Coursework

MIT M.Eng

Fall 2024

• 7.52 Genetics for Graduate Students, taught by Prof. Chris Kaiser
• 20.405 Principles of Synthetic Biology, taught by Prof. Ron Weiss
• HST.S56 Mining Microbiomes: Fundamental Insights from Public Data, taught by Prof. Tami Lieberman

Expected Spring 2025

• 7.05 Biochemistry
• 20.310 Molecular, Cellular, and Tissue Biomechanics

MIT Undergraduate

(G) indicates graduate-level

Spring 2024

• 6.031/6.1020 Software Construction, taught by Prof. Robert Miller and Prof. Max Goldman
• 6.033/6.1800 Computer Systems Engineering, taught by Dr. Katrina LaCurts
• 7.URG Undergraduate Research in Biology, supervised by Prof. Lindsay Case, advised by Dr. Jibin Sadasivan
• 21G.111 Chinese Calligraphy, taught by Zhou Kang

IAP 2024

• Mathematics Directed Reading Program
  • Discussing Parametrized Algorithms, presented on Chapters 2 and 5 with Alek Westover and Tomasz Śalusarczyk [Slides]

Fall 2023

• 6.1910 Computation Structures, taught by Prof. Silvina Hanono Wachman
• 6.867/6.7900 Graduate Machine Learning (G), taught by Profs. Pulkit Agrawal, Stephen Bates, Tommi Jaakali, Shen Shen [Term Paper]
• 18.204 Undergrad Seminar in Discrete Math, taught by Dr. Melissa Sherman-Bennett
  • Presented on Chapter 31 of ‘Proofs from the Book’ by Aigner and Ziegler, discussing the coupon collector problem, top-in-at-random shuffles, strong uniform stopping rules, and the Gilbert-Shannon-Reeds model for riffle shuffles
  • Presented a mapping of Schubert polynomials to pipe dreams, as discussed by Bergeron and Billey (1993)
  • Term paper studying relationship between pipedreams and bumpless pipedreams
• 18.217 Combinatorial Theory (G), taught by Prof. Alexander Postnikov

Spring 2023

• 6.4550/21M.385 Interactive Music Systems, taught by Prof. Eran Egozy [Term Project]
• 6.S077 Introduction to Low-level Programming in C and Assembly, taught by Dr. Joseph Steinmeyer
• 18.100A Real Analysis, taught by Prof. Gigliola Staffilani
• 18.212 Algebraic Combinatorics, taught by Prof. Alexander Postnikov

Fall 2022

• 6.864/6.8610 Quantitative Natural Language Processing (G), taught by Profs. Yoon Kim and Chris Tanner [Term Project]
• 8.02 Physics II, taught by Prof. Peter Dourmashkin
• 24.906 Linguistic Study of Bilingualism, taught by Prof. Suzanne Flynn

Spring 2022

• 2.URG Undergraduate Research in Mechanical Engineering, supervised by Prof. Faez Ahmed, advised by Dr. Binyang Song
• 6.869/6.8300 Advances in Computer Vision (G), taught by Profs. Bill Freeman and Phillip Isola [Term Project]
• 18.06 Linear Algebra, taught by Prof. Steven Johnson
• 18.200 Principles of Discrete Applied Mathematics, taught by Prof. Michel Goemans and Prof. Ankur Moitra
• 21G.904 Korean IV, taught by Hee-Jeong Jeong

Fall 2021

• 6.046/6.1220 Design and Analysis of Algorithms, taught by Prof. Bruce Tidor
• 18.03 Differential Equations, taught by Prof. Jörn Dunkel
• 18.600 Probability & Random Variables, taught by Prof. Jonathan Kelner
• 21G.109 Chinese III (Streamlined), taught by Zhou Kang
• 21G.903 Korean III, taught by Hee-Jeong Jeong

Spring 2021

• 5.002 Viruses, Pandemics, Immunity, taught by Prof. Arup Chakraborty
• 5.12 Organic Chemistry, taught by Prof. Jeremiah Johnson
• 6.009/6.1010 Fundamentals of Programming, taught by Dr. Adam Hartz
• 6.036/6.3900 Introduction to Machine Learning, taught by Prof. Leslie Kaelbling
• 6.152/6.2600 Micro/Nano Processing Technology, taught by Prof. Jesus Del Alamo

IAP 2021

• 21G.901 Korean I, taught by Hee-Jeong Jeong

Fall 2020

• 5.112 Principles of Chemical Science, taught by Prof. Sylvia Ceyer
• 6.006/6.1210 Introduction to Algorithms, taught by Prof. Julian Shun
• 8.01 Physics I, taught by Prof. Joseph Formaggio
• 12.000 Solving Complex Problems [class-wide term project]
• 21.06 Bioethics, taught by Prof. Robin Scheffler

Advanced Standing Exams (Fall 2020)

• 18.01 Calculus I
• 18.02 Calculus II
• 7.012 Introductory Biology
• 6.0001/6.100A Introduction to Computer Science Programming in Python