL, https://gail.ed.ac.uk/) Fellow -- www.neuralnoise.com, he/they