
Anne-Katherine
PhD
Expertise
Early Universe Cosmology, particle physics, dark matter
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.
Early Universe Cosmology, particle physics, dark matter
Chemical Engineering, Physics, Chemistry, Perovskite, Batteries
Astrophysics, solar cells, semiconductor devices, optoelectrical devices
Computer Sciences
Bioengineering, bioinformatics, math, physics
physics, systems neuroscience, microscopy, neural correlates of behavior
Physics, Quantum Physics, Quantum computers, Quantum information theory, information theory, quantum optics, optics, electromagnetism, Lasers, Gravitational Wave Astronomy, LIGO, Feedback and Control Systems
Aerospace Engineering
Neuroendocrinology, Neuroscience, Reward and Motivation, Learning and Memory, Drugs, Psychopharmacolgy, Sex differences, Psychopathology, Development, Evolution
astronomy, physics, space sciences, observational astronomy, galaxies, star formation, special relativity, general relativity
Earth sciences, planetary sciences, physics, mathematics, chemistry, spectroscopy
physics, astronomy, computational astrophysics, fusion, quantum computing, Reviewing Dark Matter Models, AI/Machine Learning Applied to the Characterization of Exoplanets Observed by JWST, Fermi Analysis of the Drake Equation, cybersecurity, quantum-resistant encryption
Materials Sciences/ Applied Physics / Electrical Engineering
Artificial Intelligence, Mechanical Engineering, Aerospace Engineering, Robotics, Computer Science
Biophysics, chemistry, biology and physiology, anatomy, medicine, surgery
Mathematics, Physics, Mathematical Physics, Coding, Data Analysis. My area of expertise in mathematics is symmetry, and generalized symmetries that arise in mathematical physics.
Plasma Physics, Aerospace, Mechanical Engineering, Applied Mathematics, Computational Fluid Dynamics
quantum communication, quantum optics, quantum computing, quantum dynamics, computational materials science, computational physics, machine learning (esp applications to quantum)
Computational/Theoretical Biological Physics
plasma physics, high-power lasers, power electronics, pcb design, intense laser-matter interactions, automated vehicles, policy implications for automated vehicles