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

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.

Chemical Engineering, Electrical Engineering, Mechanical Engineering, Optimization. Operations Research, Environmental Engineering, Applied Math

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

Mathematics, Physics, Mathematical Physics, Coding, Data Analysis. My area of expertise in mathematics is symmetry, and generalized symmetries that arise in mathematical physics.

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

Aerospace Engineering; Flight Software Design; Modeling and Simulation; Bioastronautics

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

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

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

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

Observational Astrophysics, Computational Astrophysics, Exoplanets, High Contrast imaging, Stellar Nucleosynthesis, Quantum Physics, Quantum Computing

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

coding, calculus, modeling, online game creation, epidemiology, biostatistics