Education
Carnegie Mellon University
January 2022 - December 2022
Master of Science, Machine Learning
GPA: 4.00/4.00
Carnegie Mellon University
August 2018 - December 2021
Bachelor of Science, Major in Statistics and Machine Learning, Minor in Computer Science
GPA: 3.87/4.00, University Honors
Quantitative Social Science Scholars Honors Program
Relevant Coursework
- Statistics and Data Science:
- Probability and Mathematical Statistics
- Advanced Methods for Data Analysis
- Modern Regression
- Introduction to Statistical Inference
- Introduction to Probability Theory
- Statistical Graphics and Visualization
- Statistical Computing
- Sampling, Survey, and Society
- Methods for Statistics & Data Science
- Applied Quantitative Social Science I & II
- Machine Learning:
- Probabilistic Graphical Models
- Convex Optimization
- Graduate Artificial Intelligence
- PhD Introduction to Machine Learning
- Natural Language Processing
- Intermediate Deep Learning
- Machine Learning in Practice
- Introduction to Machine Learning
- Computer Science:
- Introduction to Computer Systems
- Algorithms and Advanced Data Structures
- Parallel and Sequential Data Structures and Algorithms
- Principles of Functional Programming
- Principles of Imperative Computing
- Mathematics:
- Matrices and Linear Transformations
- Concepts of Mathematics
- Multivariate Analysis