• 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 Kyoto 京都 🇯🇵. Previously in Montréal 🇨🇦, Paris 🇫🇷, Hong Kong 🇭🇰, Leuven 🇧🇪 & Rennes 🇫🇷. Full of 'satiable curtiosity
To be specific, in the Dawes, Tomes, Mousely, Grubbs Fidelity Fiduciary Bank.
http://elliotlipnowski.com/
There’s no sense crying over every mistake. You just keep on trying ’til you run out of cake
- GLaDOS
https://welltypedwit.ch
Ginni Rometty Prof @NorthwesternCS | Fellow @NU_IPR | AI, people, uncertainty, beliefs, decisions, metascience | 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. 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 and Computer Science; phd Cornell ORIE.
data-driven decision-making, operations research/management, causal inference, algorithmic fairness/equity
bureaucratic justice warrior
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.
