Profile
Lauren Henderson
Mathematical and Statistical Sciences
Grad Teacher of Record
PhD Intern at PNNL
PhD Candidate
Educational Background
M.S., Mathematical Sciences, Clemson University, 2024
B.A., Mathematics, University of Kansas, 2022
B.A., Women, Gender, and Sexuality Studies, University of Kansas, 2022
Profile/About Me
My name is Lauren Henderson and I am a fifth year PhD student at Clemson University. I obtained my Masters degree from Clemson in 2024, titled "Bounding the Convex Hull Relaxation of the Unit Commitment Problem with the Shapley-Folkman Theorem", which is publicly available through Clemson (linked below). Since obtaining my Masters, I have been continuing my work with my advisor, Dr. Cheng Guo. My research interests center around power systems, specifically unit commitment and electricity market pricing through convex relaxation and uncertainty.
In addition to my work at Clemson, I have been a PhD intern at Pacific Northwest National Laboratory since May of 2025. I have continued to work with the lab during my PhD studies, allowing me to gain hands-on experience with relevant industry problems. I mainly work on wind resource adequacy and power systems under uncertainty. One of my projects at the lab has been expanding the open source time series validation tool, WE-Validate (GitHub linked below).
If you'd like more details on my past or current works, please reach out!
Research Interests
Applications: Power Systems, Energy Markets, and Renewable Energy
Methodologies: Integer Programming, Linear Programming, Nonlinear Programming, Time Series Analysis
Courses Taught
Graduate Teacher of Record: STAT 3090 (Fall 2023, Fall 2025)
Graduate Teaching Assistant: MATH 8100 (graduate-level) (Spring & Fall 2024), STAT 3090 (Fall 2024), STAT 2300 (Fall 2022, Spring 2023, Summer 2023, Spring 2024, Spring 2025)
Selected Publications
Large-Scale Validation of Synthetic Wind Power Data for Power Systems Planning Studies: A Case Study on ERCOT Plant-Level Data. Lauren Henderson, Allison Campbell, Nader Samaan, Chitra Sivaraman, Larry K. Berg, Ye Liu, Jess Barcco, Dev Millstein, Seongeun Jeong, Justin Sharp. Conference on Probabilistic Methods Applied to Power Systems (PMAPS) (2026)
Pricing Discrete and Nonlinear Markets With Semidefinite Relaxations.
Cheng Guo, Lauren Henderson, Ryan Cory-Wright, Boshi Yang (preprint linked below)
Memberships
President of the Society for Industrial and Applied Mathematics (SIAM) Student Chapter (2026 - present)
Panelist at The National Wind Power Database: What it is and why the electric sector needs it for power grid planning studies workshop - Virtual (2025)
Co-Organizer of the Math For All Satellite Conference , Clemson, SC (2024, 2025)
Chair of the Welcome and Advocacy Committee - Graduate Student Advisory Council, Clemson University (2024 - 2025)
Honors and Awards
Interdisciplinary Fellowship, Clemson University ($4,000)
Graduate Student Government Travel Grant, Clemson University ($750)
Sobczyk Memorial Fellowship, Clemson University ($1,000)
Florence Black-Wealthy Babcock Scholarship, University of Kansas ($1,000)
KU Excellence Academic Scholarship, University of Kansas ($48,000)
Certificate of Excellence, University of Kansas, Department of French, Francophone, and Italian Studies
Degree Program
PhD Mathematical Sciences
Expected Graduation
May 2027
Links
LinkedIn
Masters Project
WE-Validate GitHub
Pricing Discrete and Nonlinear Markets With Semidefinite Relaxations
