Education

Columbia University in the City of New York

Master of Science in Operations Research

Logistics and Supply Chain Management

New York, NY 2025–2026

Coursework focus: Optimization; Stochastic Models; Simulation; Transportation Analytics; Supply Chain Analytics; Production Scheduling; Machine Learning; Reinforcement Learning.

University of Chicago

Master of Science in Statistics

Chicago, IL 2024–2025

Advisor: Professor Wei-Biao Wu

Thesis: Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions

Coursework focus: Mathematical Statistics; Applied Regression Analysis; Generalized Linear Models; Time Series; Causal Inference; Multivariate Analysis; Bayesian Statistics; Machine Learning.

University of Wisconsin–Madison

Bachelor of Science with Honors

Statistics, Computer and Information Science, Economics

Madison, WI 2020–2024

Advisor: Professor Corey B. Jackson

Thesis: Exploring Convergence in Relation using Association Rules Mining: A Case Study in Collaborative Knowledge Production

Coursework focus: Calculus; Linear Algebra; Mathematical Statistics; Time Series; Nonparametric Statistics; Experimental Design; Stochastic Processes; Machine Learning; Computer Vision; Optimization; Algorithms; Database Systems; Distributed Database; Microeconomics; Macroeconomics; Game Theory; Industrial Organization; Money and Banking.

Coursework archive

Courses Taken

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Columbia University 12 courses

Courses

MSIEOR Quantitative Bootcamp (IEOR 4199) Professional Development and Leadership (ENGIE 4000) Probability and Statistics (IEOR 4150) Simulation (IEOR 4404) Optimization Models and Methods (IEOR 4004) Stochastic Models (IEOR 4106) Artificial Intelligence for OR and FE (IEOR 4010) Reinforcement Learning (ORCS 4529) Production Scheduling (IEOR 4405) Supply Chain Analytics (IEOR 4108) Transportation Analytics & Logistics (IEOR 4418) Industry Projects in Analytics & Operations Research (IEOR 4511)
University of Chicago 9 courses
University of Wisconsin–Madison 36 courses

Statistics (Hons.)

Introduction to Statistical Methods (STAT 301) Data Science Modeling I (STAT 240) Data Science Modeling II (STAT 340) R for Statistics I (STAT 303) Introduction to Probability and Mathematical Statistics I (MATH/STAT 309) Introduction to Probability and Mathematical Statistics II (MATH/STAT 310) Introduction to Time Series (STAT 349) Introductory Nonparametric Statistics (STAT 351) Data Science Computing Project (STAT 479, now is STAT 405/605) Statistical Experimental Design (STAT/ME 424) Introduction to Machine Learning and Statistical Pattern Classification (STAT 451) Introduction to Stochastic Processes (MATH/STAT 632) Senior Honors Thesis I (STAT 681) Senior Honors Thesis II (STAT 682)

Computer Science

Introduction to Computer Engineering (CS/ECE 252) Machine Organization and Programming (CS 354) (Java) Programming I-III (CS 200 - CS 400) Learning a Programming Language: MATLAB (CS 368) Introduction to Optimization (CS/ECE/ISyE 524) Introduction to Artificial Neural Networks (ECE/CS 539) Introduction to Big Data Systems (CS 544) Database Management Systems (DBMS): Design and Implementation (CS 564) Introduction to Algorithms (CS 577) Introduction to Computer Vision (CS 639)

Economics

Principles of Microeconomics (ECON 101) Principles of Macroeconomics (ECON 102) Intermediate Microeconomic Theory (ECON 301) Intermediate Macroeconomic Theory (ECON 302) Money and Banking (ECON 330) Game Theory (ECON 521) Industrial Structure & Competitve Strategy (ECON 458) Fundamentals of Data Analytics for Economists (ECON 570)

Mathematics (Cert.)

Introduction to Discrete Mathematics (MATH/CS 240) Multivariable Calculus (MATH 234) Elementary Matrix And Linear Algebra (MATH 340) Some other math courses are cross-listed with stats courses.
Online / Self-study 2 courses