Jeremy Kun

Personal

Name Jeremy Kun
Research summary I am a theoretical computer scientist with broad interests, including complexity theory, graph theory and network science, learning theory, combinatorics, and geometry. My research to date focuses on theoretical and applied graph theory. I currently work as a backend engineer at 21 Inc.
Email jeremy /at/ 21.co
Webpage https://jeremykun.com

Education

2011 - 2016
Ph.D in Mathematics
University of Illinois at Chicago. Expected 2016.
2007 - 2011
B.S. in Mathematics, Minor in Computer Science
California Polytechnic State University. Magna Cum Laude.
2010
Budapest Semesters in Mathematics. Graduated with honors.

Work Experience

2016 - present
Backend Engineer. 21 Inc.
Built the Django backend for a task marketplace, including surveys, branching task pipelines, and automated reviews. Additional roles building an elasticsearch integration, doing ad hoc data science, maintaining an open-source bitcoin wallet (two1-python), and a mobile developer.
2013 - 2014
Graduate Research Assistant. MIT Lincoln Laboratory.
Research on graph representation learning, data mining on large networks. Proved theorems, designed algorithms, ran experiments, and wrote technical research papers.
2011 - 2013
Graduate Teaching Assistant. University of Illinois at Chicago.
Taught calculus and introductory computer science.
2008 - 2009
Junior Developer. CreateSpace On-Demand Publishing.
Designed and developed a new accounting gateway infrastructure for a growing tech start-up, including writing thousands of lines of Java and SQL. Completed a technical writing training program.
Summer 2005 - 2007, Summer 2010
Camp Counselor. Adventure Day Camp.
Child care ages 4-11.

Contract Work

2014 - 2015
Technical Reviewer, Doing Math with Python. No Starch Press.
Publication date: 2015-05-25
2012 - Present
Webmaster, QED Math Symposium. Chicago Public Schools.

Professional Programs

June 2014
Network Science Week. American Mathematical Society Mathematics Research Community.
Received mentoring, engaged in research to attack open problems, and developed new collaborations.
Summer 2013
Ph.D Student Intern. MIT Lincoln Labs.
Research on machine learning in large graphs.
Summer 2012
Ph.D Student Intern. Lawrence Livermore National Laboratory.
Data mining research in wind energy and plasma physics.
Summer 2009
Software Developer Intern. Amazon.com.
Worked on the message-passing framework in a million-line service-oriented C++ architecture which regulated inventory in all of Amazon's warehouses.

Programming

Portfolio
Top Language
Python
Competent Languages
Python, Java, C, C++, Haskell, Racket, HTML/CSS, Mathematica, Javascript/Node/ES6
Familiar Languages
R, Perl, Bash, PHP, SQL

Publications

2016
Graphs, New Models, and Complexity. Jeremy Kun. The University of Illinois at Chicago.
2016
A Confidence-Based Approach for Balancing Fairness and Accuracy. Benjamin Fish, Jeremy Kun, Adam Lelkes. SIAM International Symposium on Data Mining.
2016
Interception in Distance-Vector Routing Networks. David Burstein, Franklin Kenter, Jeremy Kun, Feng Shi. Journal of Complex Networks.
2015
On the Computational Complexity of MapReduce. Benjamin Fish, Jeremy Kun, Adam Lelkes, Lev Reyzin, Gyorgy Turan. International Symposium on Distributed Computing.
2015
Network Installation Under Convex Costs. Alexander Gutfraind, Jeremy Kun, Adam Lelkes, Lev Reyzin. Journal of Complex Networks.
2015
Fair Boosting: a Case Study. Benjamin Fish, Jeremy Kun, Adam Lelkes. International Conference on Machine Learning Workshop on Fairness, Accountability, and Transparency in Machine Learning.
2015
Open Problem: Learning Quantum Circuits with Queries. Jeremy Kun, Lev Reyzin. Conference on Learning Theory.
2014
A Boosting Approach to Learning Graph Representations. Rajmonda Caceres, Kevin Carter, Jeremy Kun. SIAM International Conference on Data Mining Workshop on Mining Networks and Graphs.
2014
On Coloring Resilient Graphs. Jeremy Kun, Lev Reyzin. Mathematical Foundations of Computer Science.
2013
Anti-Coordination Games and Stable Graph Colorings. Jeremy Kun, Brian Powers, Lev Reyzin. Syposium on Algorithmic Game Theory.

Awards

2014
Dean's Scholar Award.
To provide the most distinguished, advanced-level graduate students with a period of time dedicated solely to the completion of their programs. Granted by University of Illinois at Chicago.
Monetary value of $25,000.
2015
Best Student Poster Award.
For the poster 'Information Monitoring in Routing Networks'. Granted by SIAM Network Science 15.
Monetary value of $100.
2011
Charles J. Hanks Excellence in Mathematics Award.
Demonstrated excellence and outstanding ability. Granted by California Polytechnic State University.
2010
Robert P. Balles Mathematics Award.
Highest GPA in mathematics coursework after three years. Granted by California Polytechnic State University.
2007
Eagle Scout Award.
Troop 234 of Moraga, CA. Granted by Boy Scouts of America.
2009
3rd Place in a Collegiate Regional Programming Contest.
Three-person team programming tasks. Granted by Association for Computing Machinery.
2007
Black Belt, First Degree.
Kang's Tae Kwon Do Academy. Walnut Creek, CA. Granted by World Tae Kwon Do Federation.

Other

Blog
In-depth presentation of technical topics with full implementations in code. As of February 2017: 236 published posts, 2000 word average post length, over 3.5 million page views since June 2011.