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The Department of Electrical and Electronic Engineering at Imperial College London.
#OurImperial
Shaping the future of programming @tessl.io 🚀 | ex-@TwitterCortex @Birdwatch 💙 | PhD in probabilistic machine learning, loyal servant to a cat, collector of random variables, and lover of well-placed puns.
https://mgorinova.github.io/
Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. Working on probabilistic machine learning.
Associate Professor of Machine Learning, University of Oxford;
OATML Group Leader;
Director of Research at the UK government's AI Safety Institute (formerly UK Taskforce on Frontier AI)
🇮🇹 ProbAI Research Fellow @warwickstats.bsky.social. Previously @ellis.eu Stats PhD @edinunimaths.bsky.social @aalto.fi. 🤔💭 about Monte Carlo, approximate inference, UQ
Machine Learning PhD Student
@ Blei Lab & Columbia University.
Working on probabilistic ML | uncertainty quantification | LLM interpretability.
Excited about everything ML, AI and engineering!
Bayesian statistics, Gaussian processes, and all things ML. Senior Applied Scientist at Amazon and developer of GPJax.
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/
Professor for AI/ML Methods in Tübingen. Posts about Probabilistic Numerics, Bayesian ML, AI for Science. Computations are data, Algorithms make assumptions.
Statistician, Associate Professor (Lektor) at University of Gothenburg and Chalmers; inference and conditional distributions for anything
https://mschauer.github.io
http://orcid.org/0000-0003-3310-7915
[ˈmoː/r/ɪts ˈʃaʊ̯ɐ]
Professor of Statistics @ ESSEC Business School Asia-Pacific campus Singapore 🇸🇬
https://pierrealquier.github.io/
Previously: RIKEN AIP 🇯🇵 ENSAE Paris 🇫🇷 🇪🇺 UCD Dublin 🇮🇪 🇪🇺
Random posts about stats/maths/ML/AI, poor jokes & birds photo 🌈
Assistant Professor, CS at UCF | Uncertainty Quantification
https://alisiahkoohi.github.io/
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity. https://glouppe.github.io
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
Postdoc at MIT. Generative models, inference, AI for science. Prev: Princeton, Meta, NUS. liusulin.github.io
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 | 🇿🇦
Associate Professor of Statistics and Data Science at Cornell University.
https://www.danielrkowal.com/
Assistant Professor of Statistics & Data Science at UChicago
Topics: data-intensive social science, Bayesian statistics, causal inference, probabilistic ML
Proud “golden retriever” 🦮
Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems.
🔗 https://www.cs.columbia.edu/~blei/
🔗 https://github.com/blei-lab
Visiting Researcher @NYU Courant, CILVR.
PhD student @TU Denmark, MLLS(https://mlls.dk).
Probabilistic ML/DL. Nth order Markovian. Support Manifolds and latents.
Previously intern @SonyAI in deep generative modelling.
web: http://uppalanshuk.github.io
PhD student @universitedeliege.bsky.social with @glouppe.bsky.social. @frsFNRS research fellow. Focuses on AI for scientific discoveries 🤖
💡 PhD candidate @ Heidelberg University.
🌱 AI for science - simulation-based inference, robust deep learning & cognitive modeling.
Academy Research Fellow at the Dept. of Computer Science, Aalto University, Finland. Affiliated with the Finnish Center for Artificial Intelligence.
Website: http://bharti-ayush.github.io
Stats, ML and open-source
Postdoctoral Research Scientist in Statistics at Columbia University
PhD candidate @CarnegieMellon / ex @MartinosCenter
interested in bridging the gap between machine learning academia and clinical practice; uncertainty quantification / explainable AI
PhD Candidate Mila/University of Montreal | Intern at Amazon | Ex. ServiceNow, Recursion, UpStride | Researching to understand how Deep Learning works
https://rarefin.github.io
Group Leader - AI and data infrastructure for science at
UChicago/Argonne/Globus - UofIllinois alum. materials, chemistry, physics. Opinions are my own.🤖🔬
Associate Professor of Computational Chemistry, University of Birmingham
https://www.grynova-ccc.org/
views my own
machine learning drug discovery scientist @ iambic tx | neuralplexer developer
computational biophysicist, glycoscientist, feminist, jewish, lover of sufjan stevens. she/they 🏳️🌈 ✡︎
📍 sf/nyc
Assistant Professor at Princeton. Quantum-chemical engineer and materials designer.
https://rosen.cbe.princeton.edu
Content development editor @rsc.org focusing on North America. Theoretical chemist. LEGO fan. #DFT #compchem #chemistry #DogsofCompChem #Quantum
Proud member of #ChemSky
Personal+work account (all views my own)
📍Buffalo, NY
Chemistry professor at CMU. Connecting chemical sciences with AI #MachineLearning and automated experimentation. #tarheels fan. Care: #design, #photography #Ukraine #cats🐈 Rants are mine
Research scientist & computational chemist at Berkeley Lab using HT DFT workflows, machine learning, and reaction networks to model complex reactivity.
