Professor Dr. Weijie Su profile photo

Professor Dr. Weijie Su

Associate Professor

Build a Statement of Purpose

Generate a tailored SOP for Dr. Weijie Su. Improve your application with a focused, well-structured draft.

Biography

Weijie Su is an Associate Professor in the Department of Statistics and Data Science at the University of Pennsylvania, with a secondary appointment in the Department of Computer Information Science. He earned his Ph.D. in Statistics from Stanford University in 2016 and completed his Bachelor's degree in Mathematics at Peking University in 2011. His research has focused on topics including robust learning rate selection and statistical estimation methods, with notable contributions in both theoretical and applied statistics. He is involved in various educational activities, teaching courses on statistical computing and inference, and supervising independent study projects for graduate students. Su has received several prestigious awards including the Peter Gavin Hall IMS Early Career Prize in 2022 and the Alfred P. Sloan Research Fellowship in 2020. He actively publishes in leading journals and has presented his work at top conferences in the field of statistics and machine learning.

Research Interests

Awards

#2022

Peter Gavin Hall IMS Early Career Prize

2022-01-01
#2020

Alfred P. Sloan Research Fellowship

2020-01-01
#

NSF CAREER Award

2019-01-01
#

Theodore W. Anderson Stanford Dissertation Award

2016-01-01

Courses

STAT4050 - Stat Computing R STAT7050 - Stat Computing R AMCS5999 - Independent Study AMCS9999 - Ind Study & Research STAT4310 - Statistical Inference STAT5110 - Statistical Inference STAT9910 - Sem Adv Appl Stat STAT9917 - Sem Adv Appl Stat STAT9950 - Dissertation

Requirements for University of Pennsylvania

Doctorate Program

Requirements

GPA Requirement
Required:3.6
GRE General
Verbal
Required:162
Quantitative
Required:162
Overall
Required:162
GMAT
Total Score
Required:728
Overall
Required:728
TOEFL
Total
Required:115

Prerequisites

Bachelor's degree or equivalent Strong quantitative background

Application Checklist

  • Academic Transcripts
  • Letters of Recommendation (2-3)
  • Resume/CV
  • Statement of Purpose
  • Essays

Specialization Notes

Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.