School of Engineering
Showing 21-30 of 48 Results
-
Sharon Y. Li
Postdoctoral Research Fellow, Computer Science
BioSharon Y. Li completed her PhD from Cornell University in 2017, where she was advised by John E. Hopcroft. Her thesis committee members are Kilian Q. Weinberger and Thorsten Joachims. Her principal research interests are in machine learning and representation learning. In particular, her recent research focuses on designing machine learning models to enable more generalizable and reliable representations for complex visual data, in settings where strong human supervision is either present or absent. Prior to Stanford, she has spent time at Google Research twice as an intern, and at Facebook AI as a Research Scientist. She was selected as one of the "Rising Stars in EECS" by Stanford University in 2017. She is the recipient of ACM-W Scholarship, D.E.Shaw Exploration Fellowship and Cornell Graduate Research Fellowship.
-
Or Litany
Postdoctoral Research Fellow, Computer Science
BioI am a post-doctoral researcher at FAIR, and Stanford University; working under Prof. Jitendra Malik and Prof. Leonidas Guibas. Previously, I was a post-doc at the Technion and a research intern at Google, Intel and Microsoft Research. I received my PhD from Tel-Aviv University, where I was advised by Prof. Alex Bronstein. I received my B.Sc. in Physics and Mathematics from the Hebrew University under the auspices of “Talpiot”.
My research interests include: 3D deep learning, computational shape analysis and representation learning. -
Kyle Mahowald
Postdoctoral Research Fellow, Computer Science
BioI am a postdoctoral researcher in computer science and linguistics at Stanford University, working with Dan Jurafsky. I graduated from Ted Gibson’s psycholinguistics lab in MIT's Brain and Cognitive Sciences department. Before that, I was a Marshall Scholar at Oxford University studying linguistics with Mary Dalrymple and Aditi Lahiri. And before that I was an undergrad in English at Harvard
I am interested in the cognitive and computational structure of the lexicons of world languages, NLP, the relationship between communicative efficiency and natural language, historical English, language neuroimaging, and the interplay between language and literature. I also have interests in quantitative methods in language research and psychology more generally.
