
Nick
PhD candidate
Expertise
Aerospace engineering, Mechanical Engineering, Systems Engineering, Industrial Engineering, Business
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.
Aerospace engineering, Mechanical Engineering, Systems Engineering, Industrial Engineering, Business
Fluid Dynamics and Applied Mathematics
Physics, Math
Aerospace Engineering, Systems Engineering, Engineering Management, Process Engineering
Physics, Quantum Physics, Quantum computers, Quantum information theory, information theory, quantum optics, optics, electromagnetism, Lasers, Gravitational Wave Astronomy, LIGO, Feedback and Control Systems
physics of living systems; quantitative data analysis; computational projects; biological theory; applied mathematics
Early Universe Cosmology, particle physics, dark matter
superconductivity, batteries, physics, math, fractals, semiconductors and solar cells, sustainable energy technology, applied computer programming projects related to physics or math, STEM education improvements (either through a social lens or through pedagogy lens)
Orbital Mechanics, Spacecraft Mission Design, Spacecraft Trajectory Optimization, Stability Analysis, Orbit Determination, Kalman Filters, Analytical Methods, Optimal Control
electromagnetic physics, physics, numerical methods, astronomy, planetary science, sensor systems/circuitry
Aerospace Robotics, Autonomous Systems, Control Systems, Guidance, Navigation & Control (GNC)
plasma physics, high-power lasers, power electronics, pcb design, intense laser-matter interactions, automated vehicles, policy implications for automated vehicles
Nuclear Physics, Astrophysics, science of historical and modern energy production
Observational Astronomy/Astrophysics/Planetary Science
Physics, Physics Education Research, Science of Learning
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
Physics, particularly Quantum Physics and Condensed Matter
Middle/High/College Math and Science, Pre-Medicine, Medicine
Mathematics, Physics, Mathematical Physics, Coding, Data Analysis. My area of expertise in mathematics is symmetry, and generalized symmetries that arise in mathematical physics.
Robotics, aerodynamics, system design, drones, structures, programming, computer vision