About
Adam Glick is a software engineer and nuclear physicist with over a decade of software development experience and more than three years as a professional engineer at PeopleTec, IERUS Technologies, TEAL Systems, and ScienceLogic. He specializes in AI for IT operations (AIOps), cloud technologies (AWS, Azure), and high-performance Python development for large-scale data acquisition and analysis, including memory-efficient parallel processing of terabytes of data.
He earned a Ph.D. in Nuclear Engineering from UC Berkeley, developing neutron detection and imaging systems to characterize cosmogenic background radiation using Monte Carlo simulations and Python-based acquisition software. His postdoctoral work at MD Anderson Cancer Center focused on preclinical FLASH radiation therapy, creating Python tools for data analysis, hardware communication, and radiation transport simulation with his Geant4Py toolkit.
Adam has led teams and mentored engineers as Scrum Master and team lead at IERUS Technologies, overseeing backend architecture, unit testing, and agile process adherence. He has also optimized industrial control systems at TEAL Systems and automated event engines at ScienceLogic. Independently, he has developed mathematical models to optimize cancer therapies using Python and advanced algorithms.
His research has been published in Nuclear Instruments and Methods in Physics Research Section A, Discrete and Continuous Dynamical Systems, and International Journal of Radiation Oncology. Proficient in Python (PyQT, WX, SciPy, NumPy, Pandas), C++, SQL, MATLAB, and DevOps tools, he delivers high-availability software integrating complex hardware and data systems.
Adam’s expertise in nuclear physics, AI/ML, and software engineering enables him to address complex scientific and technical challenges, bridging computational innovation with practical applications in nuclear security, medical physics, and industrial automation.
Examples of past work:
https://www.researchgate.net/p...
Joined
November 2025
