Youngtak Sohn
Scholar

Youngtak Sohn

Google Scholar ID: R4dvN4oAAAAJ
Assistant Professor, Brown University
Citations & Impact
All-time
Citations
477
 
H-index
10
 
i10-index
11
 
Publications
20
 
Co-authors
11
list available
Contact
Resume (English only)
Academic Achievements
  • Published numerous papers in areas such as high-dimensional statistics, random constraint satisfaction problems, statistical inference on random graphs, and spin glass theory. Some of these papers have been published or are to be published in prestigious conferences (e.g., STOC, COLT) and journals (e.g., Annals of Statistics, Communications in Mathematical Physics).
Research Experience
  • Previously a postdoctoral researcher in the Mathematics Department at MIT, working with Elchanan Mossel and Nike Sun as part of the NSF/Simons program 'Collaborations on Theoretical Foundations of Deep Learning'.
Education
  • PhD in Statistics from Stanford University, advised by Amir Dembo; BSc from Seoul National University.
Background
  • Research interests include high-dimensional statistics, random constraint satisfaction problems, statistical inference on random graphs, and spin glass theory. Currently an Assistant Professor in the Division of Applied Mathematics at Brown University.