Kevin Stangl

Hello! This is the homepage for Kevin Stangl. I am a graduate student in computer science advised by Professor Avrim Blum at the Toyota Technological Institute at Chicago. I am most interested in statistical learning theory. My most recent project considers how biased data interacts with fairness constraints. My email is my first name at ttic dot edu.

I went to UCLA for my undergraduate work in applied mathematics and took coursework primarily in probability theory, machine learning, and algorithms.

I frequently spill coffee while walking on this bridge.

Publications: Here is my ArXiv

Teaching Experience:

TA: Fall 2019, TTIC 31020 Introduction to Machine Learning
TA: Winter 2019, TTIC 31010 / CMSC 37000 Algorithms
TA: Summer 2018, Introduction to Machine Learning Summer School

Awards:

TTIC Outstanding TA Award, 2019

Undergraduate Projects: During the summers as an undergrad I participated in two REUs, one at UCLA and one at Purdue. At UCLA I studied compressed sensing for longitudinal MRI with Professor Deanna Needell. At Purdue I worked on non-Markovian random walks with Professor Jonathon Peterson.