Summary
Nelson Chen is a PhD candidate and graduate research assistant at Rutgers University with a decade of experience bridging computational mechanics, data science, and robotics. His work focuses on differentiable simulation for robotics under co-advisors Mridul Aanjaneya and Kostas Bekris, building on earlier CFD research at UC Berkeley and Northwestern that produced numerical methods to stabilize and accelerate simulations. Prior industry roles as a senior data scientist at WorkFusion and Argo Group sharpened his applied ML and production analytics skills, while R&D internships at Ethicon exposed him to hands-on experimental validation and FEA. Nelson combines deep theoretical training in mechanical and computational engineering with practical data-driven deployment experience, making him adept at turning complex physics models into usable tools for robotics and industry. Colleagues note his ability to move between high-performance numerical methods and scalable data science pipelines—a blend that informs his research direction.
9 years of coding experience
9 years of employment as a software developer
Master’s Degree, Mechanical Engineering, Master’s Degree, Mechanical Engineering at University of California, Berkeley
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at Northwestern University
Stuyvesant High School
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Rutgers University