Matti Vihola
Professor of Statistics, University of Jyväskylä. Computational statistics, applied probability, Monte Carlo methods, Bayesian inference.
https://iki.fi/mvihola/
@typst.app
Compose papers faster: Focus on your text and let Typst take care of layout and formatting.
@lrlaurahy.bsky.social
Professor in Computer Science @helsinkiuni.bsky.social Lead of AI and sustainability at the Finnish Center for AI (FCAI)
@themaklin.bsky.social
I do statistics, bacterial (meta)genomics and bioinformatics software development.
@jyuscience.bsky.social
Faculty search for answers and strive to improve our understanding of the universe and the world around us.
@petriraivio.bsky.social
Journalist at Finland’s national broadcaster YLE in Helsinki. Töissä ohjelmassa #yleastudio. Tietokirja: Pitkät jäähyväiset. Edustan itseäni.
@professoriliitto.bsky.social
Professoriliitto toimii professorikunnan työmarkkinajärjestönä ja ammatillisena yhdyssiteenä. Liitto korostaa tieteellisen tutkimustyön ja siihen perustuvan ylimmän opetuksen merkitystä sekä vaalii tiedeyhteisön ja muun yhteiskunnan vuorovaikutusta.
@shivamnadimpalli.bsky.social
CS Theory postdoc at MIT (https://math.mit.edu/~shivamn)
@frigessi.bsky.social
Statistics and Machine Learning, AI for a better world, academics, opinions with a colour.
@michaelchchoi.bsky.social
Applied probabilist. Probability, MCMC, optimization, information theory, TCS. https://mchchoi.github.io/
@canssi-incass.bsky.social
CANSSI supports training initiatives and interdisciplinary research collaborations led by members of Canada's statistical sciences community. We are funded by NSERC and member universities from across Canada and hosted at Simon Fraser University.
@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
@ellisinstitute.fi
A world-class research hub in AI and machine learning, in partnership with universities, RDI organizations and businesses in Finland. We are the 2nd institute in the @ellis.eu network. 🔗 ellisinstitute.fi
@tek.fi
Tekniikan akateemiset TEK on diplomi-insinöörien, arkkitehtien ja vastaavan yliopistokoulutuksen saaneiden etu- ja ammattijärjestö. www.tek.fi
@univhelsinkics.bsky.social
Architects of the digital world since 1967 | A leading CS teaching and research unit in the Nordics | #ComputerScience and #DataScience
@uusijuttu.fi
Uusi Juttu on media uteliaille ja aikaansa seuraaville demokratian ystäville. Poimimme puolestasi olennaisen informaatiotulvasta: emme vain kerro, mitä on tapahtunut, vaan myös sen miksi. Liity jäseneksi uusijuttu.fi!
@rflamary.bsky.social
ML Professor at École Polytechnique. Python open source developer. Co-creator/maintainer of POT, SKADA. https://remi.flamary.com/
@tiago.skewed.de
Statistical mechanic, secular Bayesian. Prof. of Complex Systems and Network Science @ IT:U, Austria Head of the “Inverse Complexity Lab”. @invcomplexity.skewed.de https://skewed.de/lab
@moleitaomath.bsky.social
Georgia Tech Prof; Tsinghua (Math+Phys), Caltech (Control & Dynamical Systems), NYU Courant (Applied & Computational Math) * deep learning theory * (diffusion) generative model, probabilistic machine learning * AI4Science
@jonathancm.bsky.social
Mathematician, Applied Mathematician, Probablist, & Stochastic Analysis: SPDEs, Stochastic algorithms and numerics, mathematical biology, and Gerrymandering and Algorthmic Fairness. See Also: Urbanism, Food, Soccer and Durhamite.
@jsiljanderfin.bsky.social
Tutkijatohtori, Imperial College London, rahoitus, makro, työmarkkinat. PhD (taloustiede), TkT (mat.).
