Current students and postdocs | Former
students | Prospective students
Commencement 2012
- Matt Raymond, PhD student (co-advised with Angela Violi)
- Jessica Jiang, PhD student (co-advised with Laura Balzano)
- Joshua George, PhD student
- Alex Ritchie, PhD 2026.
- Yilun Zhu, PhD 2026, now at Visa.
- Jianxin Zhang, PhD 2025, now at Meta.
- Yutong Wang, PhD 2022, now Asst. Prof. at Illinois Tech
- Aditya Gangrade, postdoc 2023, now Research Scientist at Boston University.
- Han Bao, visiting PhD student 2019 -> [click link]
- Julian Katz-Samuels, PhD 2019 -> Postdoc at U. Washington, then Amazon then Meta
- Aniket Deshmukh, PhD 2019 -> Microsoft
- Srinagesh Sharma, PhD 2018 (co-advised with James Cutler) -> Microsoft
- Hossein Keshavarz, PhD 2017 (co-advised with Long Nguyen) -> Postdoc
at U. Minnesota/IMA, now at General Motors.
- Efren Cruz Cortes, PhD 2017 -> Postdoc at UC Denver.
- Robert Vandermeulen, PhD 2016 -> postdoc at Humbolt University, Berlin.
- Harish Ramaswamy, visiting student/postdoc 2015 (jointly
mentored with Ambuj Tewari) -> MSR India, now Asst. Prof. at IIT Madras.
- Takanori Watanabe, PhD 2014 (co-advised with Chandra Sripada)
-> postdoc at UPenn.
- Joyce Liu, PhD 2013 (co-advised with Al Hero) -> postdoc at
Berkeley, now at UPenn.
- Gowtham Bellala, PhD 2011 -> HP Labs, now at Flipkart.
- JooSeuk Kim, PhD 2011 -> Samsung, now at Amazon.
- Gyemin Lee,
PhD 2011 -> postdoc in CSE at Michigan, now Professor, Seoul
National University of Science and Technology (SeoulTech).
- Hrithik Ravi, MS 2024 -> U. Wisconsin
- Alan van Omen, MS 2023 -> Sandia National Lab
- Yuren Zhong, MS 2021 -> Princeton
- Greg Handy, MS 2013 -> Univ. Utah
- Benjamin Schwartz, MS 2012 -> Qualcomm
- Tyler Sanderson, MS 2012 -> Google
If you are a prospective Ph.D. student who is
interested in working with me: I look for students with strong interest in developing
novel machine learning algorithms and proving theoretical guarantees for
such algorithms. My students typically study and apply advanced linear
algebra, multivariate statistics, numerical optimization, measure-theoretic
probability, functional analysis, and various other topics in
pure and applied mathematics. My students can also expect to gain
experience working with real-world data in the context of a particular
application. If this appeals to you, please submit an application to the
ECE program and indicate me as a faculty of interest.
If you are a current UM masters student looking to transition to the
PhD program, the first half of January is when I am typically considering new students. Please include an unofficial
transcript and resume.