Education

Overview

• Major: Computer Science
• Minor: Statistics & Data Science
• GPA: 3.9/4.0

Completed Computer Science Coursework

• CS 31: Introduction to Computer Science I
• CS 32: Introduction to Computer Science II (Data Structure and Algorithm)
• CS 33: Introduction to Computer Organization
• CS 35L: Software Construction Laboratory
• CS 174A: Intro to Computer Graphics
• CS 180: Introduction to Algorithms and Complexity
• CS CM121: Introduction to Bioinformatics
• CS 111: Operating System
• CS M51A: Logic Design of Digital Systems
• CS M282A: (Grad School Lecture) Cryptography
• CS 183: Fundamentals of Blockchain
• CS M152A: Digital Design Lab

In Progress Computer Science Coursework

• CS 118: Computer Network Fundamentals
• CS 131: Programming Languages
• CS M151B: Computer Systems Architecture
• CS 163: Deep Learning for Computer Vision

Statistics & Data Science Coursework

• Stats 20: Programming with R
• Stats 100A: Introduction to Probability
• Stats 100B: Introduction to Mathematical Statistics
• Stats 101A: Introduction to Data Analysis and Regression
• Stats 101B: Introduction to Design and Analysis of Experiment
• Stats 102A: Introduction to Computational Statistics with R
• Stats 102B: Introduction to Computation and Optimization for Statistics

Math Coursework

• Math 32A: Calculus of Several Variables
• Math 32B: Calculus of Several Variables
• Math 33A: Linear Algebra and Applications
• Math 33B: Differential Equations
• Math 61: Introduction to Discrete Structures