Summary
Amol Deshpande is a Professor and data management researcher with over a decade of experience working on scalable data science, graph data management, uncertain data, cloud computing, and adaptive query processing. He leads projects building a collaborative data science platform and a graph data management system while probing practical challenges in uncertain data. A PhD from UC Berkeley and long-term faculty at University of Maryland, he blends deep academic rigor with industry-facing impact through roles such as Chief Scientist and Co‑Founder of WireWheel, helping enterprises operationalize privacy and GDPR compliance. His background includes sabbatical collaborations at MIT CSAIL and early research stints at Intel and Bell Labs, reflecting a sustained focus on sensor networks and query optimization. Known for connecting theory to real systems, he frequently moves ideas from publications into tooling and startups. Based in Washington, DC, he brings a rare mix of foundational research and product-oriented execution in data-centric systems.
12 years of coding experience
8 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at University of California, Berkeley
Indian Institute of Technology Bombay