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

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.

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

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

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

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

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

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

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

Quantum Mechanics, Statistical Mechanics, Machine Learning, Quantum Information

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