Randall W. Gladen Email & Phone Number

Bunkyo City, Tokyo, JP

Deliver tailored signal extraction algorithms, predictive deep learning models, and engineering physics solutions for clients across a range of domains–such as life sciences, astrophysics, particle physics, and condensed matter physics.Cultivate a diverse client base through proactive networking and marketing.

Tokyo, Japan

• Created a machine learning model based on GAN architectures for the unsupervised deconvolution of waveforms, permitting the detection of critical hidden features.
• Developed multi-physics (CST Studio) and particle transport (Geant4) simulations, resolving low-statistics challenges in experiments.
• Engineered electronic and data analysis solutions for antimatter experiments that contributed to first-time results in the field.

• Successfully troubleshot and operated high-noise electronic and ultra-high vacuum systems at Fermilab, rescuing a critical experiment and ensuring its success for stakeholders.
• Enhanced a Python-based particle transport simulation, improving simulation speed by over 100% and significantly improving efficiency.

Richland, Washington, United States

• Built advanced machine learning models using transformer architectures on high-performance computing systems for the automation of nuclear safeguards for the National Security Directorate.
• Authored technical reports and presented findings to stakeholders, showcasing the effectiveness and potential applications of the developed models.

• Devised machine learning methodologies to enhance particle detector performance by 35%, making a previously unsuitable particle detector viable despite conflicting requirements.
• Invented a machine learning-based technique to use particle detectors in an unprecedented manner, expanding its capabilities.
• Designed analysis software in MATLAB and MATLAB App Designer, integrating conventional signal processing with machine learning methods, resulting in a software package for the analysis of coincident-particle experiments.
• Independently operated and maintained two advanced antimatter-based surface science experiments during the pandemic, ensuring continuous research progress and maintaining experimental integrity.

• Co-led the successful development and completion of a positron beam and electron time-of-flight spectrometer, significantly enhancing the laboratory's experimental capabilities.
• Pioneered the world’s first digital positron annihilation-induced Auger-gamma coincidence spectrometer, introducing a novel method for surface analysis.
• Presented research findings at international conferences, enhancing the scientific community's understanding of antimatter interactions with surface materials.
• Mentored and guided undergraduate students, fostering a collaborative and productive research environment.
• Initiated inter-departmental collaborations, leading to the development of novel and critical implementations of machine learning-based data analysis techniques.

Physics Clinic

Tokyo, Japan

Tokyo, Japan

Mathematics Emporium

Doctor Of Philosophy - Phd, Engineering Physics/Applied Physics

• Dissertation: Development and Applications of a Multi-Functional Positron Beam for Spectroscopies of Surfaces and Interfaces • National.

Master Of Science - Ms, Physics

Bachelor Of Science (B.S.), Physics, 3.94

Activities and Societies: Phi Theta Kappa • Arlington Academy for Community College Exceptional Students in Science scholarship recipient

General Studies