Academic Profile : Faculty

Asst Prof Zhang Mengmi.jpg picture
Asst Prof Zhang Mengmi
Nanyang Assistant Professor, College of Computing & Data Science
 
Dr. Mengmi Zhang is a tenure-track Nanyang Assistant Professor from College of Computing & Data Science at Nanyang Technological University, Singapore. She is also holding a joint appointment as a senior scientist and principal investigator in Agency for Science, Technology and Research (A*STAR), Singapore. Prior to this, Dr. Zhang was a postdoc with Gabriel Kreiman at Harvard Medical School and she was also affiliated with Center for Brains, Minds, and Machines at MIT (2019-2021). She obtained her PhD at the National University of Singapore (2015-2019) and was a visiting graduate student in KreimanLab at Harvard Medical School (2017-2018).

Dr. Zhang’s research background is at the intersection of artificial intelligence and computational neuroscience. She has made contributions to understanding gaze anticipation, zero-shot visual search, contextual reasoning, working memory, and continual learning. Dr. Zhang and her team are looking into how brain computations inspire new paths in AI and how AI can help elucidate brain computations.

Dr. Zhang’s works have been published in top-tier AI venues, such as NeurIPS, AAAI, CVPR, ICCV, TPAMI, and TNNLS, as well as prestigious science journals, such as Nature Communications, Nature Human Behaviour, and PLOS Computational Biology.

Dr. Zhang is an awardee of the National Research Foundation Fellowship. She is also the recipient of Singapore 100 Women in Tech accolade. Throughout her college and PhD studies, she was the recipient of many government and school scholarships, such as National University of Singapore Undergraduate Scholarship, Harvard Brain Initiative Young Scientist Development Scholarship, A*STAR Graduate Scholarship and A*STAR Postdoctoral Fellowship.
Dr. Zhang’s research background is at the intersection of artificial intelligence and computational neuroscience. She has made contributions to understanding gaze anticipation, zero-shot visual search, contextual reasoning, working memory, and continual learning. Dr. Zhang and her team are looking into how brain computations inspire new paths in AI and how AI can help elucidate brain computations.
 
  • AISG research grant: Memory-Efficient Online Continuous Object Recognition on Video Streams
  • NRF Fellowship: What AI Cannot Do but Humans Can: Closing Gaps in Visual Search Efficiency between AIs and Humans with Neuroscience-Inspired Approaches
Courses Taught
SC2103 - Digital Systems Design