
Overview
Carnegie Mellon University (2019 - 2023)
-
B.S. Statistics and Machine Learning (2023)
-
Minor in Computer Science
Leland High School
-
2015-2019
Coursework
2020-2021
Summer 2021
-
15-213 Introduction to Computer Systems
Spring 2021
-
15-150 Principles of Functional Programming
-
36-226 Introduction to Statistical Inference
-
36-350 Statistical Computing
-
76-239 Introduction to Film Studies
-
85-918 Research with CMU's Health and Human Performance Lab
Fall 2020
-
36-225 Introduction to Probability Theory
-
21-241 Matrices and Linear Transformations
-
15-122 Principles of Imperative Computation
-
36-290 Introduction to Statistical Research Methodology
-
85-918 Research with CMU's Health and Human Performance Lab
2021-2022
Spring 2022
-
36-402 Advanced Methods for Data Analysis
-
10-701 Introduction to Machine Learning (PhD)
-
11-411 Natural Language Processing
-
11-344 Applications of Machine Learning
-
PHIGHT COVID research
Fall 2021
-
10-301 Introduction to Machine Learning
-
36-401 Modern Regression
-
36-490 Undergraduate Research Capstone
-
67-240 Mobile Web Development
-
85-918 Research with CMU's Health and Human Performance Lab
2019-2020
Summer 2020
-
103-207 Psychology (*at Evergreen Valley College)
-
36-315 Statistical Graphics and Visualization
Spring 2020
-
36-202 Statistics and Data Science Methods
-
15-112 Fundamentals of Programming and Computer Science
-
21-127 Concepts of Mathematics
-
79-104 Global Histories
-
82-137 Chinese Calligraphy
Fall 2019
-
36-200 Reasoning with Data
-
15-110 Principles of Computing
-
21-259 Calculus in Three Dimensions
-
76-107 Writing about Data
-
76-106 Writing about Literature
-
66-109 Freshman Seminar: Climate Change