Luca Ambrogioni
Assistant professor in Machine Learning and Theoretical Neuroscience. Generative modeling and memory. Opinionated, often wrong.
@sedielem.bsky.social
Blog: https://sander.ai/ 🐦: https://x.com/sedielem Research Scientist at Google DeepMind (WaveNet, Imagen 3, Veo, ...). I tweet about deep learning (research + software), music, generative models (personal account).
@stefanabaumann.bsky.social
PhD Student at @compvis.bsky.social & @ellis.eu working on generative computer vision. Interested in extracting world understanding from models and more controlled generation. 🌐 https://stefan-baumann.eu/
@krotov.bsky.social
I am a physicist working on neural networks (both artificial and biological). Find me on https://research.ibm.com/people/dmitry-krotov
@baopham.bsky.social
PhD Student at RPI. Interested in Hopfield or Associative Memory models and Energy-based models.
@velezbeltran.bsky.social
Machine Learning PhD Student @ Blei Lab & Columbia University. Working on probabilistic ML | uncertainty quantification | LLM interpretability. Excited about everything ML, AI and engineering!
@patrickmineault.bsky.social
NeuroAI, vision, open science. NeuroAI researcher at Amaranth Foundation. Previously engineer @ Google, Meta, Mila. Updates from http://neuroai.science
@sebastianober.bsky.social
Senior ML Scientist I at BigHat Biosciences. Previously: AstraZeneca, Secondmind, PhD student & Gates Cambridge Scholar at CBL in Cambridge. Views are my own.
@darrenjw.bsky.social
Professor of Statistics, Bayesian, computational systems biologist and functional programmer, https://darrenjw.github.io/
@mguindani.bsky.social
Statistician. Bayesian. Professor, Department of Biostatistics, University of California, Los Angeles. Views are my own. He/Him.
@csprofkgd.bsky.social
#CS Associate Prof York University, #ComputerVision Scientist Samsung #AI, VectorInst Faculty Affiliate, TPAMI AE, ELLIS4Europe Member, #CVPR2025 Publicity Chair on X 📍Toronto 🇨🇦 🔗 csprofkgd.github.io 🗓️ Joined Nov 2024
@raf-camo.bsky.social
Assistant Professor @ Politecnico di Torino, Istituto Italiano di Tecnologia, ELLIS Prev. ML Genoa Center & University of Genoa ML&Robotics 🐘 http://sigmoid.social/@raf_camo 🔗 www.linkedin.com/in/raffaellocamoriano I support a free & independent Ukraine
@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
@desirivanova.bsky.social
Research fellow @OxfordStats @OxCSML, spent time at FAIR and MSR Former quant 📈 (@GoldmanSachs), former former gymnast 🤸♀️ My opinions are my own 🇧🇬-🇬🇧 sh/ssh
@trappmartin.bsky.social
ML Researcher @ Aalto University 🇫🇮. Doing: Probabilistic ML | probabilistic circuits | (Bayesian) deep learning | Bayesian stats https://trappmartin.github.io/
@jwvdm.bsky.social
Associate Professor (UHD) at the University of Amsterdam. Probabilistic methods, deep learning, and their applications in science in engineering.
@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]
@zhidilin.bsky.social
Research Fellow @NUS 🇸🇬 | Machine Learning | Generative Models | Bayesian Inference 🌐 https://zhidi-lin.github.io/
@austinjtripp.bsky.social
(ML ∪ Bayesian optimization ∪ active learning) ∩ (drug discovery) Researcher @valenceai.bsky.social Details: austintripp.ca
@arnosolin.bsky.social
Assistant Professor in Machine Learning, Aalto University. ELLIS Scholar. http://arno.solin.fi
@fxbriol.bsky.social
Associate Professor at UCL Statistical Science. Interested in computational statistics, machine learning and applications in the sciences & engineering.
@dianarycai.bsky.social
Machine learning & statistics researcher @ Flatiron Institute. Posts on probabilistic ML, Bayesian statistics, decision making, and AI/ML for science. www.dianacai.com
@pnkraemer.bsky.social
Probabilistic numerics, differentiable linear algebra, and a healthy dose of figure-making. https://pnkraemer.github.io/
@jwenger.bsky.social
Postdoctoral Research Scientist in Statistics at Columbia University
@thomas-pinder.bsky.social
Bayesian statistics, Gaussian processes, and all things ML. Senior Applied Scientist at Amazon and developer of GPJax.
