assistant prof at USC Data Sciences and Operations and Computer Science; phd Cornell ORIE.
data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity
bureaucratic justice warrior
angelamzhou.github.io
Professor of Mechanical Engineering and head of Chair for Computational Analysis of Technical Systems (CATS) at RWTH Aachen University.
To be honest, Iβm here mostly to repost from Mastodon:
https://bsky.app/profile/behr.mastodon.social.ap.brid.gy
Apostate mathematician, operations research, optimization, Pro Bono Analytics, inarticulate Java & R coder
I spend most of my adult life on convex optimization and www.Mosek.com. In my spare time I like riding my racing bike and follow www.ob.dk.
ORCID: https://orcid.org/0000-0001-6351-8761
Professor, Stochastic and Integer Optimizer, Dad
Professor in Operations Research at Copenhagen Business School. In β€οΈ with Sevilla and its Real Betis BalompiΓ©.
UW-Madison ISyE Professor | 2023 INFORMS President | #PunkRockOR blogger | #BadgerBracketology | Smarter decisions for a better world
Professor at Columbia University, miserable fan of the Nets and Jets, looking for good doughnuts
Industrial Engineering Assistant Professor & Director of the Operations Research and Social Justice Lab at Northeastern University
Using #ORMS to address #Healthcare, #SocialJustice, #Access, & #HumanTrafficking
Theoretical Computer Science professor @ U. of Michigan-Ann Arbor.
Opinions are mine and may evolve over time.
repost β endorsement.
Policy: I don't interact with anonymous profiles.
Join AAUP.
he/him/his.
Optimization guy, with a soft spot for testing and good software practices. Views are my own.
Team leader (tenured) at RIKEN AIP. Opinions my own. https://emtiyaz.github.io
π bridged from https://mastodon.social/@emtiyaz on the fediverse by https://fed.brid.gy/
EurIPS is a community-organized, NeurIPS-endorsed conference in Copenhagen where you can present papers accepted at @neuripsconf.bsky.social
eurips.cc
Researcher in ML/NLP at the University of Edinburgh (faculty at Informatics and EdinburghNLP), Co-Founder/CTO at www.miniml.ai, ELLIS (@ELLIS.eu) Scholar, Generative AI Lab (GAIL, https://gail.ed.ac.uk/) Fellow -- www.neuralnoise.com, he/they
PI at Helmholtz AI, Faculty at TU Munich, Fellow at Zuse School for reliable AI, Branco Weiss Fellow, ELLIS Scholar.
Prev: Cambridge CBL, St John's College, ETH ZΓΌrich, Google Brain, Microsoft Research, Disney Research.
https://fortuin.github.io/
PhD researcher in Machine Learning at Imperial College. Visiting at University of Oxford.
Interested in all things involving causality and Bayesian machine learning. Recently I have also been interested in scaling theory.
https://anish144.github.io/
Process systems engineering researcher @imperialchemeng.bsky.social, previously @official-uom.bsky.social
Academic at Imperial College London
Optimisation and Machine Learning in Systems Engineering
PhD Cambridge | UG UNAM π²π½
he/him
https://www.optimlpse.co.uk/people/
Postdoc in Cooper Group at University of Liverpool.
