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I am a fourth year Ph.D. student studying Operations Research in the H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology. Previously I received my undergraduate degree in Industrial Engineering with a minor in Mathematics from the University of Tennessee.
I am advised by Dr. Alejandro Toriello. My research interests lie primarily in discrete optimization and decision making under uncertainty. Specifically, I am interested in
Integer programming and discrete optimization
Markov decision processes and dynamic programming
Software for optimization
I am a National Science Foundation Graduate Research Fellow. While interning at Sandia National Lab I was a contributor to the open-source stochastic programming software mpi-sppy.
MyCV.pdfEducation
Education
Georgia Institute of Technology | Ph.D Operations Research
Advsior: Dr. Alejandro TorielloGPA 3.92/4.0University of Tennessee- Knoxville | Honors B.S. Industrial Engineering (2018)
Minor in MathematicsGPA 3.99/4.0Graduated Summa Cum LaudePublications
Publications
Dynamic node packing. Math. Program. (2021). https://doi.org/10.1007/s10107-021-01624-3
Collaborators: Alejandro TorielloWorking Papers
Working Papers
Submodular Interval Scheduling , Submitted.
Collaborators: Alejandro TorielloA Parallel Hub-and-Spoke System for Large-Scale Scenario-Based Optimization Under Uncertainty, Submitted.
Collaborators: Bernard Knueven (NREL), David Mildebrath (Rice), John Siirola (SNL), Jean-Paul Watson (LLNL) , and David Woodruff (UC Davis)Exploiting Multiple Optimal Solutions in Independent Set
Collaborators: Jim Ostrowski (UTk), Fabrizio Rossi (L'Aquila), and Stefano Smriglio (L'Aquila)Work Experience
Work Experience
Georgia Institute of Technology | (2018 - Present)
Research focuses on studying and developing algorithms for packing and scheduling models with applications to cloud computing.
Microsoft Research | Cloud Operations Research (CORE) Group (Summer 2020, Summer 2021)
Studied various aspects of the virtual machine placement problem to assist with improving utilization in the Azure system.
Sandia National Laboratory | Discrete Math and Optimization Group (2019 - 2020)
Work alongside researchers in the Discrete Math and Optimization group implementing stochastic programming algorithms using the Pyomo modelling language.
Los Alamos National Laboratory | Center for Nonlinear Studies (Summer 2018)
Explored various means of expressing rank-1 constraints to strengthen SDP relaxations of the max-cut problem.
Oak Ridge National Laboratory | Computer Science Group (Summer 2016)
Studied minor embedding heuristics to assist with operation of the D-Wave Quantum Annealer.
University of Tennessee | Optimization Lab (2015-2018)
Evaluated the impact of a novel class of branching inequalities for the independent set problem.
Awards and Honors
Awards and Honors
MIP 2021 Poster Contest Finalist (2021)
MIP 2020 Poster Contest Finalist (2020)
NSF Graduate Research Fellow (2019)
Georgia Tech President's Fellow (2018)
Technical Skills
Technical Skills
Programming Languages
Python | C++ | Julia
Optimization Software
Gurobi | CPLEX | Pyomo
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