Deepak Dennison is a PhD student and graduate research assistant at Cornell with nine years of interdisciplinary experience spanning AI for education, flow physics, and biophysics. He has built production AI tools at Stanford HAI—such as automated feedback for large-scale coding courses—and interned on research projects at Microsoft, demonstrating a strong research-to-product orientation. Deepak’s background blends engineering, design, and operations: he co-founded a local marketplace that drove measurable revenue growth, led tech-enabled transformations for a 1,200-student school during the pandemic, and helped scale low-cost makerspaces across India. Equally at home with building web and ML systems and with hands-on community impact, he brings a pragmatic, systems-thinking approach to problems that affect both learners and practitioners. Outside of research he’s a drummer and aviation enthusiast, a reminder that his curiosity extends beyond the lab.
9 years of coding experience
5 years of employment as a software developer
Young India Fellowship, Liberal Arts and Sciences/Liberal Studies, Young India Fellowship, Liberal Arts and Sciences/Liberal Studies at Ashoka University
Doctor of Philosophy - PhD, Computer and Information Sciences, General, Doctor of Philosophy - PhD, Computer and Information Sciences, General at Cornell University
Bachelor of Engineering (B.E.), Biomedical/Medical Engineering, Bachelor of Engineering (B.E.), Biomedical/Medical Engineering at SSN College of Engineering
Masters in Learning Design and Technology, Masters in Learning Design and Technology at Stanford University
Data analysis library for the gravity machine project
Contributions:1 release, 4 PRs, 34 pushes in 1 year 8 months
data-analysispythongravity
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