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seminars:datasci:110822 [2022/11/03 14:53] – created gfuseminars:datasci:110822 [2022/11/03 15:05] (current) gfu
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 +<WRAP centeralign>##Data Science Seminar##\\ Hosted by the Department of Mathematics and Statistics</WRAP>
 +
 +  * Date: Tuesday, November 8, 2022
 +  * Time: 12:00pm -- 1:00pm
 +  * Room: Via Zoom
 +  * Speaker: Dr. Rui Song  (senior principal scientist at Amazon; Professor at North Carolina State University)
 +  * Title: On statistical inference for sequential decision making.
 +
 +<WRAP center box 80%>
 +<WRAP centeralign>**//Abstract//**</WRAP>
 + \\
 +Reinforcement learning is a general technique that allows an agent to
 +learn an optimal policy and interact with an environment in sequential
 +decision making problems. The goodness of a policy is measured by its
 +value function starting from some initial state. This talk includes a
 +few topics about constructing statistical inference for a policy's
 +value in infinite horizon settings where the number of decision points
 +diverges to infinity. Applications in real world examples will also be
 +discussed.
 + \\
 + 
 +
 +Biography of the speaker: Dr. Song is currently a senior principal scientist at Amazon. She got
 +her PhD in Statistics from University of Wisconsin in 2006 and has
 +been a faculty member at North Carolina State University since 2012.
 +Her recent research focuses on adapting statistical advances to make
 +optimal treatment decisions for an individual patient, based on all
 +information available for that patient. She develops efficient and
 +powerful statistical approaches to use personalized, multi-stage
 +information of patients in modeling, estimation, inference, selection
 +of important prognostic factors and evaluating treatment responses for
 +personalized treatment discoveries. Her research has been supported as
 +principal investigator by National Science Foundation (NSF) including
 +the NSF Faculty Early Career Development (CAREER) Award. She has
 +served as an associate editor for several statistical journals. She is
 +an elected Fellow of the American Statistical Association and
 +Institute of Mathematical Statistics.
 +
 +</WRAP>