Courses

Below is a list of courses I’ve taken during my undergrad.

Spring 2025

COMPSCI 199: Supervised Independent Study
COMPSCI 370: Adaptive Instruction Methods
MCELLBI C100A: Biophysical Chemistry
STAT 210B (Graduate): Theoretical Statistics

Fall 2024

EECS C106A: Introduction to Robotics
COMPSCI 180: Intro to Computer Vision and Computational Photography
COMPSCI 270: Combinatorial Algorithms and Data Structures
COMPSCI 288: Natural Language Processing

Spring 2024

COMPSCI 61C: Great Ideas of Computer Architecture
BIOENG C142: Machine Learning, Statistical Models, and Optimization for Molecular Problems
STAT 155: Game Theory
STAT C241B (Graduate): Advanced Topics in Learning and Decision Making
INDENG 223 (Graduate): Financial Engineering Systems II
INDENG 290 (Graduate): Stochastic Optimization
ENGLISH R1B: Reading and Composition
ECON 119: Psychology and Economics
UGIS 192C: Supervised Research: Biological Sciences

Fall 2023

STAT 154: Modern Statistical Prediction and Machine Learning
COMPSCI 170: Efficient Algorithms and Intractable Problems
COMPSCI 188: Introduction to Artificial Intelligence
COMPSCI 198: Deep Learning for Visual Data
MATH 202A (Graduate): Introduction to Topology and Analysis
MATH 221 (Graduate): Advanced Matrix Computations
UGBA 103: Introduction to Finance
UGBA 137: Special Topics in Finance
UGIS 192C: Supervised Research: Biological Sciences

Spring 2023

DATA C8: Foundations of Data Science
COMPSCI 61B: Data Structures
COMPSCI 70: Discrete Mathematics and Probability Theory
MATH 113: Introduction to Abstract Algebra
STAT 135: Concepts of Statistics
ECON 139: Asset Pricing and Portfolio Choice

Fall 2022

COMPSCI 61A: The Structure and Interpretation of Computer Programs
MATH 53: Multivariable Calculus
MATH H54: Honors Linear Algebra and Differential Equations
MATH 128A: Numerical Analysis
STAT 150: Stochastic Processes

Summer 2022

MATH 104: Introduction to Analysis
MATH 185: Introduction to Complex Analysis