Responsible AI in Varying Environments 🪩
Postdocs
Youngwoo Kim (with Steven Johnson)
Shivam Singh (with Antonios Mamalakis)
PhD Students
Bryan Christ (co-advisor; SDS)
Mingtian Tan (co-advisor; CS)
Karolina Naranjo-Velasco (co-advisor; SDS)
Matt Landers (co-advisor; CS)
Zhanwen Chen (SDS)
Zack Gottesman (SDS)
Medhasweta Sen (SDS)
Xu Ouyang (CS)
Himanshu Beniwal (visiting)
Undergraduate Students
Chelsea Qian
Joining
I am recruiting 1-2 PhD students to start Fall 2025. If you are interested in joining my group as a PhD student in Fall 2025 in Data Science, please apply directly to the UVA Data Science PhD program. If you want to get in touch, send me an email with "[PHD APPLICANT]" in the subject line. Please also include your CV, briefly describe your research vision, and mention which of our recent papers aligns best with your interests and why. I cannot promise responses to emails that don't meet these criteria. If your email meets these criteria and you have a question you need answering, please follow up!
More info and final application here: https://datascience.virginia.edu/degrees/phd
(UPDATE Oct'24: Due to a large volume of inquiries, I cannot promise individual responses. Feel free to apply even if I do not respond---matching with a faculty member ahead of time is not a requirement to be a strong candidate for our program).
If you are a current Undergraduate, Masters, or PhD student at UVA looking to do a project with me, please send me an email with "[CURRENT STUDENT]" in the subject line, describe your interests (as specifically as possible), and mention which which of our recent papers aligns best with your interests and why.
I am NOT recruiting Masters students through the Data Science program at this point. If you are already a Masters student at UVA, please feel free to get in touch as described above. However, I am not recruiting new masters students through our masters program.
Group outing to Monticello
Sponsorship
Mentoring Philosophy
While we conduct exciting research in a fast-paced field, a healthy work-life balance and general wellbeing are key to sustained research success.
I aim to broaden participation in machine learning research in all aspects: I welcome folks from all walks of life into my group and I do my best to accommodate everyone's situation.
Conducting successful research should be fun and involve diving deep into details. To facilitate this, students and I work together to define concrete problems we are both excited about.
I encourage and foster independence at all stages of students' degrees.
A big component of doing a PhD is self-discovery, so I encourage students to try new things and read broadly. One way I facilitate this is through weekly paper-reading group.
Supervision logistics: I meet each student 1:1 for 1 hour per week. This meeting is student-led and often focuses on research updates and feedback. I try to be available as much as possible for paper-writing and other support.