Research scientist, Inria. Statistical machine learning.
PhD in Deep Learning at Cambridge. Previously Microsoft Research AI resident & researcher at Qualcomm. I want to find the key to generalisation.
Postdoc in Bayesian machine learning at the Technical University of Denmark. I used to think a lot about the universe.
PhD student in the Machine Learning Group, Cambridge.
Researcher in Bayesian machine learning
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.
PhD student at TU Berlin, working on generative models and inverse problems
he/him
Working on #SelfDrivingLabs at the Acceleration Consortium @ UofT. Former employee at dsm-firmenich working on self-driving labs for food applications. Interested in systems biology, microbial communities, ML/AI, software development, product management.
Official account for the ArviZ project. We provide #FOSS tools for exploratory analysis of #Bayesian models in #Python and #JuliaLang
www.arviz.org
Machine Learning PhD Student at CMU | Student Researcher at Google | dsam99.github.io
Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU)
https://frellsen.org
Data Scientist. Voice of Reason. Dad of synesthetic composer Jacqueline Cordes jacquelinecordes.com
Chess, Poker, and Physics
phd student working on bayesian methods in bioimage analysis; @fz-juelich.de, @hds_lee & @lmu.de; bsc+msc in comp sci @univie.ac.at; based in karlsruhe; ripaul.github.io
Navigating life with smiles, skills, and an eye on better.
UD prof, inventor, app developer, entrepreneur.
https://causact.com
https://persuasivepython.com
https://emergencyhealthfix.com
Machine Learning tools for neuroscience @mackelab.bsky.social.
Community-maintained simulation-based inference (SBI) toolkit in PyTorch:
• NPE, NLE & NRE
• amortized and sequential inference
• wide range of diagnostics
Posts written by @deismic.bsky.social & @janboelts.bsky.social.
🔗 https://github.com/sbi-dev/sbi
Founder, President & Chief Scientist @PrunaAI | Prev. @Twitter research, Ph.D. in ML @TU_Muenchen
Doctoral researcher at Helmholtz AI supervised by Vincent Fortuin. University of Cambridge engineering graduate. Probabilistic machine learning.
sheev13.github.io
Probabilistic Programming and Bayesian Modeling in Python
The Bayesian AI Consultancy • Using PyMC to solve your most challenging data science problems • http://pymc-labs.com
“Machines take me by surprise with great frequency” A. M. T.
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
Postdoctoral fellow @ University of Oslo (back home in 🏔️🇳🇴🏔️), Bayesian stats (high-dimensional, nonparametric, ML), biostatistics, computation. Previously @ MRC Biostatistics Unit, University of Cambridge 🇬🇧
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/
Assistant Professor at the university of Warwick.
I compute integrals for a living.
https://adriencorenflos.github.io/
PhD Student in Machine Learning at CMU. yewonbyun.github.io
PhD-ing at CUHK-Shenzhen. Building evolutionary coding agents at Dria. #AI4Science community leader at alphaXiv
richardcsuwandi.github.io
(Tab)PFNs, TrivialAugment etc.
Using Machine Learning for Matter Research @helmholtzai.bsky.social
"The idea of an environment scarcely makes any sense since you can never draw a boundary line that would distinguish an organism from what surrounds it." - Bruno Latour
Doing Bayesian stuff in #rustlang and #julialang. Seattle
Computational Statistics and Machine Learning (CSML) Lab | PI: Massimiliano Pontil | Webpage: csml.iit.it | Active research lines: Learning theory, ML for dynamical systems, ML for science, and optimization.
ELLIS PhD Student @ JKU supervised by Sepp Hochreiter
Working on Predictive Uncertainty in ML
PhD student, University of Helsinki
Working on Bayesian computation
https://pipme.github.io/
Stats Postdoc at Columbia, @bleilab.bsky.social
Statistical ML, Generalization, Uncertainty, Empirical Bayes
https://yulisl.github.io/
machine learning, causal inference, science of llm, ai safety, phd student @bleilab, keen bean
https://www.claudiashi.com/
PhD student at Aalto University 🇫🇮
Probabilistic ML, amortized inference.
See more at huangdaolang.com
AI Professor @UCIrvine | Formerly @blei_lab, @Princeton | #GenAI, #Compression, #AI4Science | General Chair @aistats_conf 2025 | AI Resident @ChanZuckerberg
Research Scientist @Bioptimus. Previously at ETH Zürich, Max Planck Institute for Intelligent Systems, Google Research, EPFL, and RIKEN AIP.
aleximmer.github.io
PhD candidate @ University of Edinburgh
Bayesian Stats | Machine Learning | Uncertainty Quantification | ML4Science | Scientific Imaging
https://teresa-klatzer.github.io/
jax posting
https://lockwo.github.io/
A team of #QuantumErrorCorrection (QEC) experts, helping quantum computers scale and tackle errors across qubit types 🧪
www.riverlane.com
Arch mage of quantumancy @ riverlane / Prof @ Sheffield uni / quantum error correction and algorithms / poster of posts / reader of sci-fi / player of games / father of daughters / cronic typer of typoes & requester of edit buttons
Was @danbrowne77 on Twitter. Got here early enough to drop the 77. Also here as @profdanbrowne.bsky.social
PhD student interested in quantum error correction and quantum fault-tolerance
Theoretical ski bum. Former pseudo professor. Quantum bridge builder. Will math for food.
mastodon: @dabacon@tachyon.channel
https://dabacon.org
PhD student in Quantum Computing, Quantum Error Correction at INRIA, Alice&Bob
Quantum computing researcher in superconducting qubits and error correction
Director, Hardware at Google Quantum AI (opinions expressed are my own)
Physics PhD, UCSB
Research Scientist at Google Quantum AI working on quantum error correction
PhD Student @ University of Edinburgh, part-time QEC & Software @ Riverlane. Views my own etc
Ph.D. in QEC @ Duke University. Built github.com/planqtn for quantum LEGO. Xoogler at Google Quantum AI. Previously software engineer/craftsman for 15 years.
