Summary
Qicheng Lao is a multidisciplinary researcher and software engineer with 11 years of experience blending medicine, neuroscience, immunology, and deep learning to advance medical AI. Currently a Postdoctoral Fellow at Mila and a part-time researcher at Imagia, he focuses on multimodal deep learning and translational AI that bridges clinical data and imaging. His background includes building NLP pipelines and microservices for medical chat anonymization, machine understanding of legacy airline teletype data, and research on immune cell biology and neuronal trans-differentiation—skills that give him a rare end-to-end view from bench to production. Trained in medicine (Fudan), experimental medicine (McGill) and computer science (Concordia PhD), he combines top-tier academic rigor with practical engineering delivery. Notably, his career trajectory shows a conscious pivot from wet-lab immunology to machine learning for healthcare, enabling him to ask clinically grounded research questions that drive impactful AI products.
11 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree, Bachelor of Medicine, 3.58/4.00, Bachelor’s Degree, Bachelor of Medicine, 3.58/4.00 at Fudan University
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Concordia University
Master’s Degree, Master of Science in Experimental Medicine, 4.00/4.00, Master’s Degree, Master of Science in Experimental Medicine, 4.00/4.00 at McGill University