Raaz RSK Dwivedi

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FODSI Postdoctoral Fellow
Harvard University
Massachusetts Institute of Technology

Harvard contact: raaz@seas.harvard.edu, 2.339, SEC Harvard SEAS
MIT contact: raaz@mit.edu, 32-566, Stata Center

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Postdoc and Ph.D.: I am currently a FODSI postdoc fellow and fortunate to be advised by Prof. Susan Murphy in the Departments of Computer Science and Statistics at Harvard, and Prof. Devavrat Shah in the Laboratory of Information Decision and Systems (LIDS), Department of EECS at MIT. I finished my Ph.D. in Summer 2021 from the Department of EECS at the UC Berkeley where I was fortunate to be advised by Prof. Martin Wainwright and Prof. Bin Yu. My thesis committee members included Prof. David Aldous and Prof. Peter Bartlett. I was also fortunate to work with several collaborators, including Prof. Michael Jordan at UC Berkeley, Lester Mackey at Microsoft Research (MSR), and Prof. David Madigan at the Northeastern University (formerly at Columbia University). At Berkeley, I was associated with the Berkeley Laboratory for Information and System Sciences (BLISS), and the Berkeley Artificial Intelligence Research group (BAIR).

Research interests: My research interests include both the theoretical and applied aspects of statistical machine learning and data science. Until recently, I used to work extensively on various topics in high-dimensional statistics with a focus on random sampling, improving sample quality. In the last couple of years, I have been excited about sequential decision making problems at the intersection of reinforcement learning and causal inference.

Awards: My work on distribution compression won the best student paper award in ASA sections on statistical computing and statistical graphics. For teaching, I have received the Certificate of Distinction and Excellence in Teaching (Q Award) at Harvard university in 2022, and Outstanding Graduate Student Instructor Award at UC Berkeley in 2020. I also received the prestigious Berkeley Fellowship, the highest award for the incoming graduate students, in 2015. During my graduation at IIT Bombay, I was awarded the President of India Gold Medal, the highest honor to a graduating batch of students, the Institute Silver Medal for the highest GPA, and the Best B. Tech Project Award in the EE department.

Work experience: I spent the summer of 2019 as a research intern at Microsoft Research New England. I also spent the summer of 2017 as an intern at Mist systems, Cupertino (later acquired by Juniper Networks). Before joining UC Berkeley, I worked for a year at WorldQuant Research in Mumbai, India, as a Senior Quantitative Researcher. During my undergrad, I spent the summer of 2013 at Stanford University as an intern with Prof. Balaji Prabhakar, and the winter of 2012 at Ivy Mobility.

Pre-Ph.D. life: Before UC Berkeley, I graduated from the Indian Institute of Technology, Bombay (IIT Bombay), with a B. Tech. (Honors) in Electrical Engineering and Minors in Mathematics. At IIT Bombay, I was also fortunate to work with Prof. Vivek Borkar, Prof. Pradeep Nair, and Prof. Juzer Vasi.

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