I’ve had the pleasure of mentoring and collaborating with a lot of talented students and postdocs. At LANL, mentorship can be a bit different than in academia or the private sector (formal mentors exist in the system, but day-to-day technical mentorship is often shared across a team), so this list focuses on people I worked with substantially. People for whom I served as the official primary mentor are marked with an asterisk (*). If I’ve missed you or you’d like an update to your “Now” line, please send me a note. Now = “the best of my knowledge as of Jan. 2026.”


Current Group

Postdocs

Mentee Years Focus Now
Shubhendu Singh* 2024–present Deep reinforcement learning for reservoir operations LANL postdoc
Cansu Demir* 2025–present Arctic E3SM Land Model (mainly hydrological) development LANL postdoc

Students

Mentee Years Focus Now
Mark Reedy* 2025–present Causal AI for conflict modeling LANL GRA (UC Davis PhD student)
Maggie Farley 2024–present Drone-based field observations and data synthesis for Arctic land processes LANL GRA

Former groups

Postdocs

Mentee Years Focus Now
Tao Liu 2023–2025 AI-enabled wildfire hydrology State of New Mexico
Rajiv Ranasinghe* 2023–2025 LSTM hydrology model development LANL Scientist
Chuck Abolt 2021–2023 AI and computer vision Freshwater Trust
Jemma Stachelek* 2021–2023 Global hydrology and data integration (VotE) LANL Scientist
Rachel Glade 2019–2021 Solifluction University of Rochester (Professor)
Feng Yu 2018–2019 Hydrology-focused GIS Bayer (GIS Scientist)

Students

Mentee Years Focus Now
Shuyu Chang* 2024 AI for river temperature prediction University of Connecticut (incoming professor)
Gokul Nair 2022–2025 Mosquito dynamics under climate change Post-PhD travels
Sarah Maebius* 2022–2024 AI for hydrologic prediction in arid regions Princeton (PhD student)
Elizabeth Prior* 2022 VotE dams creator Virginia Tech (PhD student)
Sofia Avendaño* 2022 Water quality in Chesapeake Bay Elementary school teacher
Jay Hariharan 2021–2022 Flux partitioning in delta networks US Federal Government (Geospatial Data Scientist)
Rachel Ulrich 2021 Arctic delta hydrology LANL staff
Bohan Chen* 2021–2024 Graph learning for computer vision Caltech (postdoc)
Tal Zussman* 2020 rabpro development Columbia University (PhD student)
Tabatha Clevenger 2020 Geospatial mapping Vassar College (Academic Coach)
Ryan Herring 2020 ML + SAR for delta channel networks Math and Science instructor
Gailin Pease* 2019 CNNs for computer vision Singularity Energy (Data Scientist)
Mulu Fratkin 2018–2020 Geomorphology and hydrology State of Minnesota
Robert Sare* 2018 Software development X / Google

Interested in working together?

If you’re a student or postdoc interested in opportunities in my group, feel free to reach out via the Contact page.