Summary
Minh Dao is a Computer Science student and UR2PhD researcher at the University of South Florida with 11 years of hands-on experience applying AI to scientific problems. He develops and benchmarks state-of-the-art generative and structural biology models—recently evaluating AlphaFold3 for intrinsically disordered protein prediction—while contributing ML research at Moffitt Cancer Center and a computational biophysics lab. Proficient with PyTorch, Hugging Face, AWS, and deployment tools like Flask, he blends deep learning engineering with domain-focused research in healthcare, cancer, and protein analysis. Minh also brings practical teaching and mentorship experience, leading recitations for large undergraduate courses and supporting calculus learners. Comfortable bridging research and production, he has applied generative models in both academic and industry internships, including fine-tuning diffusion models for challenging image synthesis tasks.
11 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of South Florida
High School Diploma, Physics, High School Diploma, Physics at Hanoi-Amsterdam High School for the Gifted