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.