Summary
Sahil Agarwal is an applied mathematician-turned-founder with 11 years of experience building AI-driven ventures at the intersection of machine learning, human-technology optimization, and clean technologies. As Co-Founder & CEO of Enkrypt AI and Entrepreneur in Residence at Yale Ventures, he translates research-grade tools—many inspired by non-equilibrium statistical physics—into products that tackle real-world nonlinear and stochastic problems. His PhD work and over a decade of research produced more than 10 peer-reviewed publications and three patents, with coverage in outlets such as the American Physical Society and Yale news. Sahil’s background spans climate and geophysical applications to NLP, computer vision, and temporal analysis in text, music, and video, demonstrating unusual breadth across physical and digital domains. He combines deep theoretical fluency with startup pragmatism, often leveraging physics-inspired generative and noise-separation methods to turn complex signals into actionable insights.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Applied Mathematics, Doctor of Philosophy - PhD Applied Mathematics at University of Oxford
Bachelor of Technology - BTech Mathematics and Computing, Bachelor of Technology - BTech Mathematics and Computing at Indian Institute of Technology, Guwahati
Doctor of Philosophy - PhD Applied Mathematics, Doctor of Philosophy - PhD Applied Mathematics at Yale University
English, Hindi