Short Bio
I am an Assistant Professor in the Department of Computer Science at Purdue University. Prior to joining Purdue, I was a Research Assistant Professor at Toyota Technological Institute at Chicago (TTIC).
I completed my Ph.D. and M.S. in Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign (UIUC) advised by Prof. Alexander Schwing and Prof. Minh Do. I received my B.S. degree in Electrical Engineering from UIUC working with Prof. Mark Hasegawa-Johnson. I have interned several times at Google, working with Aseem Agarwala, Jonathan Huang, and Kevin Murphy.
I am interested in research at the intersection of machine learning and computer vision. My work focuses on developing algorithms for learning and designing effective generative and perceptual models across diverse domains. Recently, my research has expanded beyond task performance to emphasize safety, reliability, and robustness guarantees.
To prospective students. We are looking for highly motivated and talented students! (Fall 2026)
Thank you for your interest in joining! Due to the high volume of emails, I am unable to respond to everyone.
To get a sense of what we work on, read at least three papers for which I am the first or last author then follow the instructions below.
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To prospective Ph.D. students NOT at Purdue:
- Apply to Purdue Computer Science Graduate Program and list my name in the application.
- There is no need to email me unless you have specific topics/interests that fits my group. Keep it brief. Finally, list which of the three papers you have read.
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To prospective Ph.D. students at Purdue:
- Email me your CV, transcript, research experience, and a topic of interest. Explain why your background is suitable and how it fits in the group. Keep it brief. Finally, list which of the three papers you have read.
- Make sure to have communicated with the current/initial adivsor that you intended to work with me and include the advisor's name in the email.
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To master/undergraduate students at Purdue:
- Email me your CV, transcript, time commitment, e.g., 15 hours per week for six months, and how you plan to be involved. Finally, list which of the three papers you have read.