Ali Siahkoohi
Assistant Professor, CS at UCF | Uncertainty Quantification
https://alisiahkoohi.github.io/
@roydanroy.bsky.social
Research Director, Founding Faculty, Canada CIFAR AI Chair @VectorInst. Full Prof @UofT - Statistics and Computer Sci. (x-appt) danroy.org I study assumption-free prediction and decision making under uncertainty, with inference emerging from optimality.
@mraginsky.bsky.social
web: http://maxim.ece.illinois.edu substack: https://realizable.substack.com
@ayushbharti.bsky.social
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
@louissharrock.bsky.social
Postdoc in Statistical Machine Learning @ Lancaster Uni. Previously PhD @ Imperial College London, MA @ Cambridge Uni. Interested in computational statistics, probabilistic machine learning, optimisation. Website: https://louissharrock.github.io/
@chris-drovandi.bsky.social
@ppjgoncalves.bsky.social
Computational Neuroscience and Machine Learning. Group Leader at VIB-NERF (https://nerf.be/en#/) and Associate Professor at KU Leuven (https://www.kuleuven.be/english/kuleuven). More details at goncalveslab.sites.vib.be
@davidjwarne.bsky.social
Senior Lecturer in Statistical Data Science at QUT in Mathematics. I do inference in ecology and biology. Stochastic modelling and Bayesian computation. Opinions=mine
@hpesonen.bsky.social
Researcher at Oslo Centre for Biostatistics and Epidemiology. Likelihood-free inference|Statistical modelling|Often Bayesian|Open source software development
@arnauddelaunoy.bsky.social
PhD student working on simulation-based inference under the supervision of @glouppe .
@vstaros.bsky.social
@jkrd.bsky.social
Assistant professor at NCU. Developing methods for atomistic simulations. Building a research group! x.com/JakubRydzewski
@gedasb7.bsky.social
Assistant Professor at UNC Chapel Hill, previously a postdoc at Meta AI, PhD from UPenn, a basketball enthusiast 🏀. 🔗 https://www.gedasbertasius.com/ 🎓 https://scholar.google.com/citations?hl=en&user=8FWkjw8AAAAJ
@iclr-conf.bsky.social
International Conference on Learning Representations https://iclr.cc/
@angelamczhou.bsky.social
assistant prof at USC Data Sciences and Operations; phd Cornell ORIE. data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity angelamzhou.github.io
@esteng.bsky.social
Postdoc @UNC working on NLP, AI, and computational linguistics. Formerly PhD student @JHU and undergrad @McGill esteng.github.io
@fredsala.bsky.social
Wisconsin CS. Snorkel AI. Working on machine learning & information theory. https://pages.cs.wisc.edu/~fredsala/
@marcusabrubaker.bsky.social
Research Scientist@Google DeepMind Assoc Prof@York University, Toronto mbrubake.github.io Research: Computer Vision and Machine Learning, esp generative models. Applications: CryoEM (cryoSPARC), Statistics (Stan), Forensics, and more
@binhnt.bsky.social
https://tbng.github.io/ machine learning researcher at the National University of Singapore. prev inria + université paris sud.
@neuripsconf.bsky.social
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15. https://neurips.cc/
@mspan.bsky.social
Engineering at the intersection of industrial AI, autonomous systems, optimization, and old school data science.
@jesfrellsen.bsky.social
Associate Professor of Machine Learning and Signal Processing, Technical University of Denmark (DTU) https://frellsen.org
@osupplisson.bsky.social
French PhD student in [Bayesian] applied biostat/epi, @ Collège de France/CNRS. Interested in spatio-temporal statistics, clinical trial methodology, evidence synthesis, and Bayesian methods R-INLA/inlabru/brms user
@lbarquist.bsky.social
Assistant prof @ UofT, research group leader @ Helmholtz Institute for RNA-based Infection Research. Pathogen systems biology / informatics / functional genomics. Coastal New Hampshirite. Drink Moxie.
@asinghml.bsky.social
Intern@Sony AI | ECE PhD student@Northeastern University. Working on time series and human motion generation. https://ashutosh17dec.github.io
@ryanpkelly.bsky.social
PhD student at QUT in computational Bayesian statistics simulation-based inference | generative modelling | robust ML
@sanjyot.bsky.social
Doctoral Student at the Carnegie Mellon University - University of Pittsburgh Joint Ph.D. Program in Computational Biology (CPCB). Former - Mathematics, IIT Bombay
@baharazari.bsky.social
Machine Learning Research Scientist @ Bosch Center for AI | PhD in Electrical Eng. | Working on guided diffusion models for image-to-image translation systems | Enjoy learning and exploring new ideas | Sewing colorful dresses 👗| Soft spot for baby animals
@tom.fehri.ng
Forecasting @ OpenAI. Posts (rarely) about data, statistical computing, ML/AI, financial markets, urbanism, and/or cats.
@anshulnasery.bsky.social
PhD student at UW CSE | Prev PreDoc at Google, Undergrad at IIT Bombay
@maxilse.bsky.social
Working at microsoft research health futures. Interested in causal representation learning and generative modelling applied to medical data.
@ahana.bsky.social
Reinforcement Learning PhD student, UPF Barcelona. Uncertain in the face of optimism. ahanadeb.github.io
@timwei.land
PhD student @ ELLIS, IMPRS-IS. Working on physics-informed ML and probabilistic numerics at Philipp Hennig's group in Tübingen. https://timwei.land
@davideduma.bsky.social
(he/him) Assistant Professor of Operations Research CompOpt Lab, Department of Mathematics, University of Pavia 👨🏽💻 Interested in mathematical optimization, ML, and their applications in healthcare management ⏳ Life is short, use heuristics
@danwaldie.com
I have strong opinions sometimes. Building AI that actually makes your life better. meetdelegate.com
@thserra.bsky.social
Assistant professor at University of Iowa, formerly at Bucknell University, mathematical optimizer with an #orms PhD from Carnegie Mellon University, curious about scaling up constraint learning, proud father of two
@alibehrouz.bsky.social
Intern @Google, Ph.D. Student @Cornell_CS. Interested in machine learning, LLM, brain, and healthcare. abehrouz.github.io
@schlegelm.bsky.social
Computer science @ ETH Zurich, student researcher @ Google Research, working on RL & sequence models
@fabinger.bsky.social
Ask me any questions about AI/ML, economics, biology, physics, math, statistics, or health & nutrition. I spent a lot of time thinking about these. Vedian College, Acalonia, Charles Univ. Prev.: Stanford, Princeton IAS, Harvard, Penn State, Univ. of Tokyo
@aashiqmuhamed.bsky.social
Machine Learning PhD at Carnegie Mellon @mldcmu Ex-Applied Scientist @amazon Search & @AWSAI @Stanford & @LTIatCMU MS and @iitroorkee President's Gold Medalist
@sharvaree.bsky.social
PhD student at @amlab.bsky.social Geometric deep learning + Generative modeling. 🇳🇱🇺🇸🇮🇳 Organizer @gram-org.bsky.social workshop 📍 Amsterdam/SF
@maximerobeyns.bsky.social
PhD student in ML. Bayesian deep learning, LLMs for software development, RL and open-endedness. https://maximerobeyns.com
@cong-ml.bsky.social
Research Scientist @ Google DeepMind, in open-ended learning, and AI for Scientific Discovery.