Summary
Shaurya Gaur is a PhD candidate and AI researcher with nine years of cross-disciplinary experience spanning human-computer interaction, software engineering, and machine learning applied to real-world problems. He holds a Cum Laude MSc in Artificial Intelligence (Radboud) and an Honors BS in Computer Science (Oregon State), and has interned at CMU, eBay, and PNNL where he built scalable data pipelines, visualization tools, and production-ready ML deployments. His research focuses on human-centric, explainable, and fair AI systems—evaluating XAI methods for crop disease detection and fairness in medical imaging—and he now explores software architectures that make AI collaborative, adaptive, and responsible. Having grown up in India and the U.S. and volunteering in civil discourse, he brings a global, multidisciplinary perspective that blends technical rigor with concern for societal impact.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Vrije Universiteit Amsterdam
Master of Science - MS, Artificial Intelligence, 8.54 / 10 in Dutch System (Cum Laude), Master of Science - MS, Artificial Intelligence, 8.54 / 10 in Dutch System (Cum Laude) at Radboud University
Honors Bachelor of Science - HBS, Computer Science, 4.0 GPA, Honors Bachelor of Science - HBS, Computer Science, 4.0 GPA at Oregon State University Honors College
Valedictorian, Advanced Honors Diploma, 4.0 Unweighted GPA, Valedictorian, Advanced Honors Diploma, 4.0 Unweighted GPA at Sherwood High School