@mansmag.bsky.social
Associate professor in Statistics at Uppsala University. https://www.mansmagnusson.com/
@jarkk0.bsky.social
Linux kernel developer and maintainer etc. W: https://social.kernel.org/jarkko OpenPGP: 3AB05486C7752FE1
@julyanarbel.bsky.social
On a quest to make AI safe with Bayes. Researcher at Inria. Prev: Polytechnique, ENSAE Paris, Insee, Paris-Dauphine, Collegio Carlo Alberto, Bocconi. https://www.julyanarbel.com/ https://www.linkedin.com/in/julyanarbel/
@teresa-klatzer.bsky.social
PhD candidate @ University of Edinburgh Bayesian Stats | Machine Learning | Uncertainty Quantification | ML4Science | Scientific Imaging https://teresa-klatzer.github.io/
@chris-nemeth.bsky.social
Professor in Probabilistic Machine Learning @ Lancaster University. Homepage: https://chris-nemeth.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.
@mtamborrino.bsky.social
Reader in Statistics at the University of Warwick | Inference for Stochastic processes | Simulation-based inference| Stochastic Numerics | Parallel-in-time numerical methods| Stochastic Modelling | Neuroscience | www.warwick.ac.uk/tamborrino
@rebaudogiovanni.bsky.social
Assistant Professor of Statistics @economicsunito.bsky.social University of Torino and Collegio Carlo Alberto Affiliate. He/him.
@yulislavutsky.bsky.social
Stats Postdoc at Columbia, @bleilab.bsky.social Statistical ML, Generalization, Uncertainty, Empirical Bayes https://yulisl.github.io/
@abrowncu.bsky.social
Associate Professor of Statistics Mathematical and Statistical Sciences Clemson University (Clemson, SC, USA) Georgia Tech and UGA alum Atlanta Falcons fan, unfortunately Opinions are mine dandrewbrown.com www.linkedin.com/in/d-andrew-brown-b3318a24a
@tychovdo.bsky.social
Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
@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
@joanbruna.bsky.social
Professor of Computer Science, Data Science and Mathematics (aff), Courant Institute of Mathematical Sciences and Center for Data Science, New York University. Visiting Scholar at Flatiron Institute.
@sulinliu.bsky.social
Postdoc at MIT. Generative models, inference, AI for science. Prev: Princeton, Meta, NUS. liusulin.github.io
@andymiketom.bsky.social
Assistant professor, University of Iowa. Stochastic topology, TDA, statistics and imaging. Borel measurable, PhD. Opinions expressed are solely my own.
@ltronneberg.bsky.social
Postdoctoral fellow @ University of Oslo (back home in 🏔️🇳🇴🏔️), Bayesian stats (high-dimensional, nonparametric, ML), biostatistics, computation. Previously @ MRC Biostatistics Unit, University of Cambridge 🇬🇧
@richardcsuwandi.bsky.social
PhD Student @ CUHK-Shenzhen | LLMs, BayesOpt, probabilistic ML https://richardcsuwandi.github.io
@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]
@erpel.bsky.social
phd student working on bayesian methods in bioimage analysis; @fz-juelich.de, @hds_lee & @lmumuenchen.bsky.social; bsc+msc in comp sci @univie.ac.at; based in karlsruhe; ripaul.github.io
@jesfrellsen.bsky.social
Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU) https://frellsen.org
@nelsontang.com
Data Scientist (Forecasting) @NVIDIA. Interested in Bayesian stats, causal inference, and decisions. Also dad, OEF vet, and ski/mountain enjoyer. I blog (throw bricks into the wind) @ www.nelsontang.com
@sperez-vieites.bsky.social
Postdoctoral researcher at Aalto University and FCAI, Helsinki 🇫🇮 Previously in Edinburgh, Lille and Madrid. Working on Bayesian inference for state-space models, and Bayesian experimental design. https://sarapv.github.io/
@dan-kowal.bsky.social
Associate Professor of Statistics and Data Science at Cornell University. https://www.danielrkowal.com/
@pamattei.bsky.social
Research scientist, Inria. Statistical machine learning.
@mvdw.bsky.social
Associate Professor in Machine Learning at the University of Oxford. Interested in automatic inductive bias selection using Bayesian tools.