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Mentorship

I’ve benefited from generous mentors, and I try to offer the same support to the students I work with.

I enjoy collaborating with students at all levels on open-ended research problems and helping them develop their own ideas into strong research projects. To explore 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 Pacific Time for these conversations. Please email me to arrange a time. We can find another time if Fridays don’t work for you.

Current Mentees

Tuhina Tripathi Ph.D. Student, University of Massachusetts Amherst 2026 – Present
Chain-of-thought monitorability in latent reasoning models

Past Mentees

Xinyu (Rachel) Li Ph.D. Student, School of Computer Science 2025 – 2026
Scaling test-time compute through recursive language models (Hermes)
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)