Mentorship

Mentorship, to me, is gratitude put into practice.

I enjoy collaborating with students at all levels on open-ended research problems and helping them develop ideas into strong, independent projects. If you're interested in working together, reach out.

Office hours. I'm happy to chat about research with students and fellow researchers. I've set aside Fridays, 4:00–5:00 PM (PST) for this — please reach out by email. If that time absolutely doesn't work, I'm happy to find another.

Current Mentees

Xinyu (Rachel) Li Ph.D. Student, School of Computer Science 2025 – Present

Scaling test-time compute through recursive language models

Past Mentees

Shravan Chaudhari Applied Scientist Intern, Amazon · now Ph.D. student at Johns Hopkins University 2025

Dense embedding retrieval for software issue localization (SpIDER)

Malgorzata Gwiazda RISS · now Ph.D. student at CMU RI 2025

Time series reasoning benchmarks and evaluation of foundation models

Michal Wilinski RISS · now Ph.D. student at CMU RI 2024 – 2025

Representations, interventions, and long-context modeling in time series foundation models

Willa Potosnak Ph.D. Student, Robotics Institute 2024 – 2025

Compositional reasoning and long-context attention in time series foundation models

Nina Zukowska RISS · now Research Intern at Max Planck Institute for Informatics 2024 – 2025

Long-context time series foundation models and representation analysis

Konrad Szafer RISS · now Research Assistant at ETH Zurich 2023 – 2024

MOMENT: open time series foundation models (ICML 2024)

Arjun Choudhry Research Intern, Auton Lab · now Ph.D. student at Georgia Tech 2023 – 2025

Time series foundation models, evaluation benchmarks, and federated learning

Yifu Cai Research Intern, Auton Lab · now Quant Researcher at Millennium 2023 – 2025

Time series reasoning, clinical AI, and ML engineering agents

Eric Enouen Research Mentee · now Ph.D. student at Cornell 2023

Federated learning with cross-silo routing (AAAI 2024)

Chalisa Udompanyawit CIT Honors Research Program · now Software Engineer 2022 – 2023

Label quality assessment and benchmarking (NeurIPS 2023)

Arnab Dey RISS · now MD candidate at UPenn 2021 – 2022

Weakly supervised classification of clinical vital sign alerts (AMIA 2022)

Committee Service

Willa Potosnak — Ph.D. Speaking Qualifier, Robotics Institute, Carnegie Mellon University
Xinyu (Rachel) Li — Ph.D. Speaking Qualifier, School of Computer Science, Carnegie Mellon University
Ambareesh Revanur — MSR Thesis, Robotics Institute, Carnegie Mellon University (now Sr. MLE at Adobe)