Hello! I am a Mathematics PhD at the Courant Institute of Mathematical Sciences at NYU. My research interests surround developing high-order numerical methods and their applications modeling natural phenomena and engineering environments.
I studied mathematical engineering at Stanford during my MS, and mathematics from Georgia Tech and UC Berkeley in undergrad. In the past, I have been fortunate to work with Mitsubishi Electric, NASA Supercomputing, Julia Computing, and various university labs. A short CV can be found here.
I have primarily worked in numerical mathematics, parallel programming, and data science.
Check out the source code for this website!
08.06.2025
Interned at Mitsubishi Electric in Sendai (via UCLA IPAM & Tohoku MathCCS)
06.20.2025
Attended UH Manoa Computational Summer Intensive
04.15.2023
Accepted NYU Courant PhD offer in Mathematics
04.16.2023
Awarded NumFocus grant to develop documentation for CVXPY convex optimization library
04.05.2023
Funded through CA position for CS 246: Graduate Mining Massive Datasets
11.28.2022
Funded through CA position for CS 448B: Graduate Data Visualization
09.30.2022
Funded through CA position for CS 149: Parallel Programming
04.15.2022
Accepted Stanford MS Offer in ICME
03.15.2022
Recieved Rice PhD Offer, Stanford, NYU, UW MS Offers
2023-Now
New York University
PhD Mathematics
2022-2023
Stanford University
MS Computational and Mathematical Engineering
2020-2022
Georgia Tech
BS Mathematics
2018-2020
UC Berkeley
2025-Present
Teaching Assistant, Grader, Department of Mathematics
2025
Mitsubishi Electric
Research Intern (UCLA/Tohoku GRIPS)
2022-2023
Course Assistant, Department of CS
2021-2022
Modeling and Simulation Intern, JuliaSim
2021-2022
Teaching Assistant, Department of CSE
Course Grader, Department of Mathematics
2020-2021
Research Associate, Computational Aerosciences
2019-2021
Course Reader, Department of Mathematics
Research Assistant, Department of EECS
2018-2019
University of Arizona
Research Assistant, Department of Bioengineering
New York University
Fa 2025
Math-UA 131
Teaching Assistant, Math for Economics I (x2) †
Sp 2025
Math-GA 2020
Grader, Numerical Methods II *
Stanford University
Sp 2023
Course Assistant, Mining Massive Datasets * †
Wi 2023
Course Assistant, Data Visualization *
Au 2022
Course Assistant, Parallel Computing †
Georgia Institute of Technology
Sp 2022
Math 6321
Grader, Complex Analysis *
Sp 2022
Head Teaching Assistant, Graduate Data and Visual Analytics * †
Fa 2021
CSE 6242
Teaching Assistant, Data and Visual Analytics * †
UC Berkeley
Fa 2021
Math 121A
Grader, Mathematical Methods for Physical Sciences
Sp 2021
Grader, Mathematical Methods for Physical Sciences
Fa 2020
Grader, Introduction to Complex Analysis
* Graduate Course † 100+ Students
ed.chen [at] cims [dot] nyu [dot] edu
Website
edhschen [dot] info
Last Update
Sep 02, 2025