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

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.

Elementary number theory, analytic number theory, algebraic number theory, root systems

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

All aspects of quantum computing including quantum error correction and quantum algorithms, interdisciplinary data-driven projects such as those related to bioinformatics, theoretical and computational physics

Entrepreneurship, psychology, personal development, public speaking, hosting, Fashion and styling, consulting, and advisory

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

Economics, Monetary Policy, Behavioral Economics, Game Theory, Econometrics, Forecasting

Pure Mathematics: Algebraic Geometry, Abstract Algebra, or Real Analysis

Math, Economics, Microeconomics, Antitrust, Social Sciences, Law, Finance, Strategy

Fluids, heat transfer, numerical modeling, strength of materials, mechanical engineering, chemical engineering

Applied Physics, Applied Math, Mechanical Engineering, Data Science, and Machine Learning