Ed Chen.

computational science & maths

01. About

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!

02. Recent News

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

04. Education

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

05. Work

2025-Present

New York University

Teaching Assistant, Grader, Department of Mathematics

2025

Mitsubishi Electric

Research Intern (UCLA/Tohoku GRIPS)

2022-2023

Stanford University

Course Assistant, Department of CS

2021-2022

Julia Computing

Modeling and Simulation Intern, JuliaSim

2021-2022

Georgia Tech

Teaching Assistant, Department of CSE
Course Grader, Department of Mathematics

2020-2021

NASA Supercomputing

Research Associate, Computational Aerosciences

2019-2021

UC Berkeley

Course Reader, Department of Mathematics
Research Assistant, Department of EECS

2018-2019

University of Arizona

Research Assistant, Department of Bioengineering

07. Teaching

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

CS 246

Course Assistant, Mining Massive Datasets * †

Wi 2023

CS 448B

Course Assistant, Data Visualization *

Au 2022

CS 149

Course Assistant, Parallel Computing †

Georgia Institute of Technology

Sp 2022

Math 6321

Grader, Complex Analysis *

Sp 2022

CSE 6242

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

Math 121B

Grader, Mathematical Methods for Physical Sciences

Fa 2020

Math 185

Grader, Introduction to Complex Analysis

* Graduate Course     † 100+ Students

08. Contact

Email

ed.chen [at] cims [dot] nyu [dot] edu

Website

edhschen [dot] info

Last Update

Sep 02, 2025