Sara
PhD candidate
Expertise
Astrophysics, solar cells, semiconductor devices, optoelectrical devices
Research Program Mentors
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.
Matthew
PhD
Expertise
Medical Imaging, Medical Physics, Machine Learning, Medical Image Analysis/Processing, Artificial Intelligence
Kevin
MEng
Expertise
Artificial Intelligence, Mechanical Engineering, Aerospace Engineering, Robotics, Computer Science
Isaac
MA/PHD candidate
Expertise
electromagnetic physics, physics, numerical methods, astronomy, planetary science, sensor systems/circuitry
Lily
MS
Expertise
Neuroendocrinology, Neuroscience, Reward and Motivation, Learning and Memory, Drugs, Psychopharmacolgy, Sex differences, Psychopathology, Development, Evolution
Holly
PhD
Expertise
Water treatment, nanotechnology, environmental justice, environmental engineering, green chemistry, green engineering, environmental policy, sustainable materials
John
PhD
Expertise
Observational astrophysics, Experimental Cosmology, astronomy, robotics, data science
Blake
PhD candidate
Expertise
Nuclear Physics, Astrophysics, science of historical and modern energy production
Yannick
PhD
Expertise
Chemical Engineering, Physics, Chemistry, Carbon Capture, Perovskite, Batteries
Bruno
PhD
Expertise
quantum communication, quantum optics, quantum computing, quantum dynamics, computational materials science, computational physics, machine learning (esp applications to quantum)
DaVante
PhD candidate
Expertise
Quantum Mechanics, Statistical Mechanics, Machine Learning, Quantum Information
Veronica
PhD candidate
Expertise
plasma physics, high-power lasers, power electronics, pcb design, intense laser-matter interactions, automated vehicles, policy implications for automated vehicles
Thomas
PhD candidate
Expertise
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
