RAVE Group
Responsible AI in Varying Environments
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Group Members
Yash Kumar Atri (postdoc; Summer 2024 -- present)
Shivam Singh (postdoc; Summer 2024 -- present, co-advised w/ Antonios Mamalakis)
Arinbjorn Kolbeinsson (visiting scientist; Fall 2023 -- present)
Mingtian Tan (CS PhD; Spring 2024 -- present, co-advised w/ Dave Evans)
Matt Landers (CS PhD; Spring 2024 -- present, co-advised w/ Afsaneh Doryab)
Zack Gottesman (DS PhD; Fall 2024 -- present)
Medhasweta Sen (DS PhD; Fall 2024 -- present)
Eirik Drage Steen (DS PhD; Fall 2025 -- present)
Joy Qiu (SDS PhD; Summer 2025 -- present)
Marco Gutierrez (DS PhD; Fall 2024 -- present)
Karolina Naranjo-Velasco (DS PhD; Fall 2024 -- present, co-advised w/ Yangfeng Ji)
Xu Ouyang (CS PhD; Fall 2024 -- present)
Zhanwen Chen (DS PhD, Fall 2024 -- present)
Natalie Seah (MS; Summer 2025 -- present)
Hugo Barnes (BS; 2024 -- present)
Luke Hakso (BS; 2025 -- present)
Noah Arooji (BS; 2025 -- present)
Alumni
Bryan Christ (DS PhD; Oct 2025, went to Microsoft)
Youngwoo Kim (Postdoc; went to Google)
Himanshu Beniwal (visiting PhD student)
Chelsea Qian (Undergrad researcher; started PhD at UMass Amherst)
Joining
Joining
Prospective PhD students. If you are interested in joining my group as a PhD student in Fall 2026 in Data Science, please fill out this form. You will also eventually need to apply to the UVA Data Science PhD program. All applications will be considered, so you do not need to follow up on this.
If you need to ask specific questions, send me an email with "[PHD APPLICANT]" in the subject line. I cannot promise responses to emails, but feel free to remind me if you're waiting on time-sensitive information and I have information that you really need. I am not currently recruiting new students through UVA's CS PhD program.
Current UVA students at all levels: 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.
MS program applicants: I am NOT funding new MS 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
Sponsorship
NIH - Other Transactions Award. Grant #1OT2OD038079-01. A Model Editing Framework for Participatory Multimodal AI in Dermatology. Multi-PI: Ahmed Alaa, Tom Hartvigsen, Roxana Daneshjou. Budget: $983,993 (Year 1). Aug 2025.
CapitalOne Faculty Research Fellowship. Learning to Reason about Financial Time Series. Budget: $50k. 2025.
UVA Darden School of Business. Faculty Fellowship in AI Research. Detecting Implicit Bias in Natural Language with Large Language Models. Budget: $200K. PI: Tom Hartvigsen. Co-PI: Steven Johnson. 2024.
UCLA Initiative to Study Hate. Research Innovation Grant. Community Grounded Hate Speech Detection. PI: Saadia Gabriel. Co-PI: Tom Hartvigsen. 2024.
Microsoft Accelerate Foundation Models Program. Evaluation Framework for Continually Detoxifying LLMs. 2024.
UVA Environmental Institute Climate Fellowship. Using Advanced AI for Simultaneous Bias-Correction and Downscaling of Climate Model Projections for Localized Policy Relevance. PI: Antonios Mamalakis. Co-PI: Tom Hartvigsen. Budget: $150K. 2023.
Microsoft Accelerate Foundation Models Program. Enabling Large Language Models to Reason about Time Series. PI: Tom Hartvigsen. Co-PI: Tim Althoff. 2023.
Mentoring Philosophy
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. Intersecting more perspectives fosters creativity, so folks from all walks of life are welcome in 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 regular paper sharing in our group.
Supervision logistics: I meet each student 1:1 for 1 hour per week. This meeting is student-led and usually focuses on research updates and feedback. I try to be available as much as possible for paper-writing and other support.
*I don't condone the overuse of "AI" but "RAVE" sounds cooler than "RMLVE"
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