Summary
Eric Kuo is a data scientist at Nike with 12 years of experience blending rigorous academic training (PhD in Computer Science, MEng and BS in Mathematics from MIT) with practical engineering across modeling, simulation, and software development. He has a strong algorithmic foundation demonstrated by a widely cited undergraduate proof and a history of building simulation and physical-modeling tools at The MathWorks, Northrop Grumman, and startups. At Nike (and previously Celect) he applies statistical modeling, machine learning, and software engineering in production settings, coding in C/C++/C#/Matlab and Python. He is motivated by finding patterns in data and turning those insights into actionable strategies, especially in complex systems and simulation-heavy domains. Outside work he is an avid reader and choral singer, bringing a disciplined, interdisciplinary curiosity to both technical problems and team collaboration.
12 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of California, Berkeley
Data Science, Data Science at General Assembly
Master of Engineering (M.Eng.), Computer Science, Master of Engineering (M.Eng.), Computer Science at Massachusetts Institute of Technology