Research

Selected first-author papers:

• Modeling Subsurface Performance of a Geothermal Reservoir Using Machine Learning, 2022

• Bias Characterization, Vertical Interpolation, and Horizontal Interpolation for Distributed Wind Siting Using Mesoscale Wind Resource Estimates, 2021

• In Datacenter Performance, The Only Constant Is Change, 2020

• The Design and Operation of CloudLab, 2019

Mentoring:

• At NREL, I currently mentor: 

  • an undegradaute student working on software development and analysis for our distributed wind siting project,

  • a gradute student researching various techniques in HPC operational data analytics. This student's work in the form of a reserch paper was recently accepted to ACM PEARC'23 conference.

Selected public talks & slides:

• Presentation at Distributed Wind Energy Association's (DWEA's) annual conference, February 28, 2023. 

• Presentation of the poster: "Using Machine Learning to Predict Future Temperature Outputs in Geothermal Systems" at GRC20 Virtual Annual Meeting & Expo, October 2020.

• "(Virtual) presentation of the paper "In Datacenter Performance, The Only Constant is Change", May 2021 (CCGrid 2020 was delayed by a year because of the pandemic)

• Presentation of the paper "The Design and Operation of CloudLab" at USENIX ATC'19 (Track 1: Real-World Deployed Systems), July 10, 2019