Summary
Alvin Heng is a quantitative researcher and PhD candidate-turned-practitioner based in Singapore, blending eight years of research and software experience across academia and industry. He completed advanced studies in physics and computer science at the University of Toronto and National University of Singapore, applying theoretical rigor to data-driven model design. His roles span internships at A*STAR and SpeQtral, a visiting appointment at the Kavli Institute, and a current quantitative research position at WorldQuant, reflecting fluency in both foundational science and production research workflows. Known for bridging physics-based thinking with statistical and computational methods, he focuses on turning complex hypotheses into testable, deployable strategies. Colleagues describe him as comfortable navigating deep theory and pragmatic engineering—equally at home deriving models and implementing them for live research environments.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science Physics, Bachelor of Science Physics at Nanyang Technological University Singapore
Master of Science - MS Physics, Master of Science - MS Physics at University of Toronto
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at National University of Singapore