Scientist working in the field of computational quantum chemistry and physics. More recently, I’ve started exploring quantum computation for electronic structure calculations.
Researcher in Quantum Error Correction
Quantum error correction scientist. Working to implement deeper algorithms on quantum computers via algorithmic cooling.
Quantum Error Correction | Quantum Software Lab | University of Edinburgh
Homepage: https://roffe.eu
Research Scientist at Google Quantum AI focused on quantum error correction
Quantum error correction, fault tolerance, and benchmarking researcher, views are my own (I think).
Engineer, Physicist, Father, Son, Person.
More info at https://marcusps.github.io/
On the fediverse I am @themarcusps at tiny.sengis.net
Associate Professor at Cornell University
quantum Shannon theory, quantum information theory, quantum error correction, quantum communication, quantum algorithms, quantum computational complexity theory, quantum machine learning
PhD student working in quantum error-correction at IQC & Perimeter Institute, Waterloo.
Working on quantum error correction. Interested in maths, coding and spaced repetition. PhD student at Freie Universität Berlin.
Quantum info PhD student @ Cambridge University | Error correction and topological matter | Previously @ USyd
PhD student working in quantum error correction
Research scientist at IBM. Former PhD student at ETH Zurich, postdoc at Inria Paris. Doing things in quantum info theory, computing and error correction.
Research Scientist at Google Quantum AI. Working on experimental quantum error correction with superconducting circuits.
Quantum Computing PhD student @ Imperial College London looking at Quantum Error Correction | Previously @ Yonsei, UCD
PhD student in quantum error correction at UCL
PhD student at University of Queensland. Quantum Optics - error correction - communication.
PhD student at Yale University
Quantum Error Correction/Quantum Information Theory
BA Cambridge / MMath Waterloo
Quantum. Virginia Tech and Phasecraft.
Adiabatic and Ecstatic
QEC @ qc.design | Formerly TUM Phyics and latticesurgery.com
Quantum physicist with far too many interests. Currently a QEC PhD student @ NQCP, Copenhagen.
✞
Quantum computing at JPMorganChase. QEC or bust. Opinions my own.
QEC researcher at IQM Germany
Tensor Networks & QEC @ Eviden
Quantum computing, quantum algorithms, Scientist @ Riverlane.
Staff quantum scientist at Riverlane. Quantum computing, QMC and electronic structure theory.
Quantum Scientist at RiverLane
PhD from IQC, Waterloo.
Forever looking for answers.
Usually psyched about music and rockets.
Traumatized by NVIDIA drivers.
PhD student in Quantum Engineering @ University of Bristol & Quantum Scientist @ Riverlane
Postdoctoral research associate in the quantum theory group at the University of Sydney
PhD student @ USTC. I expect to graduate in 2026 and am looking for a postdoc or research position on fault-tolerant quantum computation.
Postdoctoral researcher @ CIIRC, CTU, Prague working in vision & language. Also robotics noob. PhD from University of Bristol. Ex. Samsung Research (SAIC-C). I love coffee and plants. And socks. 𖤓꩜𓆉𓃰𖤐
Lead dev of SciML org, VP of Modeling and Simulation @JuliaHub, Director of Scientific Research @PumasAI, and Research Staff
@mit_csail. #julialang #sciml
Innovating the future, one robot at a time! 🤖 Discover more at ieee-ras.org.
Computer vision PhD student from Prague.
https://klarajanouskova.github.io/
PhD student @Yale studying Algorithms and Machine Learning
http://felix-zhou.com
I play with intuitions and data.
Now: @jhuclsp @jhucompsci
Past: @allen_ai @uwnlp @Penn @cogcomp @Illinois_Alma @MSFTResearch
Head of Generative Intelligence Lab @cispa.de
We teach AI how to see and model the visual world
DFG #EmmyNoether AI Fellow
Previously @mpi-inf.mpg.de @uni-freiburg.de @jhu.edu @unibas.ch
https://genintel.mpi-inf.mpg.de
Machine learning @jhucompsci.bsky.social
Research Faculty at John’s Hopkins University. Focused on Multilingual NLP, Machine Translation, Low-Resource, Multimodal (videos)
Computer Science at Johns Hopkins University
Center for Language and Speech Processing
ML researcher, teacher, professor, Dad, Irish, ...
I'm a theoretical physicist at Durham University
UX Strategy: Apple System 7, Newton, & Apple HI guidelines. UX Director Symbian, managed Mobile UX at Google, creative director frog design SF. Head of Product for two startups. Google Physical Web + Android UX research. Semi-retired
Staff Scientist at QCWare //
Quantum machine learning //
Quantum computing