Trying to teach computers how to design materials. Leading a research group at FSU Jena/HIPOLE Jena.
Increasing entropy since 1996.
Principal Researcher in BioML at Microsoft Research. He/him/他. 🇹🇼 yangkky.github.io
Achira | http://achira.ai
Research laboratory | http://choderalab.org
Antiviral drug discovery for pandemics | http://asapdiscovery.org
OpenADMET | http://openadmet.org
Employer-mandated disclaimer: http://choderalab.org/disclaimer
Pronouns: he/him
Computational Chemist. 🦀🐍 Scientist at BAM
+ Professor FSU Jena. Only private opinions here.
Last name: German pronunciation. 🏳️🌈 she/they (sie).
@JaGeo on github
Computational chemistry & physics, electrons, deep learning 🚲☕️♟️ Microsoft Research AI for Science · https://jan.hermann.name
Computational structural biologist @Fox Chase Cancer Center. Gay, out & proud since 1986. I support transgender & nonbinary people. Living with CLL/SLL. Video about my LGBTQ+ life in science: https://tinyurl.com/45srzjdw. Views my own, not my employer's.
Theoretical physicist with a PhD in neuroscience. Postdoc in protein-protein interactions. Into art, science, and innovation.
Currently: Copenhagen 🇩🇰
Previously: Oslo 🇳🇴, London 🇬🇧, Brussels 🇧🇪
Theoretical chemist. Research interests in optimisation (basis sets) and using AI/ML in sustainable chemistry
Teaching interests in digital chemistry and active learning
Professor of Computer Science, Stanford - HCI & Design, Co-Founder & Co-Director Stanford HAI @stanfordhai.bsky.social
Digital chemist & chemistry automation nerd | Lives in a historical canalside cottage | Learner of comp chem and Swedish | Views are mine | She/they. Macclesfield, UK
Engineering professor, computational scientist, jazz buff, techie, academic writer & font geek. Faculty director of the GW Open Source Program Office.
https://lorenabarba.com
www.linkedin.com/in/lorenabarba
Professor of Chemistry and Computer Science
University of Toronto
Faculty member, Vector Institute
Director, Acceleration Consortium
Senior Director of Quantum Chemistry NVIDIA
My views expressed here are personal and are not those of my employers.
AI + Astro/Physics. Assistant Prof at Cambridge.
astroautomata.com/
Computational Biophysicist, Amateur Photographer, History+Language Nerd.
All views my own.
Website: https://martinvoegele.github.io/
Research Scientist, X, The Moonshot Factory (fka Google X) | autonomous science designer | Assistant Professor (on leave), Carnegie Mellon University | h(e/im), views my own
Chemist, Scientist, Husband, Dad, Runner, Teacher. I develop Avogadro + OpenBabel to find new materials for energy applications @Pitt_Chemistry he/him
Computational chemist at the University of Copenhagen #compchem
Assistant Professor at EPFL, ML/AI-accelerated Chemistry & Synthesis | Educating the next generation of chemists and leading a fantastic team (https://schwallergroup.github.io) | Previously IBM Research / Uni Bern / Uni Cambridge / EPFL | he/his
Self-driving labs & materials chemistry | Assistant Professor at NC State
Group: @ddomlab.org
ddomlab.org
Assistant Professor of Computational/Theoretical Chemistry @Northeastern University (Boston) | https://sdonglab.org | Twitter: @sijia_dong
Computational photochemist -Associate Professor of Chemistry at Northeastern University (he/his 🏳️🌈)
To physicists: a chemist. To chemists: a physicist. To mathematicians: an empty set.
RSURF & Lecturer, Imperial College London.
Computational chemist / physicist.
Photovoltaics, batteries, antibacterial peptides; lasers, cryostats, (ML)(Q)MC/MD/TB/DFT.
Assistant Professor, Texas A&M Chemistry. Theoretical chemistry, focus currently on molecular and condensed phase spectroscopy, organic materials design, the Center for the Mechanical Control of Chemistry, and polymers. Views are my own. dtaborgroup.com
Editor at @science.org, shepherding chemistry papers; views here are my own; he/him
Assistant professor @ Duke University BME, guerilla knitter, pipettor of small volumes of liquid. Biologist masquerading as engineer, or the other way around.
Associate Prof. occupying space somewhere between chemistry and materials science using synthesis, characterization, computation, and machine learning at the University of Houston
Associate Prof | AI for drug discovery | Eindhoven University of Technology | Previously ETH Zurich & UniMiB | she/her 🏳️🌈
Computational chemist at University of Oxford. MSCA fellow. Reaction mechanisms and catalysis
Slayer of soucouyants but terrified of douens, centipedes and ceiling fans
Blog (Molecular Design): https://fbdd-lit.blogspot.com/
Director of the Duke University Center for Computational and Digital Health Innovation. Alfred Winborne Mordecai and Victoria Stover Mordecai Associate Professor of Biomedical Engineering. Research in HPC and digital twins for health.
