
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.

Amanda
MS
Expertise
combinatorics, graph theory, algebra, math but make it girlypop, girlypop but make it math, co-opting math content from one area and using it in wildly incompatible (but not really) areas

Timothy
PhD candidate
Expertise
Economics, Monetary Policy, Behavioral Economics, Game Theory, Econometrics, Forecasting

Henry
PhD candidate
Expertise
Elementary number theory, analytic number theory, algebraic number theory, root systems

Shinya
MS
Expertise
Applied Physics, Applied Math, Mechanical Engineering, Data Science, and Machine Learning

Claire
PhD candidate
Expertise
Resource recovery, water and wastewater treatment, renewable energy, air pollution control in environmental engineering, data analysis using R programming, engineering for developing communities (WASH), environmental sustainability, nanotechnology, electrochemistry

Shae
PhD candidate
Expertise
coding, calculus, modeling, online game creation, epidemiology, biostatistics

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

William
PhD candidate
Expertise
Orbital Mechanics, Spacecraft Mission Design, Spacecraft Trajectory Optimization, Stability Analysis, Orbit Determination, Kalman Filters, Analytical Methods, Optimal Control

Nathan
PhD candidate
Expertise
Chemical Engineering, Electrical Engineering, Mechanical Engineering, Optimization. Operations Research, Environmental Engineering, Applied Math

Ogechi
MBA candidate
Expertise
Entrepreneurship, psychology, personal development, public speaking, hosting, Fashion and styling, consulting, and advisory

Ayah
MSE candidate
Expertise
Mathematics (algebra, pre-calc & calc), Advanced Mathematics (differential equations, linear algebra), applications and concepts in Electrical Engineering, Probability and Data Science








