• Data Scientist in EdTech
• PhD in Quant Psych
https://josue-rodriguez.github.io
Staff scientist - causal inference, offline RL, and Bayesian stuff
Dad of 3 & born-again mathematician. Statistician, economist, fellow actuary & data addict. Professor & researcher in Montréal, Canada. Previously in Paris, Hong Kong, Leuven & Rennes. Full of 'satiable curtiosity https://mastodon.social/@freakonometrics
To be specific, in the Dawes, Tomes, Mousely, Grubbs Fidelity Fiduciary Bank.
http://elliotlipnowski.com/
When the limestone of imperative programming has worn away, the granite of functional programming will be revealed underneath -Simon Peyton Jones
https://welltypedwit.ch
Ginni Rometty Prof @NorthwesternCS | Fellow @NU_IPR | Uncertainty + decisions | Humans + AI/ML | Blog @statmodeling
Princeton computer science prof. I write about the societal impact of AI, tech ethics, & social media platforms. https://www.cs.princeton.edu/~arvindn/
BOOK: AI Snake Oil. https://www.aisnakeoil.com/
Asst Prof of Information @ UMich thinking about assumptions built into AI
AI accountability, audits & eval. Keen on participation & practical outcomes. CS PhDing @UCBerkeley.
CS PhD candidate at Princeton. I study the societal impact of AI.
Website: cs.princeton.edu/~sayashk
Book/Substack: aisnakeoil.com
Associate professor at the University of Chicago. Visiting scientist at Abridge. Working on human-centered AI, NLP, CSS. https://chenhaot.com, https://substack.com/@cichicago
asst prof @ cornell info sci | fairness in tech, public health & services | alum of MSR, Stanford ICME, NERA Econ, MIT Math | she/her | koenecke.infosci.cornell.edu
Assistant Prof at UCSD. I work on safety, interpretability, and fairness in machine learning. www.berkustun.com
Professor at Penn, Amazon Scholar at AWS. Interested in machine learning, uncertainty quantification, game theory, privacy, fairness, and most of the intersections therein
Asst Prof at Cornell Info Sci and Cornell Tech. Responsible AI
https://angelina-wang.github.io/
Machine learning researcher, working on causal inference and healthcare applications
Assistant Prof of AI & Decision-Making @MIT EECS
I run the Algorithmic Alignment Group (https://algorithmicalignment.csail.mit.edu/) in CSAIL.
I work on value (mis)alignment in AI systems.
https://people.csail.mit.edu/dhm/
AI Policy Fellow @ Princeton | PhD Carnegie Mellon | privacy, accountability, & algorithmic systems
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
Director, Center for Tech Responsibility@Brown. FAccT OG. AI Bill of Rights coauthor. Former tech advisor to President Biden @WHOSTP. He/him/his. Posts my own.
