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.
Shinya
MS
Expertise
Applied Physics, Applied Math, Mechanical Engineering, Data Science, and Machine Learning
Jeff
PhD candidate
Expertise
Statistical Analysis, including regression analysis, machine learning, and use of R and Python. Statistical analysis in topics such as politics, physics, chemistry, astronomy, public health, and medicine. Biostatistical Analysis, including longitudinal studies and survival analysis
Nathan
PhD candidate
Expertise
Chemical Engineering, Electrical Engineering, Mechanical Engineering, Optimization. Operations Research, Environmental Engineering, Applied Math
Bruno
PhD
Expertise
quantum communication, quantum optics, quantum computing, quantum dynamics, computational materials science, computational physics, machine learning (esp applications to quantum)
Wyatt
PhD candidate
Expertise
Mathematics, Physics, Mathematical Physics, Coding, Data Analysis. My area of expertise in mathematics is symmetry, and generalized symmetries that arise in mathematical physics.
Aakash
PhD candidate
Expertise
My work is on quantum computing but I can tutor across any subject in physics
bu
PhD
Expertise
Survey research, Statistics, Quantitative research, Data analysis, Data Visualization, Business Intelligence
William
PhD candidate
Expertise
Orbital Mechanics, Spacecraft Mission Design, Spacecraft Trajectory Optimization, Stability Analysis, Orbit Determination, Kalman Filters, Analytical Methods, Optimal Control
Fatak
Industry expert
Expertise
Aerospace Engineering; Flight Software Design; Modeling and Simulation; Bioastronautics
Hannah
MSE
Expertise
Games, Animation, Computer Graphics, Simulation, Robotics, Computer Vision, Computer Science, Business Development, Entrepreneurship, Study Skills, Math, Software Eng, AppDev, GameDev
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
Johanna
PhD candidate
Expertise
Dark Matter, Dark Energy, Gravitational Lensing, Coding in python or C++, mechanics, electricity and magnetism, quantum mechanics. Projects to code physics simulations.
