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

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.

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

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

data science, computer science, computational linguistics, natural language processing, web scraping (Twitter) and analytics, probability theory, statistics, calculus

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

biochemistry, bioengineering, human diseases, disease treatment, genetics, DNA/RNA, bacterial culture, anti microbial resistance, genetic sequencing, microbial testing

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)

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

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

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

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