Samuel Talkington
Incoming Assistant Professor, University of Michigan
In Fall 2027, I will join the University of Michigan as an Assistant Professor of Electrical and Computer Engineering , where I will lead the Eigenergy Group . I am completing my Ph.D. at Georgia Tech , advised by Daniel K. Molzahn . Before starting at Michigan, I look forward to spending the year as a Postdoctoral Fellow at Harvard University , mentored by Le Xie and Na Li .
My research develops efficient algorithms for societal-scale problems in electric power networks. At the interface of statistics and optimization, I exploit domain structure—such as power flow physics, spectral graph properties, and communication protocols—to improve scalability and reliability. A guiding theme of my work is treating randomness as a resource to transform the way we operate the grid.
I gratefully acknowledge support from the NSF Graduate Research Fellowship Program.
Interactive Optimal Power Flow Compiled to the Browser (Jul 2026)
Samuel Talkington
The Limits of Quantum Computers for Power Flow (Jul 2026)
Cameron Khanpour and Samuel Talkington
Making Every Bit Count for A-Optimal State Estimation (Mar 2026)
Cameron Khanpour, Daniel Turizo, and Samuel Talkington
Error Bounds for Radial Network Topology Learning from Quantized Measurements (Jan 2026)
Samuel Talkington, Aditya Rangarajan, Pedro A. de Alcântara, Line Roald, Daniel K. Molzahn, and Daniel R. Fuhrmann
Efficient Network Reconfiguration by Randomized Switching (Oct 2025)
Samuel Talkington, Dmitrii M. Ostrovskii, and Daniel K. Molzahn
Covert Distribution Load Tripping Attacks (Oct 2025)
Betelihem Kebede Ashebo, Samuel Talkington, Saman Zonouz, and Daniel K. Molzahn
Admittance Matrix Concentration Inequalities for Understanding Uncertain Power Networks (Oct 2025)
Samuel Talkington, Cameron Khanpour, Rahul K. Gupta, Sergio A. Dorado-Rojas, Daniel Turizo, Hyeongon Park, Dmitrii M. Ostrovskii, and Daniel K. Molzahn
VArsity: Can Large Language Models Keep Power Engineering Students in Phase? (Oct 2025)
Samuel Talkington and Daniel K. Molzahn
Differentiating Through Power Flow Solutions for Admittance and Topology Control (Oct 2025)
Samuel Talkington, Daniel Turizo, Sergio A. Dorado-Rojas, Rahul K. Gupta, and Daniel K. Molzahn
Strategic Electric Distribution Network Sensing via Spectral Bandits (Dec 2024)
Samuel Talkington, Rahul Gupta, Richard Asiamah, Paprapee Buason, and Daniel K. Molzahn
Locational Marginal Burden: Quantifying the Equity of Optimal Power Flow Solutions (May 2024)
Samuel Talkington∗, Amanda West∗, and Rabab Haider (∗ equal contribution)
all papers
all posts