
Blake
PhD candidate
Expertise
Nuclear Physics, Astrophysics, science of historical and modern energy production

Polygence mentors are selected based on their exceptional academic background, teaching experience, and unique ability to inspire the next generation of innovative thinkers and industry leaders.

Nuclear Physics, Astrophysics, science of historical and modern energy production

Cancer, optics, imaging, nanotechnology, engineering, chemistry, electrical engineering, chemical engineering, bioengineering, biomedical engineering, pathology, laboratory medicine, transfusion medicine

quantum communication, quantum optics, quantum computing, quantum dynamics, computational materials science, computational physics, machine learning (esp applications to quantum)

physics (particle physics, biophysics), history (modern Chinese history, Soviet history, Cold War history, environmental history, intellectual history)

Neuroendocrinology, Neuroscience, Reward and Motivation, Learning and Memory, Drugs, Psychopharmacolgy, Sex differences, Psychopathology, Development, Evolution

Quantum Mechanics, Statistical Mechanics, Machine Learning, Quantum Information

Medical Imaging, Medical Physics, Machine Learning, Medical Image Analysis/Processing, Artificial Intelligence

Aerospace engineering, Mechanical Engineering, Systems Engineering, Industrial Engineering, Business

Earth sciences, planetary sciences, physics, mathematics, chemistry, spectroscopy

electromagnetic physics, physics, numerical methods, astronomy, planetary science, sensor systems/circuitry

Observational Astronomy/Astrophysics/Planetary Science/Stellar Astrophysics/Modeling/Theoretical Astrophysics

Games, Animation, Computer Graphics, Simulation, Robotics, Computer Vision, Computer Science, Business Development, Entrepreneurship, Study Skills, Math, Software Eng, AppDev, GameDev

Physics: semiconductor, quantum, astrophysics, electromagnetism, nuclear. Mathematics: algebra, calculus, data set manipulation with code. Computer science: AI model training and testing, ML applications and integration. Mechanical engineering: Heat transfer, fluid mechanics, designing practical experiements/tools