Nan Wu
Scholar

Nan Wu

Google Scholar ID: OGamLEMAAAAJ
New York University, Center for Data Science
deep learningmulti-modal learningmedical imaging
Citations & Impact
All-time
Citations
2,253
 
H-index
14
 
i10-index
16
 
Publications
20
 
Co-authors
17
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Recipient of the Google PhD Fellowship 2020 in Machine Perception, Speech Technology, and Computer Vision. See the full list of papers here.
Research Experience
  • Before joining NYU, worked for two years in the Brain Function and Disease lab led by Prof. Xiaochu Zhang, contributing to the neurofeedback system powered by machine/deep learning models. Currently focusing on application and theoretical learning problems related to breast cancer screening.
Education
  • Undergraduate degree from the School of Gifted Young, University of Science and Technology of China, with a B.S. in Statistics and a B.A. in Business Administration. Currently a Ph.D. student at New York University, Center for Data Science.
Background
  • Research interests include multi-modal deep learning, knowledge graph, and responsible data science. Interested in various innovative AI applications and enjoys brainstorming and discussions with people from industry and academia.
Miscellany
  • Was a soccer team captain and studied boxing in college. Now a fan of Marie Kondo and eager to build up a personal life-organizing philosophy and methodology, starting with helping friends get organized. Hometown: Handan.