Summary
Jerry Tang is a Quantum Optics Ph.D. candidate at the University of Toronto with nine years of interdisciplinary experience bridging experimental physics, computational electromagnetics, and software engineering. He co-authored work on differentiable FDTD methods for photonic inverse design and presented those minimal-memory techniques at CLEO and SPIE, demonstrating a rare combination of hands-on simulator development and optimization research. His internships span Harvard’s Capasso group, TRIUMF’s CERN-adjacent projects, and distributed systems work at Waterloo, reflecting fluency in C/C++, GPU acceleration, numerical methods, and scalable backend services. Jerry has shipped production-grade software in industry—maintaining microservices and web scrapers for hundreds of thousands of users—while also building physics-grade 1D–3D FDTD and diffraction simulators and ML frameworks for lens design. Based in Toronto, he pairs rigorous academic inquiry with practical engineering instincts, often trading between low-level performance tuning and higher-level algorithmic innovation.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of Toronto
Bachelor's degree, Honours Computer Science and Joint Honours Physics, Bachelor's degree, Honours Computer Science and Joint Honours Physics at University of Waterloo
Chinese, English, Shanghainese