About me
I'm currently a 4th year Ph.D Student in Cornell CS
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
UC Berkeley, BA
2011-2015, Magna Cum Laude
Cornell University, Ph.D
2015-Present
Research Interests
Local and Global Optimization
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.
Gaussian Processes
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
Numerical Linear Algebra has always been important, even more so now that modern machine learning algorithms require NLA tools to scale well.
HPC
I'm interested in parallel algorithms, especially with respect to numerical linear algebra. I know a little bit about high performance networking, too.
Papers
Scaling Gaussian process regression with derivatives (Poster)
David Eriksson, Kun Dong, Eric Hans Lee, David Bindel, Andrew Wilson
NIPS 2018
Identifying contingencies in power systems using time domain dynamics
Eric Hans Lee, David Bindel
Unsubmitted, planned for IEEE Transactions on Power Systems
Improving upon mode-to-mode comparisons in MDOF systems: the modal assurance fit
Eric Hans Lee, David Bindel
Unsubmitted
Newton ellipsoid method and its polynomiography
Eric Hans Lee, Bahman Kalantari
Journal of Mathematics and the Arts
Posters & Presentations
Validating eigenvalues and eigenvectors
Eric Hans Lee, David Bindel
SIAM ALA 2018, Hong Kong
Recursive serial and parallel QR factorization
Eric Hans Lee
Cray 2017, Bloomington, MN
Writing advanced MATLAB code
Cornell SSW, March 2017
Identifying contingencies in power systems
Student Brown Bag, Febuary 2017
Numerical software engineering
Cornell SSW, Febuary 2017
Unix for Windows users
Cornell SSW, September 2016
Solving systems of polynomial equations
DIMACS REU, August 2014
Teaching
CS 4850, Mathematical Foundations for the Information Age
Cornell Spring 2018
CS 5220, Applications of Parallel Computing
Cornell Fall 2017
CS 4850, Mathematical Foundations for the Information Age
Cornell Spring 2017
CS 5220, Applications of Parallel Computing
Cornell Fall 2015
Math 16A, Introduction to Calculus 1
Spring 2015, UC Berkeley