ksteph [at] cs.berkeley.edu
Computer Science PhD Student
360 Hearst Memorial Mining Bldg
UC Berkeley, 94720-1776
I am a Computer Science PhD student at UC Berkeley, started August 2010. My Master's research work is in computer networking with Vern Paxson. My PhD research interest lies at the intersection of education and computer science, mainly with data available in large classrooms (both local and MOOCs), and I am advised by Armando Fox. I sit in the Berkeley institute of Design (BiD) lab.
My specific research interest is on looking at the data from machine-gradeable assessments, with the goal to find interpretable data-driven insights that help instructors find ways to improve their course material.
I am the founder and former CS-coordinator of EECS Peers. A group dedicated to supporting fellow graduate students with grad school life. In 2012-2013 I served as the computer science co-president for WICSE. And I have I volunteered as a role model at Techbridge, an after school program to inspire girls in technology, science, and engineering.
I graduated summa cum laude from University of Maryland (UMD) receiving my B.S. in Computer Science. I dabbled in various research areas while at Maryland including: software engineering with FindBugs, artificial intelligence by applying genetic algorithms to swarm intelligence, and computer networking.
- Kristin Stephens-Marintez, An Ju, Colin Schoen, John DeNero,
Armando Fox. Identifying Student Misunderstandings using Constructed
Responses. Extended Abstract at Learning At Scale 2016. ACM L@S '16.
[extended abstract pdf]
- Kristin Stephens-Martinez, Marti A. Hearst, and Armando
Fox. 2014. Monitoring MOOCs: Which Information Sources Do Instructors
Value? ACM Learning At Scale 2014. ACM L@S
- Kristin Stephens, Shaddi Hasan, and Yahel
Ben-David. 2012. MultiWAN: WAN Aggregation for Developing Regions.
In Proceedings of the 2nd ACM Symposium on Computing for Development. ACM
DEV '12. (poster) [pdf]
- Brian Cole, Dan Hakim, Dave Hovemeyer, Reuven Lazarus, William Pugh, and Kristin Stephens. 2006. Improving your software using static analysis to find bugs. In Companion To the 21st ACM SIGPLAN Symposium on Object-Oriented Programming Systems, Languages, and Applications. OOPSLA '06. [pdf]
- (Master's report) Kristin Stephens. 2013. Towards Sound HTTP Request Causation Inference. EECS Department, University of California, Berkeley. UCB/EECS-2013-141
- University of CA, Berkeley
- CS61A The Structure and Interpretation of Computer Programs (Spring 2016, Teaching Assistant, Paul Hilfinger)
- CS61A The Structure and Interpretation of Computer Programs (Fall 2015, Teaching Assistant, John DeNero)
- CS194-25 Special topics: Building Your Next Generation Education Technologies (Fall 2012, Teaching Assistant/Co-Instructor, Dawn Song)
- EE122 Introduction to Communication Networks (Fall 2011, Teaching Assistant, Scott Shenker)
- University of MD, College Park
- Association for Computing Machinery
Honors and Awards
- Outstanding Graduate Student Instructor - UC Berkeley
- National Science Foundation Graduate Research Fellowship
- UC Berkeley Chancellor's fellowship
- Outstanding Undergraduate of 2009 for The College of Computational, Mathematical, and Physical Sciences (UMD)
- UMD CS Department Teaching Excellence Award for an Undergraduate Teaching Assistant
I post articles and interesting stuff I find on the Internet to my Google plus account.
My arts and craft hobbies can also be seen on my blog Hobby Sanity.