About me

I am advised by David Bindel. My committee also includes Ken Birman and Peter Frazier. My current research focuses on numerical problems in optimization, Gaussian processes, and optimal control. I'm a fan of sweets that aren't too sweet, as can be seen on the left.

Education

2011-2015, Magna Cum Laude

2015-Present

Research Interests

The most famous example of kernel based optimization is Bayesian optmization. I'm interested in augmenting classic optimization algorithms, such as BFGS, with kernel methods.

There are many important numerical considerations when trying to get Gaussian processes to scale past cubic complexity. I'm interested in fast methods and solvers.

Numerical Linear Algebra has always been important, even more so now that modern machine learning algorithms require NLA tools to scale well.

I'm interested in parallel algorithms, especially with respect to numerical linear algebra. I know a little bit about high performance networking, too.

Papers

David Eriksson, Kun Dong, Eric Hans Lee, David Bindel, Andrew Wilson

NIPS 2018

Eric Hans Lee, David Bindel

Unsubmitted, planned for IEEE Transactions on Power Systems

Eric Hans Lee, David Bindel

Unsubmitted

Eric Hans Lee, Bahman Kalantari

Journal of Mathematics and the Arts

Posters & Presentations

Eric Hans Lee, David Bindel

SIAM ALA 2018, Hong Kong

Eric Hans Lee

Cray 2017, Bloomington, MN

Cornell SSW, March 2017

Student Brown Bag, Febuary 2017

Cornell SSW, Febuary 2017

Cornell SSW, September 2016

DIMACS REU, August 2014

Teaching

Cornell Spring 2018

Cornell Fall 2017

Cornell Spring 2017

Cornell Fall 2015

Spring 2015, UC Berkeley