I am always looking for industry collaborators and new students!
I’m always excited to connect with new collaborators focused on making a positive impact. I have previously worked in supply-chain, analytics, healthcare, finance and with some non-profit, and government agencies.
Please send me an email to schedule a meeting!
Prospective Ph.D. Students
If you’re a prospective Ph.D. candidate, please apply to our Ph.D. program in Data Science and Operations. Ph.D. candidates are admitted and funded by the school, not by individual faculty. Hence, all applications are reviewed by a committee, and my opinion is only one of many.
Questions about the program (admissions process, logistics, etc.) can be directed to
- Me, the Operations Management Ph.D. Coordinator within DSO
- Prof. Wen Sun, the Statistics Ph.D. Program Coordinator within DSO
- Julie Phaneuf, Associate Director of all USC Marshall Ph.D. Programs
Want to work with me specifically?
Please specify in your application that you are interested in working with me, and what types of research problems excite you!
Existing Ph.D. Students
If you’re an existing Ph.D. student (perhaps not at USC Marshall) and want to collaborate on a project, please:
- Check to make sure it’s ok with your advisor.
- Take a look at some of my research papers.
- Email me so we can talk about your research so far, and what kinds of problems you want to collaborate on.
Master’s and Undergraduate Students
I sometimes have computational projects suitable for ambitious Master’s and Undergraduate students. These projects are fairly technical, so an ideal candidate would have
- A strong mathematical/quantitative background.
- A strong working knowledge of mathematical optimization including convex optimization and duality.
- Strong programming skills (Julia, Python R, or other). Ideally, you would be comfortable using software to solve custom optimization problems.
If that’s you, please email me! Please include details about
- Why you want to do a research project
- Your coursework in optimization and data science
- Your experience with programming
- Any research ideas or problems