Bingxin Zhao

Bingxin Zhao
  • Assistant Professor of Statistics and Data Science

Contact Information

  • office Address:

    413 Academic Research Building
    265 South 37th Street
    Philadelphia, PA 19104

Research Interests: statistical methods & applications to big data, high-dimensional statistics, biomedical & biological data science, environmental data science, and social data science

Links: Personal Website, Curriculum Vitae

Overview

Education

Ph.D. in Biostatistics, University of North Carolina at Chapel Hill, 2020

M.S. in Biostatistics, University of Florida, 2016

B.Hist. History & B.Econ, Mathematical Statistics, Xiamen University, 2014

Academic Positions Held

Assistant Professor of Statistics (Tenure-track), Purdue University, 2020-2022

 

 

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Research

Teaching

Current Courses (Fall 2022)

  • STAT9910 - Sem In Adv Appl Of Stat

    This seminar will be taken by doctoral candidates after the completion of most of their coursework. Topics vary from year to year and are chosen from advance probability, statistical inference, robust methods, and decision theory with principal emphasis on applications.

    STAT9910301 ( Syllabus )

All Courses

  • OIDD4770 - Intro To Python Data Sci

    The goal of this course is to introduce the Python programming language within the context of the closely related areas of statistics and data science. Students will develop a solid grasp of Python programming basics, as they are exposed to the entire data science workflow, starting from interacting with SQL databases to query and retrieve data, through data wrangling, reshaping, summarizing, analyzing and ultimately reporting their results. Competency in Python is a critical skill for students interested in data science. Prerequisites: No prior programming experience is expected, but statistics, through the level of multiple regression is required. This requirement may be fulfilled with Undergraduate courses such as Stat 1020, Stat 1120.

  • STAT4770 - Intro To Python Data Sci

    The goal of this course is to introduce the Python programming language within the context of the closely related areas of statistics and data science. Students will develop a solid grasp of Python programming basics, as they are exposed to the entire data science workflow, starting from interacting with SQL databases to query and retrieve data, through data wrangling, reshaping, summarizing, analyzing and ultimately reporting their results. Competency in Python is a critical skill for students interested in data science. Prerequisites: No prior programming experience is expected, but statistics, through the level of multiple regression is required. This requirement may be fulfilled with Undergraduate courses such as Stat 1020, Stat 1120.

  • STAT9910 - Sem in Adv Appl of Stat

    This seminar will be taken by doctoral candidates after the completion of most of their coursework. Topics vary from year to year and are chosen from advance probability, statistical inference, robust methods, and decision theory with principal emphasis on applications.

  • STAT9990 - Independent Study

    Written permission of instructor and the department course coordinator required to enroll.

Awards and Honors

Activity

Latest Research

Bingxin Zhao and Fei Zou (2022), On polygenic risk scores for complex traits prediction, Biometrics, (in press).
All Research