Courses
* = graduate courses, ** = favorite courses
Spring 2023
- CS 262* - Distributed Computing (Jim Waldo)
- English CALR - Advanced Screenwriting Workshop (Musa Syeed)
- English 110FF** - Medieval Fanfiction (Anna Wilson)
- HIST 1037** - Modern Southeast Asia (Sugata Bose)
- GENED 1110 - Classical Mythology (Rachel Love)
Fall 2022
- CS 279r* - Systems Human-Computer Interaction (Elena Glassman)
- CS 165 - Data Systems (Stratos Idreos)
- English CNFR** - Creative Nonfiction Workshop (Darcy Frey)
- English Seminar - Digital Race Studies: Storytelling, Power, Community (Maria Dikcis)
- GENED 1038 - Science of Sleep (Charles Czeisler and Frank Scheer)
Spring 2022
- CS 282r* - Advanced Topics in Machine Learning: Probabilistic ML, ML Applications in Science, and Causality (Google Researchers)
- HBS 1764** - Making Markets (Scott Kominers)
- HBS 6740** - Entrepreneurial Failure Field Course (Tom Eisenmann and Lindsay Hyde)
- English 111 - Epic: From Homer to Star Wars (Leah Whittington and Vidyan Ravinthiran)
- Psych 1406 - Biological and Artificial Visual Systems: How Humans and Machines Represent the Visual World (George Alvarez)
- Teaching Fellow for CS 96r - Machine Learning for Social Good (Jim Waldo)
Fall 2021
- AC 215* - Advanced Data Science & ML Ops (Pavlos Protopapas)
- CS 121 - Theoretical Computer Science (Madhu Sudan)
- English 181a** - Asian American Literature (Ju Yon Kim)
- EXPOS 40 - Public Speaking Practicum (Lee Nishri-Howitt)
- HBS Undergrad Tech Innovation Fellows - Business Fundamentals + Entrepreneurship Seminars
Gap Year 2020-21 (Self-Learning)
- Coursera/Stanford - Natural Language Processing (Dan Jurafsky and Christopher Manning)
- Deeplearning.AI/Coursera - Build Basic Generative Adversarial Networks (GANs) [Notes] [Certification]
- Deeplearning.AI/Coursera - Build Better Generative Adversarial Networks (GANs) [Notes] [Certification]
- Masterclass - Screenwriting (Aaron Sorkin) [Notes]
- Coursera/Yale - The Science of Well-Being (Laurie Santos)
- IBM - Deep Learning Essentials [Certification]
- IBM - Enterprise Design Thinking [Certification]
- IBM - Enterprise Design Thinking for AI [Certification]
Spring 2020
- CS 226r*** - Topics in Theory for Society: Fairness and Validity (Cynthia Dwork)
- MIT 6.857* - Network and Computer Security (Ron Rivest and Yael Kalai)
- CS 91r - Supervised Reading and Research (at MIT under Hal Abelson)
- CS 51 - Abstraction and Design in Computation (Stuart Shieber)
- Teaching Fellow for CS 124 - Data Structures and Algorithms (Michael Mitzenmacher)
Fall 2019
- MIT 6.036 - Machine Learning (Leslie Kaebling)
- Stat 110 - Probability (Joe Blitzstein) [Review Sheet]
- CS 91r - Supervised Reading and Research (at MIT under Hal Abelson)
- English CVB - Fiction Writing Workshop (Laura van den Berg)
- GENED 1058** - Tech Ethics: AI, Biotech, and the Future of Human Nature (Michael Sandel and Doug Melton)
Spring 2019
- CS 124** - Data Structures and Algorithms (Jelani Nelson)
- Math 112 - Real Analysis (Denis Auroux)
- Econ 1010A - Intermediate Microeconomics (Marc Melitz)
- Expository Writing - The Psychology of Success and Failure (Julia Galindo)
Fall 2018
- CS 50 - Introduction to Computer Science (David Malan)
- Math 25A - Theoretical Linear Algebra (Bena Tshishiku)
- USW 35** - Dilemmas of Equity & Excellence in American K-12 Education (Kay Merseth)
- Freshman Seminar - Physics & Photography (Peter Pershan)