akoratana

Introduction

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

Speaking

• 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) 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

Contact Me

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)