Academic Profile : Faculty
Dr Alvin Chan’s research interests centre around making AI technologies safe and beneficial for humanity. These encompass topics such as deep learning for medical applications, adversarial learning and generative modelling.
Awarded with the MOE START (Singapore Teaching and Academic Research Talent) fellowship, Dr Alvin Chan is now a postdoctoral associate at Massachusetts Institute of Technology and Brigham & Women's Hospital. He is currently focusing on using deep learning technologies to enhance drug delivery applications. He graduated with a Computer Science Ph.D. from Singapore’s Nanyang Technological University in 2021, supported by the prestigious Nanyang President's Graduate Scholarship (NPGS).
He has contributed several publications in premier deep learning venues such as NeurIPS, ICLR, CVPR and ACL.
Awarded with the MOE START (Singapore Teaching and Academic Research Talent) fellowship, Dr Alvin Chan is now a postdoctoral associate at Massachusetts Institute of Technology and Brigham & Women's Hospital. He is currently focusing on using deep learning technologies to enhance drug delivery applications. He graduated with a Computer Science Ph.D. from Singapore’s Nanyang Technological University in 2021, supported by the prestigious Nanyang President's Graduate Scholarship (NPGS).
He has contributed several publications in premier deep learning venues such as NeurIPS, ICLR, CVPR and ACL.
Generative Models, Adversarial Learning, Computational Biology, Deep Learning