Summary
Saumik Narayanan is a PhD candidate in Computer Science at Washington University in St. Louis with 11 years of experience designing and researching human-AI interaction. His background blends rigorous academic research—co-authoring a CSCW paper from work at GroupLens—and practical industry impact from internships and roles at Microsoft, Amazon, and SIFT. He has shipped automation and data-processing solutions that reduced manual work and improved extraction efficiency, and has applied sensor and civic data methods to real-world urban planning problems. Saumik’s research trajectory pairs applied systems experience with user-centered evaluation, reflecting a rare comfort shifting between production engineering and empirical HCI studies. Based in Missouri, he brings NSF- and UROP-funded research experience and a track record of turning large, messy datasets into publishable insights. Notably, his internship at Amazon automated ELB update workflows, turning days of manual toil into a few hours of repeatable cloud operations.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Minnesota
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Washington University in St. Louis
Eagan High School