Ed Chen.

computational science & maths

01. About

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 computational science and applied mathematics at Stanford during my MS, and from Georgia Tech and UC Berkeley in undergrad. In the past, I have been fortunate to work with NASA Supercomputing, Julia Computing, and various university labs.

I have primarily worked in numerical mathematics, parallel programming, data science, pure mathematics, and web development. Check out the source code for this website!

02. Recent News

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

02.07.2023

Recieved NYU Courant PhD Offer in Mathematics

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

2022-Now

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

Sp 2023

CS 246 (Stanford)

Course Assistant, Graduate Mining Massive Datasets

Wi 2023

CS 448B (Stanford)

Course Assistant, Graduate Data Visualization

Au 2022

CS 149 (Stanford)

Course Assistant, Parallel Computing

Sp 2022

Math 6321 (Georgia Tech)

Grader, Graduate Complex Analysis

Sp 2022

CSE 6242 (Georgia Tech)

Head Teaching Assistant, Graduate Data and Visual Analytics

Fa 2021

CSE 6242 (Georgia Tech)

Teaching Assistant, Graduate Data and Visual Analytics

Fa 2021

Math 121A (Berkeley)

Grader, Mathematical Methods for Physical Sciences

Sp 2021

Math 121B (Berkeley)

Grader, Mathematical Methods for Physical Sciences

Fa 2020

Math 185 (Berkeley)

Grader, Introduction to Complex Analysis

Math

Mathematical Methods Mathematical Programming Introductory Analysis Algebra FEM

Physics

Classical Mechanics Tensor Calculus

CS

Julia Fundamentals Database Systems Webdev

08. Contact

Email

edc.exclass [at] gmail [dot] com

Website

edhschen [dot] info

Last Update

Jan 18, 2023