Hojae Lee

Hojae Lee is a Ph.D. student in Electrical Engineering and Computer Science (EECS) at the University of Michigan, Ann Arbor.13 He is currently working as a Graduate Student Research Assistant under the supervision of Professor Josh Welch.12

Research Focus

Hojae's thesis research primarily focuses on Deep Generative Modelling.1 His areas of interest include:

• Deep Learning
• Bioinformatics
• Single Cell Genomics4

Academic Background

Hojae began his Ph.D. program at the University of Michigan in August 2018.2 Prior to his doctoral studies, he worked as a research assistant at Stanford University for two years.5

Achievements and Involvement

• NSF Graduate Research Fellowship: Hojae is a recipient of this prestigious fellowship.5
• Girls Who Code: He is involved with the Girls Who Code program at the University of Michigan.5
• Research Presentations: Hojae has presented his work on Convolutional Neural Networks for Learning Representations of Cellular State at the MIDAS Symposium.6

Online Presence

Hojae maintains an active online presence to share his research and connect with other professionals in his field:

• Personal Website: www.hojaeklee.com
• LinkedIn: His profile can be found under the username hojae-lee-ba6b9944
• Google Scholar: He has a verified Google Scholar profile showcasing his academic publications.4
• Twitter: Hojae shares updates about his research and interests on Twitter under the handle @hojaeklee.7

Hojae Lee's research at the University of Michigan is contributing to advancements in deep learning applications for bioinformatics and single-cell genomics, positioning him as an emerging researcher in these cutting-edge fields.