Feeling good being a doctor π
30.07.2025 13:38 β π 10 π 1 π¬ 0 π 0
Photo of Yifan Wu and her committee.
Congratulations to Dr. @yifanwu.bsky.social for successfully defending her Ph.D. dissertation!
"Trustworthy AI: Foundations from Proper Scoring Rules"
Thanks to her committee: @jessicahullman.bsky.social, Bobby Kleinberg, and Annie Liang.
29.07.2025 19:49 β π 21 π 2 π¬ 1 π 0
You deserve the best advisor award!
30.07.2025 13:35 β π 1 π 0 π¬ 0 π 0
Congrats to you too!
06.06.2025 00:51 β π 1 π 0 π¬ 0 π 0
Congratulations to students @yifanwu.bsky.social (Northwestern) and Yunran Yang (SJTU) for winning a best paper award at FORC 2025 for "Smoothed Calibration and Decision Making".
06.06.2025 00:48 β π 5 π 1 π¬ 2 π 0
Winter School on Data Economics
Winter School on Data Economics
PhD student applications are open (until Dec 8) for the:
"MCGT Winter School on Data Economics"
It is Jan 20-24, 2025, at the Moroccan Center for Game Theory in Rabat. Topics: ML in Econ, Elicitation, Peer Prediction, Data Econ for ML, Differential Privacy. mcgt.um6p.ma/en/seminars-...
19.11.2024 18:37 β π 9 π 2 π¬ 1 π 0
Calibration for everyone and every decision, maybe | Statistical Modeling, Causal Inference, and Social Science
If you were hoping to spend your Friday reading about calibration on social media, I have just the thing for you!
On multicalibration, omniprediction, how they relate
statmodeling.stat.columbia.edu/2024/11/15/c...
Got too long to discuss practical questions as much as I'd like, so that's next.
15.11.2024 19:13 β π 16 π 1 π¬ 1 π 0
This yearβs SIGecom job market candidate profiles are now available. Please share the following link with anyone you think may be interested in hiring from our community in either postdoctoral or faculty positions: www.cs.drexel.edu/~vg399/SIGec...
14.11.2024 22:31 β π 20 π 11 π¬ 0 π 5
Econ PhD student at Stanford
bldavies.com
Teaching and Learning Cryptography at Northwestern
https://wangxiao1254.github.io/
I integrate insights and techniques from machine learning into the econometric toolbox.
https://gsb-faculty.stanford.edu/jann-spiess
MIT postdoc, incoming UIUC CS prof
katedonahue.me
Faculty at the University of Colorado. Interested in theoretical computer science, and especially lattices. Also: mountains, running, music.
https://home.cs.colorado.edu/~hbennett/
Assistant Professor at Stanford
Machine learning, algorithm design, econ-CS
https://vitercik.github.io/
Researcher in ML and Privacy.
Distinguished Postdoc at Khoury College Northeastern.
PhD @UofT & @VectorInst. previously Research Intern @Google and @ServiceNowRSRCH
https://mhaghifam.github.io/mahdihaghifam/
CSE phd student @ UC San Diego
phd student in information studies @ ucla | center for race and digital justice fellow, studying information, blackness, math, data, ml fairness/ethics, and ai
kingnegritude.cargo.site
Assistant Professor at USC Annenberg and affiliated faculty at USC Center for AI in Society | Previously Cornell IS & Cornell Comm. Research on #HCI, #AI, and #FutureOfWork | https://angelhwang.github.io/
Assistant Professor @ UChicago CS & DSI UChicao
Leading Conceptualization Lab http://conceptualization.ai
Minting new vocabulary to conceptualize generative models.
Lecturer @kcl-spe.bsky.social @kingscollegelondon.bsky.social
Game Theory, Econ & CS, Pol-Econ, Sport
Chess βοΈ
Game Theory Corner at Norway Chess
Studied in Istanbul -> Paris -> Bielefeld -> Maastricht
https://linktr.ee/drmehmetismail
Views are my own
Psychological scientist working at the University of Washington. Substance use, emotion, motivation, decision-making. jonasdora.com
π¦ PhD student at Northwestern econ π
https://okuchap.github.io/
3rd-year PhD @ Stanford
Algorithm design and analysis with a current focus on matching algorithms in various settings.
CS PhD student at UT Austin in #NLP
Interested in language, reasoning, semantics and cognitive science. One day we'll have more efficient, interpretable and robust models!
Other interests: math, philosophy, cinema
https://www.juandiego-rodriguez.com/
Empirical IO | Digital Platforms | Transportation
rfaltings.com
Statistics PhD student @UCBerkeley
http://aulichney.github.io/