Summary
Minh Le is a research scientist specializing in computer vision and deep learning with eight years of experience spanning academia and industry, now working on trust and alignment at Meta Superintelligence Labs. He completed a PhD-level trajectory at Sungkyunkwan University and has published in top venues like AAAI and ICCV, focusing on medical image detection, deepfake detection, image retrieval, facial representation learning, and model robustness. Minh has practical ML deployment experience from short-term roles at Amazon and applied projects at Unilever, and he brings hands-on teaching experience from multiple courses at SKKU. His international collaborations include research stints in Canada and Japan, and he has been recognized with awards such as the Potential Award at the Emotional Recognition Challenge 2019. Notably, he transitions fluently between foundational research and product-adjacent applied science, making him effective at turning novel models into impactful solutions.
8 years of coding experience
2 years of employment as a software developer
Computer Vision, Computer Vision at Tokyo University of Agriculture and Technology
Computer Science and Engineering, Computer Science and Engineering at Sungkyunkwan University
B.Sc, Mathematics and Computer Science, B.Sc, Mathematics and Computer Science at VNUHCM - University of Science
english, vietnamese