Dr. Jiashi Feng

Research Lead - TikTok

Dr. Jiashi Feng is currently a research manager at TikTok and is leading a fundamental research team. Before joining TikTok, he was an assistant professor with the Department of Electrical and Computer Engineering at National University of Singapore and a postdoc researcher in the EECS department and ICSI at the University of California, Berkeley. He received his Ph.D. degree from NUS in 2014. His research areas include deep learning and their applications in computer vision. He has authored/co-authored more than 300 technical papers on deep learning, image classification, object detection, and machine learning theory. His recent research interest focuses on foundation models, transfer learning, 3D vision and deep neural networks. He received the best technical demo award from ACM MM 2012, best paper award from TASK-CV ICCV'15, best student paper award from ACM MM 2018. He is also the recipient of Innovators Under 35 Asia, MIT Technology Review 2018. He served as area chair for NeurIPS, ICML, CVPR, ICLR, WACV, ACM MM and program chair for ICMR'17.

Dr. Pavitra Krishnaswamy

Principal Investigator & Deputy Division Head -
Institute of Infocomm Research, A*STAR

Pavitra Krishnaswamy is a Senior Scientist, Principal Investigator and Deputy Division Head at the Institute for Infocomm Research (I2R), Agency for Science Technology & Research (A*STAR), Singapore.

Her research focuses on advancing machine learning approaches to effectively leverage real-world patient data for diverse health intelligence applications. A recent focus is in addressing critical bottlenecks in scaling deep learning for clinical image analysis. Her team develops unsupervised, semi-supervised, self-supervised, active and representation learning methods, with a view to targeted screening, triage, retrieval and diagnostic applications.

Pavitra holds a PhD from the Massachusetts Institute of Technology (MIT) and Harvard Medical School, and completed a postdoctoral stint at the MIT Department of Brain and Cognitive Sciences, before moving to Singapore. She was nominated as a Future Leader of the Science and Technology in Society (STS) Forum in 2017, and named in the Singapore 100 Women in Technology List in 2021.   

Dr. Holger Roth

Senior Applied Research Scientist - NVIDIA

Holger Roth is a Sr. Applied Research Scientist at NVIDIA focusing on deep learning for medical imaging. He has been working closely with clinicians and academics over the past several years to develop deep learning based medical image computing and computer-aided detection models for radiological applications. He is an Associate Editor for IEEE Transactions of Medical Imaging and holds a Ph.D. from University College London, UK. In 2018, he was awarded the MICCAI Young Scientist Publication Impact Award.