Working Experience

Google Research, July 2019-June 2020

Visiting Researcher
Manager: Vahab Mirrokni
I continue working on the huge-scale Linear Programming solver at Google.

Google Research, Oct 2018-April 2019

Student Researcher
Mentor: Miles Lubin, Natalia Ponomareva
I expanded the project on the huge-scale Linear Programming solver, and developed and implemented the Accelerated Gradient Boosting Machine for CART trees.

Google Research, Summer 2018

Research Intern
Mentor: Miles Lubin, David Applegate
In this internship, I designed and implemented a huge-scale Linear Programming solver using first-order methods. The solver is able to solve a Linear Programming problem with multi-billion non-zeros on a single machine, and has the potential to be implemented distributedly across thousands of machines.

Google, Summer 2017

Software Engineer Intern
Mentor: Vahab Mirrokni, Vineet Kahlon
In this internship, I developed new machine learning models for reserve price optimization of display advertisements in Google, which gained a 2.7% revenue lift compared with the production model. The models were put on production in 2018Q2.

IBM T.J. Watson Research Center, Summer 2016

Research Intern
Mentor: Andrew Conn
In this internship, I developed new distributed optimization methods to solve deep learning problems and conducted extensive computational testing on preliminary tasks.