Summary
Asic Chen is a research engineer and first-year PhD student at the University of Toronto with a decade of experience applying ML and software engineering to real-world problems. Currently at Google DeepMind, Asic has worked on embodied AI agents and built evaluation frameworks for machine unlearning, blending rigorous research with production-minded engineering. Prior roles span fintech analytics at TD, developer and data science internships at RBC and IBM, and a startup co-founder stint where he took an MVP and business model through an incubator and municipal pitches. He graduated with a 3.95 GPA in Computer Science (AI & Scientific Computing) and brings strong statistical rigor to systems work—evident from performance analysis and evaluation-focused projects. Comfortable shifting between prototyping, research, and scalable implementation, he favors problems that connect algorithmic novelty with measurable impact. An understated strength is his track record of translating academic insight into pitched products and engineering deliverables across industry and research settings.
10 years of coding experience
2 years of employment as a software developer
Ontario Secondary School Diploma, 98%, Ontario Secondary School Diploma, 98% at Lakefield College School
Bachelor of Science (B.Sc.), Computer Science Specialist - Artificial Intelligence and Scientific Computing, cGPA: 3.95/4.00, Bachelor of Science (B.Sc.), Computer Science Specialist - Artificial Intelligence and Scientific Computing, cGPA: 3.95/4.00 at University of Toronto
English, Chinese