
Jacob Carroll
Here is ChatGPT's summary of my resume: I have a strong educational background in physics and statistics, with a... | Aurora, Colorado, United States
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Jacob Carroll’s Location Aurora, Colorado, United States
Jacob Carroll’s Expertise Here is ChatGPT's summary of my resume: I have a strong educational background in physics and statistics, with a Doctor of Philosophy in Statistical Physics, a Master of Science in Physics, and Bachelor's degrees in Physics and Mathematics. My technical skills encompass a range of programming languages such as Python, C++, R, and JavaScript, as well as various software and computational methods relevant to machine learning, artificial intelligence, and physics research. In terms of experience, I have worked as a Machine Learning/AI Engineer at Lockheed Martin Space since September 2021, where I have been involved in the development of AI/ML capabilities, including ATR, NLP, and ontology-based reasoning. I have also worked as a Software Engineer at Lockheed Martin Space from June 2019 to September 2021, where I led a team in designing and implementing flight and simulation software for the Janus SIMPLEx mission. Additionally, I developed modules for simulating components of the deep space probe Lucy and worked on C++ simulation architecture and models for GPS satellites. As a Graduate Researcher at Virginia Tech's Center for Soft Matter and Biological Physics, I programmed neural network software, simulated large-scale networks of biologically inspired neuron models, and conducted analysis using tools like SciPy and R. I also developed software to simulate ligand-receptor bonds and analyzed the simulation results. During my research internships at Los Alamos National Lab in 2018 and 2017, I designed and trained convolutional neural networks for image de-noising, analyzed their performance, and explored the effects of perturbations. I also worked on highly parallelized convolutional neural networks for sparse image reconstructions. In addition to your research and engineering roles, I served as a Graduate Teaching Assistant at Virginia Tech, mentoring undergraduate students and assisting with physics experiments and tutoring. My publications demonstrate my research contributions in the field of statistical physics and neural networks, and I have received several honors and awards for my work, including Outstanding Poster Award, Ray F. Tipsword Graduate Scholarship, and First Place Short Talk Award, among others. Overall, my experience showcases a strong academic background, technical skills, and practical experience in machine learning, AI, and physics research.
Jacob Carroll’s Current Industry Lockheed Martin
Jacob
Carroll’s Prior Industry
Virginia Tech
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Independent
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Los Alamos National Laboratory
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Lockheed Martin
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Work Experience

Lockheed Martin
Staff Machine Learning Engineer
Sat Oct 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time) — Present
Lockheed Martin
Senior Machine Learning Engineer
Wed Sep 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time) — Thu Sep 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time)
Lockheed Martin
Flight Software Lead
Mon Feb 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time) — Wed Sep 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time)
Lockheed Martin
Senior Software Engineer
Sat Jun 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time) — Wed Sep 01 2021 00:00:00 GMT+0000 (Coordinated Universal Time)
Los Alamos National Laboratory
Research Intern
Fri Jun 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time) — Wed Aug 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time)
Los Alamos National Laboratory
Research Intern
Thu Jun 01 2017 00:00:00 GMT+0000 (Coordinated Universal Time) — Tue Aug 01 2017 00:00:00 GMT+0000 (Coordinated Universal Time)
Independent
Physics Tutor
Fri Jul 01 2016 00:00:00 GMT+0000 (Coordinated Universal Time) — Mon May 01 2017 00:00:00 GMT+0000 (Coordinated Universal Time)
Virginia Tech
Graduate Researcher
Thu Jan 01 2015 00:00:00 GMT+0000 (Coordinated Universal Time) — Wed May 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time)
Virginia Tech
Graduate Teaching Assistant
Thu Jan 01 2015 00:00:00 GMT+0000 (Coordinated Universal Time) — Wed May 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time)
Virginia Tech
Undergraduate Researcher
Sat Jun 01 2013 00:00:00 GMT+0000 (Coordinated Universal Time) — Mon Dec 01 2014 00:00:00 GMT+0000 (Coordinated Universal Time)