Doctoral candidate, Zixuan Song, will defend her dissertation, Monday, June 27, 2022, at 2:00 p.m. in the 101A Crowley Commons Room.
The beginning portion is open to the public.
Title: MACHINE LEARNING METHODS FOR HIGH DIMENSIONAL DATA AND MULTIMODAL SINGEL-CELL DATA
Adviser: Jun Li
Examination Committee: Giuseppe Vinci, Xiufan Yu