I have taken a fair amount of undergraduate and graduate courses in mathematics and computer science. Here are some highlights, with * indicating graduate courses.
In Progress (Spring 2026)
- *CS 8803 SP: Sequence Prediction
- *CSE 8803 IUQ: Introduction to Uncertainty Quantification
- *ECE 6756: Online Machine Learning
Highlighted Mathematics Coursework
- *MATH 8803 RIE: Optimal Transport: Theory and Applications (Fall 2025)
- *MATH 6221: Probability Theory for Engineers (Fall 2025)
- *MATH 7339: Advanced Analysis (Spring 2025)
- *MATH 6455: Differential Geometry I (Spring 2025)
- *MATH 6579: Measure Theory for Engineers (Fall 2024)
- *MATH 6121: Algebra I (Fall 2024)
- *MATH 8803 GHO: Geometric Inequalities (Fall 2024)
- MATH 3236: Statistical Theory (Spring 2025)
- MATH 4782: Quantum Information & Computation (Fall 2024)
- MATH 4441: Differential Geometry (Fall 2024)
- MATH 4150: Intro To Number Theory (Spring 2024)
- MATH 3235: Probability Theory (Spring 2024)
- MATH 4022: Intro To Graph Theory (Fall 2023)
- MATH 3406: Second Course in Linear Algebra (Fall 2023) notes
Highlighted Computer Science & ECE Coursework
- *ECE 8803 HOS: High-Dimensional Statistical Signal Processing and Optimization (Fall 2025)
- *ECE 8803 GDL: Generative and Geometric Deep Learning (Fall 2025)
- *CS 8803 DTA: Dynamics to Algorithms: Optimization, Sampling, and Games (Fall 2025)
- *ECE 7751: Graphical Models in Machine Learning (Spring 2025)
- *ECE 6270: Convex Optimization (Spring 2025)
- *ECE 6254: Statistical Machine Learning (Spring 2025)
- CS 4650: Natural Language Processing (Fall 2024)
- CS 3511: Design and Analysis of Algorithms - Honors (Spring 2024)