Raaz RSK Dwivedi

Coming soon! 

Assistant Professor, Cornell Tech, Cornell University!
Field Member: ORIE, CS, Stats, CAM

My research interests are in the areas of causal inference, reinforcement learning, and distribution compression with applications in personalized decision-making and healthcare. If you are a PhD student or a postdoc at Cornell and interested in these topics, feel free to email me. I am also actively looking to recruit motivated and talented students applying to Cornell (see here).


Selected presentations

  • From HeartSteps to HeartBeats: Personalized Decison-making || animated slides | slides ||

    • 2023: Cornell ORIE Industry Summit, AI CS, Stats & DS, CAM, Yale Stats & DS, Gatsby UCL, Stanford GSB OIT Group, UW Madison Stats, UIUC CS, Wharton Stats, UCLA Stats; 2022: Cornell ORIE, Cornell Tech ORIE, Rutgers Stats, Stanford EE (ISL), UC Berkeley EECS (BLISS)

  • Counterfactual Inference

    • in sequential experiments || preprint 1, preprint 2 | slides | poster ||

    • and with unobserved confounding || preprint 3 | slides | poster ||

    • 2023: ACM-FCRC, Informs APS, NESS, ACIC, MIT, IIM-A; 2022: NeurIPS, Cornell YRW, RSS, Informs, IMS, ACIC, SCM Princeton, Simons, MIT, Harvard

Brief Bio

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