Summary
Yan Huang is an Associate Professor at Indiana University with 14 years of experience at the intersection of computer security, privacy, and applied cryptography, grounded in strong foundations in programming languages, data mining, and AI. His academic trajectory—PhD work on efficient secure computation at the University of Virginia and research roles at the University of Maryland—drives a research portfolio focused on practical, provable solutions for secure systems. He blends deep theoretical expertise with hands-on software experience dating back to industry internships at Autodesk, enabling research that is both implementable and performance-conscious. Based in Bloomington, Indiana, he is known for translating cryptographic ideas into usable tools and for cross-disciplinary work that leverages machine learning and programming-language techniques to advance privacy-preserving computation.
14 years of coding experience
2 years of employment as a software developer
Master's degree, Computer science and engineering, Master's degree, Computer science and engineering at Zhejiang University
Master's degree, Computer Science, Master's degree, Computer Science at University of Virginia
English, Chinese