Mario Krenn
Group Leader "Artificial Scientist Lab" at Max Planck Institute for the Science of Light
Artificial Intellgence as a source of inspiration in Science.
https://mariokrenn.wordpress.com/
@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
@chaitjo.bsky.social
PhD student at University of Cambridge. Visitor at MRC LMB. Intern at FAIR, Meta & Prescient Design, Genentech. Interested in: 🔨 Deep learning: GNNs, Transformers and generative models. 🧬 Biomolecule design, especially RNA! https://chaitjo.com
@alexxthiery.bsky.social
Associate Prof. in ML & Statistics at NUS 🇸🇬 MonteCarlo methods, probabilistic models, Inverse Problems, Optimization https://alexxthiery.github.io/
@tucek.bsky.social
mathematician (differential geometry, representation theory) and Python developer
@ribana.bsky.social
Professor of Data Science for Crop Systems at Forschungszentrum Jülich and University of Bonn Working on Explainable ML🔍, Data-centric ML🐿️, Sustainable Agriculture🌾, Earth Observation Data Analysis🌍, and more...
@moberst.bsky.social
Assistant Prof. of CS at Johns Hopkins Visiting Scientist at Abridge AI Causality & Machine Learning in Healthcare Prev: PhD at MIT, Postdoc at CMU
@rachelkluu.bsky.social
Materials & AI PhD @MIT | MechE @UCSD | generative ai, mechanics, & biological materials science
@jhennig.bsky.social
Computational neuroscientist interested in how we learn, and dad to twin boys Asst prof at Baylor College of Medicine https://www.henniglab.org/
@ruchiradatta.bsky.social
Mathematician and computer scientist. Have done research in game theory, AI/ML for NLP, and computational biology (phylogenomics, cancer, and immunology). Now working on making energy-efficient AI/ML. Vegetarian.
@hadivafaii.bsky.social
Postdoc at UC Berkeley, Redwood Center | 🧠🤖 | 🎹 | 🎾 | https://mysterioustune.com/
@jiaruizhang.bsky.social
USC CS Ph.D. student Prev Tsinghua Uni NLP, Multimodal Learning, AI for Science https://saccharomycetes.github.io/
@johnegan.bsky.social
Albuquerque AI / Atomic Entropy abqgpt.com yourai.expert folks call me the ‘AI expert’, not chasing the $$$ or seeking the spotlight, just trying to help normal folks prosper with this tech in a safe and secure manner, my 1st tech startup was in 1995
@idris1.bsky.social
Johns Hopkins CS PhD student. #MedicalRobotics #ComputerVision #DeepLearning #Guitar
@simon-driscoll.bsky.social
Senior Research Associate, Department of Applied Mathematics and Theoretical Physics, University of Cambridge. DPhil (PhD) Oxford Physics. Reading Uni (SASIP Project, 2021-25, Schmidt Sciences). Advisor Arctic Basecamp. ML/AI, physics, climate.
@akanksha-ahuja.bsky.social
AI on Graphs, Networks, Topologies 👩🏻💻🌎| PhD @Cambridge_Eng @Cambridge_Uni | MSc @CompSciOxford @UniofOxford I Prev @FCC_study, @CMSExperiment, AWAKE @CERN
@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
@profericwong.bsky.social
Assistant professor at University of Pennsylvania. Machine learning, optimization, robustness & interpretability. Home page: https://www.cis.upenn.edu/~exwong/ Lab page: https://brachiolab.github.io/ Research blog: https://debugml.github.io/
@kirtyvedula.bsky.social
Machine learning for sciences. Ph.D. 2020. Husband, father, nerd. Based in San Diego, CA.
