Carleton Coffrin

Carleton Coffrin

Staff Scientist

Los Alamos National Laboratory


Carleton Coffrin is a staff scientist in Los Alamos National Laboratory’s Advanced Network Science Initiative. His research interests focus on how optimization algorithms can be applied to applications on infrastructure networks. His background spans many forms of optimization including mathematical programing, constraint programming, and local search. Recently Carleton has been exploring online learning via open-online courses and youtube videos as well was novel computing architectures such as, quantum computers, neuromorphic computers and memristors.

  • Optimization
  • Artificial Intelligence
  • Infrastructure Networks
  • Wacky Computing Architectures
  • PhD in Artificial Intelligence, 2012

    Brown University

  • MS in Computer Science, 2010

    Brown University

  • BS in Computer Science, 2006

    University of Connecticut

  • BFA in Technical Theatre, 2006

    University of Connecticut

Selected Publications

All Publications

Selected Software

All Software

  • PowerModels.jl: a Julia package for Power Network optimization
  • Juniper.jl: a nonlinear branch-and-bound JuMP solver for finding feasible solutions to non-convex mixed-integer nonlinear programs
  • ac-opf-bounds: a python tool for optimization-based bound tightening on power network datasets
  • DWIG: a python tool for generating test cases for D-Wave quantum computer
  • STAC: a web-based tool for visualization for power network datasets
  • grg-mpdata: python parsers and data structures for Matpower data files



Co-Instructor with Pascal Van Hentenryck, Discrete Optimization (delivered by Coursera) Melbourne University, Melbourne, VIC, 2013 - Present

Co-Instructor with Peter Stuckey, Modeling for Discrete Optimization (delivered by Coursera) Melbourne University, Melbourne, VIC, 2015

Teaching Assistant for Peter Stuckey, Modeling for Discrete Optimization (COMP90046) Melbourne University, Melbourne, VIC, 2014 and 2015

Graduate Teaching Assistant for Claire Mathieu, Design and Analysis of Algorithms (CSCI1570) Brown University, Providence, RI, 2010 and 2012

Graduate Teaching Assistant for Pascal Van Hentenryck, Solving Hard Problems in Combinatorial Optimization: Theory and Systems (CSCI2580) Brown University, Providence, RI, 2011

Other Materials

Other Activities


2019 R&D 100 Award for Severe Contingency Solver: Electric Power Transmission

Los Alamos National Laboratory 2019 Distinguished Performance Award for Critical Infrastructure Optimization Software

Los Alamos National Laboratory 2018 LAAP Award for Leadership in the Quantum Computation Summer School

Los Alamos National Laboratory 2018 LAAP Award for C2S Development Efforts

Los Alamos National Laboratory 2017 LAAP Award for Exploration of Quantum Computation

Los Alamos National Laboratory 2017 Early Career Researcher Award for Large-Scale Nonlinear Optimization via Cloud Computing

PES 2014, Application of Modern Heuristic Optimization Algorithms for Solving Optimal Power Flow Problems, finalist (1 of 5), for Heuristic MINLP for Optimal Power Flow Problems

Northeastern INFORMS 2011, Student Poster Competition, First Place, for Vehicle Routing for the Last Mile of Power System Restoration

INFORMS 2010 Doing Good with Good OR Competition finalist (1 of 6), for Strategic Planning for Disaster Recovery with Stochastic Last Mile Distribution

Los Alamos National Laboratory 2010 LAAP Award for Outstanding Summer Research in Power Grid Restoration for Disaster Recovery

Professional Service

  • IEEE Power & Energy Society, Power System Operations Committee, Benchmarks for Validation of Emerging Power System Algorithms Task Force Chair, 2016 - Present
  • Los Alamos National Laboratory, Quantum Computing Summer School, Co-Lead, 2018, 2019, 2020
  • Constraint Programming, Workshop on Constraint Solving and Special Purpose Hardware Architectures, Co-chair, 2019
  • Los Alamos National Laboratory, Grid Science Winter School, Program Committee, 2017, 2019
  • 28th Australasian Joint Conference on Artificial Intelligence, Student Symposium Chair, 2015
  • Senior Program Committee
    • 35th AAAI Conference on Artificial Intelligence (AAAI), 2021
  • Program Committee
    • IEEE Quantum Week, Quantum Benchmarks & Measurements Track, 2020
    • 21st Power Systems Computation Conference (PSCC), 2020
    • Principles and Practice of Constraint Programming, Doctoral Program, 2015
  • Reviewer
    • IEEE Transactions on Power Systems 2012-Present; Smart Grid 2014-Present; PSCC 2016-Present; Quantum Information 2020; QCE20 2020; COAP 2020; APS PRA 2019; QINP 2019; IEEE PES GM 2016; AAAI 2014, 2015; IJCAI 2013, 2015; CP 2011