CS Faculty at Mila and McGill, interested in Graphs and Complex Data, AI/ML, Misinformation, Computational Social Science and Online Safety
Staff Research Scientist at Google DeepMind. ML for Biology and Chemistry (Previously NLP). Former adjunct assistant prof at NYU.
All opinions my own.
https://scholar.google.com/citations?user=bRpjhycAAAAJ&hl=en&oi=ao
Deep learning & protein design. Currently designing stuff at Google DeepMind, previously at Stanford with Possu Huang. alexechu.github.io
Director Data Science Institute @UWMadison, Professor of Physics,
EiC @MLSTjournal. Physics, stats/ML/AI, open science.
Grad Student @ Kellis Lab, MIT | AI in healthcare 🧬 🖥️
https://shania99.github.io/
Head of Sci/cofounder at futurehouse.org. Prof of chem eng at UofR (on sabbatical). Automating science with AI and robots in biology. Corvid enthusiast
Assistant Professor at Purdue. Computational materials scientist. I would write so many more proposals and papers if I didn't waste so much time watching sports.
(He/they) Research scientist @ PhysicsX. Geometric deep learning, AI for science.
London 🏳️🌈🏳️⚧️
RamO(N) Miranda Quintana
Theoretical and Computational chemistry
https://quintana.chem.ufl.edu/
#chemsky #compchemsky
Scientist, #MachineLearning and #AI for Moleculear Sciences. Scuba Diver. Loves @cecclementi.bsky.social
Computational chemist with a focus on QM, Force Fields, and how ML can aid in both. Also: Cosplayer, LARP writer, birder, occasional science communicator, and several other things. She/they.
CTO & Co-Founder at Coefficient Bio. Ex-Prescient Design • Genentech. Advisor to Atomscale & Guide Labs
ncfrey.github.io | ncfrey.substack.com
Professor for data science at HSD, @zdd-hsd.bsky.social
| ML fan & critic | current research mostly #datascience, #machinelearning, #cheminformatics #dataviz #nlp | ✨ #openscience #openaccess #rse | living data point 🚲
Physicist, professor @univie.ac.at, computational physics, statistical mechanics, machine learning, soft matter, biking, hiking, skiing, *320 ppm. 🇪🇺
Scientist, Sci-Fi Author, and Tech Nerd wandering the world. Obsessed with #biotech, #AI, and frontier tech.
Join me @ connectedideasproject.com for thoughts on tech, policy, and life.
ML & protein engineering at http://science.xyz | into papers, pens, plots, puppies, proteins
algorithmic.ink
https://x.com/gottapatchemall
Materials Scientist at Humboldt University of Berlin | @fairmat.bsky.social | #NOMAD (https://nomad-lab.eu/nomad-lab/).
Scientist & Scuba Diver - I love theoretical physics, sharks, and pygmy seahorses - http://www.instagram.com/clementicecilia - http://www.physik.fu-berlin.de/en/einrichtungen/ag/ag-clementi
Assistant Professor at UC Berkeley
AI/ML Principal Scientist at J&J
External lecturer at Johannes Kepler University Linz, Austria
Drug Discovery | Deep Learning | RL
http://www.arjonamedina.com
Neuroscientist, AI/ML Engineer & Classical Visual Artist | Comp. Psychiatry & Neurodev. 🧠✨🎨
SFARI Fellows-to-Faculty | Burroughs Wellcome Fund | Leading Edge Fellow | NASEM/Ford Fellow
Weill Cornell Medicine & Columbia University
www.amandabuch.com
Biophysicist｜Damon Runyon QB & NCI Early Stage K99/R00 Fellow at MSKCC w/ @jchodera.bsky.social | @foldingathome.org | PhD with @drgregbowman.bsky.social | Variant Effects, Protein dynamics, Dogs, Games 🇮🇳🇸🇬🇺🇸
My website: https://sukritsingh.github.io
ML for Potential Energy Surfaces
PhD student at Oxford
Former Microsoft AI4Science Intern
PhD Candidate at Netherlands Cancer Institute〡Structural Biology〡Experimental–Computational Integration〡
Curious about AI-Integrated Biology and Synthetic Biology 🔬〡
Bioillustration using Blender🧬〡
https://beacons.ai/rborza
ai ⊕ science | prev at Nvidia, ESA
boris with 10 r's (handles with fewer r's were taken). ML for weather (prev health) @ Google. into guitars, sci fi, parenting, lolz. i make rock music for kids: https://open.spotify.com/artist/43Np3yVcbFcW4Uyn9C2MPe?si=gsh99-beRTSafXO_PxaSgg
Scientist 👩🔬 & EPFL Prof 🇨🇭 | DeepLabCut.org , 🦓 cebra.ai | neuroscience & ML 🧠 mackenziemathislab.org | ✨CSO at Kinematik.ai | occasionally 🐦⬛birds/🌱outdoors/🍣food/👠fashion
