Assistant Professor in the Department of Statistics at Rutgers He/him 🏳️‍🌈

AI research at Broad Institute and Boston University. Reinforcement Learning / Bandits / Experiment Design Mexicano 🇲🇽

Assistant Professor of Biostatistics UC Berkeley semiparametric statistics, machine learning, causal inference, stats/ML pedagogy, social justice Modern Causal Inference Book: alejandroschuler.github.io/mci/

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

asst. prof. in (bio)statistics at harvard—causal inference, semi-parametric estimation, machine learning, open-source software for statistical science. research webpage: https://nimahejazi.org avid runner, concertgoer, timezone hopper

Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation. https://idiazst.github.io/website/

Assistant professor of biostatistics at Columbia University Casual inference, statistics, etc Pauca sed Matura

Group Leader in Tübingen, Germany I’m 🇫🇷 and I work on RL and lifelong learning. Mostly posting on ML related topics.

🏳️‍🌈👨‍👨‍👧‍👦 interested in causal inference, experimentation, optimization, RL, statML, econML, fairness Cornell & Netflix www.nathankallus.com

statistician at harvard med school • causal inference, machine learning, nonparametrics alexluedtke.com

Ph.D. Student @uwstat; Research fellowship @Netflix; visiting researcher @UCJointCPH; M.A. @UCBStatistics - machine learning; calibration; semiparametrics; causal inference. https://larsvanderlaan.github.io

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