About

I studied computer science and economics @ 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 project, working on building accessible and scalable data-intensive machine learning systems. My work here is being advised by Peter Bailis, Matei Zaharia, and Daniel Kang.

Projects & Publications

• 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

• ICML 2019 Conference
• NeurIPS CDNNRIA Workshop 2018
• TEDx Atlanta
• AAAI-Joint Workshop on Health Intelligence
• Accenture World Digital Innovations Conference
• Guest Lecturer: Georgia State University

Honors

• Best Stanford CS Undergraduate Research (CURIS) 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

Contact me

Feel free to reach out to me at koratana at playerzero.ai.