I am an early career operations research scientist who is highly motivated to innovate in order to make the world a better place. In particular, I am interested in applying mathematical methods to solve problems in renewable energy technologies, critical infrastructure, national security, and defense.Through four years in the defense industry, I have a firm understanding of how to design and execute impactful analytic studies which provide actionable insight to decision-makers. Now, I am pursuing a PhD full-time with a focus on power system planning. In my PhD studies, I am expanding the depth and breadth of my technical expertise in the methods of operations research, as well as developing an understanding of the power system industry. I believe that by combining my previous industry experience with this additional study, I will be exceptionally well-equipped to serve in an impactful role as an OR scientist post-graduation.
-
Senior Operations Research AnalystMitreMclean, Va, Us -
Graduate Research Assistant In Industrial Engineering And Operations ResearchPenn State University Oct 2022 - PresentState College, Pennsylvania, United StatesMy graduate research focuses on applying methods from operations research to improve the resilience of critical infrastructure - particularly the power grid - while considering the interactions of the infrastructures of multiple sectors. To date, I have worked as part of a team using statistical learning methods to classify potential future climate conditions which present high risk to power system operations, with the intent of identifying mitigation measures via stochastic capacity expansion modeling. -
Martians (Math And Analytics Research Technical Internship To Advance National Security) ParticipantSandia National Laboratories May 2024 - Aug 2024Albuquerque, New Mexico, United StatesAs a graduate intern at Sandia, I've rapidly developed the programming skills in Pyomo (Python) to implement bilevel and disjunctive mixed-integer optimization models for applications including electricity infrastructure planning. In addition, I have performed analysis on model outputs with the goal of informing DoE and DoD decision-makers. As part of my internship's professional development program, I have presented on this work and on technical papers to audiences including non-domain experts and internal technical staff members. -
R&D Operations Research EngineerThe Pennsylvania State University Applied Research Laboratory Jul 2019 - Jun 2023State College, Pennsylvania AreaIn this role, I performed work across the Operations Research spectrum. Some highlights of my work include leading the design, implementation (in GAMS) and analysis of a large, dynamic-network, mixed-integer resource allocation problem, constructing object-oriented Discrete Event Simulations in MATLAB and Python, and assisting in the development and implementation of a novel risk assessment framework. Additional projects included collaborative software development and analysis, as well as algorithm construction in MATLAB and Simulink. Results of each project were used to inform sponsor investment and operational decisions. -
Undergraduate ResearcherRice University Aug 2017 - May 2018Houston, Texas AreaSenior Capstone project in the Department of Computational and Applied Mathematics at Rice University. Under the supervision of Dr. Beatrice Rivière (Rice) and Dr. Kai Sun (British Petroleum), I worked in a team of three senior undergraduates to design and provide an efficient solution for a mixed-integer programming model to maximize the profit of an electric power generator. To solve this problem, my team converted physical constraints on the power generator into mathematical constraints in our MIP model, and tested potential algorithmic solutions. Ultimately, we elected to design and implement a dynamic programming algorithm in Python to provide a fast, heuristic solution. -
Undergraduate Research AssistantRice University Jan 2017 - Aug 2017Houston, Texas AreaUnder the supervision of Drs. Andrew Schafer and Boris Brimkov (Rice), I independently conducted research in algorithms and graph theory. For this research, I utilized combinatorial and integer programming techniques to develop new, efficient algorithms to solve two inverse optimization problems, each on two classes of graphs. To assist my research, I used MATLAB to test the efficiency of my algorithms and determine if and what parts of the algorithms could be improved.
-
Undergraduate Research Assistant - Mathematical Sciences Research Institute Undergraduate ProgramMathematical Sciences Research Institute - Msri Jun 2016 - Jul 2016Berkely, CaIn conjunction with two other undergraduates, I worked under the direction of a full professor and postdoctoral student to derive a closed-form solution for a previously-unsolved problem at the intersection of abstract algebra and graph theory. During this project, we utilized Python to run simulations of our problem and identify relevant patterns in the data. We isolated a potential answer from this data, and ultimately proved that it was a correct solution. In addition, during this project we were required to submit weekly oral and written reports of our progress, and were given instruction in how to communicate mathematics to audiences of any (or no) mathematical background.
Jonathan Celaya Education Details
-
Operations Research
Frequently Asked Questions about Jonathan Celaya
What company does Jonathan Celaya work for?
Jonathan Celaya works for Mitre
What is Jonathan Celaya's role at the current company?
Jonathan Celaya's current role is Senior Operations Research Analyst.
What schools did Jonathan Celaya attend?
Jonathan Celaya attended Rice University.
Who are Jonathan Celaya's colleagues?
Jonathan Celaya's colleagues are Dan Mantine, Vanessa Graf, Samantha Citron, Carrie Muenks, Mike Zander, Karen Quigg, Peter Korfiatis.
Not the Jonathan Celaya you were looking for?
-
-
-
-
1nyrr.org
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial