I studied computer science @ Stanford University. I'm broadly interested in building systems that use data to enable new interfaces to everyday processes.
At PlayerZero, I'm working on building a new platform to operationalize product quality.
At Stanford, I am a part of the Stanford DAWN initiative, working on building accessible and scalable data-intensive machine learning systems. My work here is being advised by Prof. Peter Bailis, Prof. Matei Zaharia, and Daniel Kang.
Publications & Projects
LIT: Learned Intermediate Representation Training for Model Compression
Animesh Koratana, Daniel Kang, Peter Bailis, Matei Zaharia. ICML 2019. & NeurIPS CDNNRIA Workshop 2018. (code)
Perceived Attitudes About Substance Use in Anonymous Social Media Posts Near College Campuses
Alexis S. Hammond, Michael J. Paul, Joseph Hobelmann, Animesh Koratana, Mark Dredze, Margaret S. Chisolm.
Studying Anonymous Health Issues and Substance Use on College Campuses with Yik Yak
Animesh Koratana, Mark Dredze, Margaret S. Chisolm, Matthew W. Johnson, Michael J. Paul
Unsupervised Knowledge Base Construction from Streaming Unstructured Text Data 2016 Intel ISEF Project
Speaking & Honors
AAAI-Joint Workshop on Health Intelligence
Accenture World Digital Innovations Conference
Guest Lecturer: Georgia State University
Best Stanford CS Undergraduate Research (CURIS) Poster Award
Third Grand Award Winner at the Intel International Science and Engineering Fair (ISEF)
Georgia Science & Engineering Fair 2016 Grand Prize Winner, Pinnacle Award (top award) Winner
Yale Science and Engineering Award (YSEA)
Intel Excellence in Computer Science Award
Winner of Fulton County Science & Engineering Fair
Georgia Governors Honors Program Finalist
I love to do many other things too! I love swimming, biking, building robots, and working on interesting projects. (I'm probably doing one of those right now)