Education

Yale University - Department of Statistics & Data Science

M.S. in Statistics & Data Science

Sep 2021 - Dec 2022, New Haven, Connecticut

New York University

B.A. (Magna cum laude) in Economics, B.A. in Mathematics

Sep 2017 - May 2021, New York, NY

Honors:

  • Dean Major Honors in Economics

  • University Honors Scholar

  • Recognition Award

During my undergraduate study, I double majored in Economics and Mathematics. My coursework focuses primarily Statistics and Econometrics, and I developed a strong passion for Time Series Analysis in my last year of college education.

My interest in time series ultimately motivates me pursue a graduate degree in Statistics and Data Science at Yale University. At Yale, I have 1）learnt cutting-edge machine learning/ deep learning/ causal inference techniques; 2) explored data science application in the area of product management; 3) strengthened my foundation in statistics and probability theory.

Below is a brief list of the courses I have taken so far:

Data Science & Statistics:

  • Applied Machine Learning and Causal Inference

  • Product Management

  • Deep Learning

  • Database Systems

  • Computational Tools for Data Science

  • Time Series Forecasting

  • Mathematical Statistics

  • Stochastic Processes

  • Probability and (Bayesian) Statistics

  • Linear Models

  • Multivariate Statistics

  • Numerical Computation

  • Statistical Case Studies

Mathematics:

  • Ordinary Differential Equations

  • Partial Differential Equations

  • Mathematics of Finance

  • Honors Linear Algebra

  • Complex Analysis

  • Analysis

  • Abstract Algebra

  • Number Theory

Economics:

  • Advanced Econometrics

  • Advanced Microeconomics Theory

  • Advanced Game Theory