@jameshensman.bsky.social
Trying to make all the AIs more efficient. Former Gaussian process connoisseur. Researcher at Microsoft Research.
@dbindel.bsky.social
Professing computing and applied math at Cornell. Numerical methods for data science, plasma physics, other stuff depending on the day. Director, Cornell Center for Applied Mathematics; Director, Simons Collaboration on Hidden Symmetries and Fusion Energy.
@silviasellan.bsky.social
Incoming Assistant Professor of Computer Graphics and Geometry Processing at Columbia University www.silviasellan.com
@willieneis.bsky.social
Assistant Professor in CS + AI at USC. Previously at Stanford, CMU. Machine Learning, Decision Making, AI-for-Science, Generative AI, ML Systems, LLMs. https://willieneis.github.io
@bramzijlstra.com
Machine Learning Engineer with a background in Philosophy and AI. I live in Amsterdam. Right now working at the Dutch Chamber of Commerce (KVK). Also founder of a boutique consulting firm.
@bingbrunton.bsky.social
Scientist interested in all aspects of brain and behavior. Loves to talk math and data. Prof of Biology at University of Washington, Seattle. Mom of 2 epsilons; paints in watercolor here, there, and anywhere.
@proflhunter.bsky.social
Knowledge based biomedical data science, artificial intelligence for discovery in molecular biomedicine, computational bioethics, theory of mattering. University of Chicago / Big Island HI
@davidaknowles.bsky.social
machine learning and functional/statistical genetics. Assistant Prof @Columbia and Core Faculty @nygenome. he/him/his. https://daklab.github.io/
@quaidmorris.bsky.social
Computational biology, machine learning, AI, RNA, cancer genomics. My views are my own. https://www.morrislab.ai He/him/his
@sashagusevposts.bsky.social
Statistical geneticist. Associate Prof at Dana-Farber / Harvard Medical School. www.gusevlab.org
@maitreya.bsky.social
My lab works on genome evolution, using yeast genetics and genomics. Chair, Department of Genome Sciences at University of Washington. Lab website: https://depts.washington.edu/dunhamlab/
@anshulkundaje.bsky.social
Genomics, Machine Learning, Statistics, Big Data and Football (Soccer, GGMU)
@emilymbender.bsky.social
Book: https://thecon.ai Web: https://faculty.washington.edu/ebender
@drannecarpenter.bsky.social
Dedicated to drug discovery, enthralled by science. 5 kids. She. SAB Recursion. Founder SyzOnc. Lab at Broad Institute. Opinions my own.
@jianma.bsky.social
Ray and Stephanie Lane Professor of Computational Biology at CMU School of Computer Science. https://www.cs.cmu.edu/~jianma/
@bowang87.bsky.social
Chief AI Officer @ UHN; Assistant Prof. @ U of Toronto; CIFAR AI Chair @ Vector Institute; AI & Biology
@suinlee.bsky.social
Paul G. Allen Endowed Professor in the Allen School of Computer Science & Engineering at the University of Washington. Interested in AI/ML, computational biology, and AI in medicine. https://suinlee.cs.washington.edu/
@sroyyors.bsky.social
Regulatory genomics, machine learning, networks, systems biology, evolution
@casey.greenelab.com
Chair of the Department of Biomedical Informatics at the University of Colorado School of Medicine. Research: transcriptomics, machine learning, public data - pick two of three. He/him. Views mine, not employer's.
@aronwalsh.github.io
Virtual Chemist; Professor #ImperialCollege; Editor #JACS; Liúdramán; Personal Opinions; He/Him
@miniapeur.bsky.social
Gradient surfer at UCL. FR, EN, also trying ES. 🇹🇼🇨🇦🇬🇳🇺🇸🇩🇴🇫🇷🇪🇸🇬🇧🇿🇦. Also on Twitter.
@pseudomanifold.topology.rocks
Dad · Geometry ∩ Topology ∩ Machine Learning Professor at University of Fribourg While #geometry & #topology may not save the world, they may well save something that is homotopy-equivalent to it. 🏠 https://bastian.rieck.me/ 🏫 https://aidos.group
@krishnaswamylab.bsky.social
We develop AI methods for science, particularly deep learning methods based on data geometry, topology and dynamics systems.
@mathildepapillon.bsky.social
Deep Learning + Topology + Human Movement Physics PhD candidate and pro sports analyst Geometric Intelligence Lab, UC Santa Barbara Prev McGill Physics⚡️