Summary
Sourav Pal is a Senior Applied Scientist at Microsoft and a final-year PhD candidate in Computer Science at UW–Madison with roughly a decade of industry and research experience bridging rigorous mathematical theory and practical machine learning systems. His work blends deep analysis of differential equations and functional analysis with applied efforts in operator learning, machine unlearning, sequence modeling, efficient training, and generative models—translating theory into scalable algorithms. He has internship and product experience across Microsoft Research, Adobe, and earlier engineering roles that inform a strong applied mindset for production-grade ML. Based in Redmond, he pairs top-tier academic training (PhD candidate, IIT Kharagpur B.Tech) with hands-on implementation skills, often targeting scientific and safety-sensitive applications. An underappreciated thread in his profile is sustained focus on the mathematical foundations that enable more reliable and interpretable deep learning behavior in real-world settings.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Wisconsin-Madison
Bachelor of Technology (B.Tech.) Computer Science and Engineering, Bachelor of Technology (B.Tech.) Computer Science and Engineering at Indian Institute of Technology, Kharagpur