@latzplacian.bsky.social
Intrigued by inverse problems & uncertainties. Lecturer in Applied Mathematics at the University of Manchester (views are my own; he/him) | web: www.latzplacian.org
@ipsit.bsky.social
Looking for a PhD Position in Topological Deep Learning | Ex Sony AI | Purdue | IIT Bombay ipsitmantri.github.io
@jyim.bsky.social
PhD candidate at MIT CSAIL. Generative models, protein design. Ex: DeepMind, Microsoft, Instagram, Johns Hopkins University. Website: https://people.csail.mit.edu/jyim/ X: https://x.com/json_yim
@artemmoskalev.bsky.social
Re-imagining drug discovery with AI 🧬. Deep Learning ⚭ Geometry. Previously PhD at the University of Amsterdam. https://amoskalev.github.io/
@sharvaree.bsky.social
PhD student at @amlab.bsky.social Geometric deep learning + Generative modeling. 🇳🇱🇺🇸🇮🇳 Organizer @gram-org.bsky.social workshop 📍 Amsterdam/SF
@hplisiecki.bsky.social
Exploring the latent space of human experience. Here to meet cool people and share my findings. Follow to see cool NLP papers #Psychology #AI #OpenScience #NLP
@nishantharun.bsky.social
PhD candidate @CarnegieMellon / ex @MartinosCenter interested in bridging the gap between machine learning academia and clinical practice; uncertainty quantification / explainable AI
@kkt.bsky.social
Postdoc at Stanford. Previously PhD student at Berkeley AI research. Trying to understand proteins with microfluidics and machine learning. www.karlk.net
@lacerbi.bsky.social
Assoc. Prof. of Machine & Human Intelligence | Univ. Helsinki & Finnish Centre for AI (FCAI) | Bayesian ML & probabilistic modeling | https://lacerbi.github.io/
@yuzheyang.bsky.social
Assistant Professor @UCLA | Scientist @Google | PhD @MIT | BS @PKU #ML, #AI, #health, #medicine https://people.csail.mit.edu/yuzhe/
@sbi-devs.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
@zhidilin.bsky.social
Research Fellow @NUS 🇸🇬 | Machine Learning | Generative Models | Bayesian Inference 🌐 https://zhidi-lin.github.io/
@arinbjorn.is
Visiting Postdoc Scholar @UVA Previously: PhD Imperial, Evidation Health, Samsung AI Researching core ML methods as well as computational/statistical methods in biomedicine, health and law arinbjorn.is 📍Switzerland
@sebastianlerch.bsky.social
Junior research group leader at the Karlsruhe Institute of Technology, interested in probabilistic forecasting, statistics, ML, with applications in weather, energy, environmental sciences, and beyond
@ml4science.bsky.social
Cluster of Excellence "Machine Learning: New Perspectives for Science" at University of Tübingen, Germany. Blog: https://www.machinelearningforscience.de/
@scotthosking.bsky.social
Mission Director for Environment Forecasting, The Alan Turing Institute | Science Leader for AI, @bas.ac.uk | He/Him scotthosking.com
@btoader.com
Applied mathematician developing computational imaging tools #CryoET #TeamTomo Postdoc in Scheres & Bharat labs @ MRC Laboratory of Molecular Biology, Cambridge btoader.com
@jhartford.bsky.social
DKO fellow (Assistant Prof equiv.) at University of Manchester. Causality Research Unit Lead at Valence Labs / Recursion Pharma. Prev: postdoc at Mila with Prof Yoshua Bengio, PhD at UBC. South African 🇿🇦
@olegranmo.bsky.social
AI Professor and Founding Director @ https://cair.uia.no | Chair of Technical Steering Committee @ https://www.literal-labs.ai | Book: https://tsetlinmachine.org
@natalieshapira.bsky.social
Tell me about challenges, the unbelievable, the human mind and artificial intelligence, thoughts, social life, family life, science and philosophy.
@mayrandreas.bsky.social
Postdoctoral Senior Scientist working at Johannes Kepler University Linz (Austria) Some other profiles: https://scholar.google.com/citations?user=3-Iw0tgAAAAJ&hl=de https://at.linkedin.com/in/andreas-mayr-48479664
@jdijkman.bsky.social
Infusing statistical physics with machine learning to describe molecular fluids. PhD Candidate at UvA with Max Welling, Jan-Willem van de Meent and Bernd Ensing.
@mandanas.bsky.social
PhD candidate at McGill and Mila (Quebec AI Institute) w/ Blake Richards and Doina Precup. Doing research on AI and Neuroscience 🤖🧠 Based in Montreal. 🇨🇦
@vagar.bsky.social
Head of mRNA Platform Design Data Science @Sanofi (https://www.linkedin.com/in/vagarwal87). R&D in mRNA therapeutics using ML/DL. Formerly @ UTAustin, MIT, MSFTResearch, UW, & Calico. Latest work: gScholar (https://tinyurl.com/3xdfksy6)
@elseml.bsky.social
💡 PhD candidate @ Heidelberg University. 🌱 AI for science - simulation-based inference, robust machine learning & cognitive modeling.
@rohangorantla.bsky.social
Developing ML methods for Drug Discovery @ Novartis 🧬💻 | prev: PhD student @ University of Edinburgh with Toni Mey