Summary
Grant Liu is a software development engineer and MSc candidate with a unique blend of computer science and neuroscience expertise, focused on applying ML and graph-based methods to medical imaging problems like ALS detection. He has nine years of experience spanning research, full-stack development, and industrial control software—including an internship whose real-time servo control system is deployed in China and a funded thesis project validated at major conferences. At the University of Alberta he developed lightweight neural models that matched CNN performance with under 1% of the compute and introduced a novel graph approach that improved classification accuracy by 7%, with papers under review. Comfortable from wet lab microbiology to production cloud services (now at AWS), he combines rigorous experimental practice, mentorship experience, and a practical engineering mindset that turns research prototypes into deployable systems.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Neuroscience, 3.7 GPA, Master of Science - MS, Computer Science, Neuroscience, 3.7 GPA at University of Alberta
English, Chinese