
Ben
MA candidate
Expertise
Math, Economics, Microeconomics, Antitrust, Social Sciences, Law, Finance, Strategy

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.

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

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

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)

Survey research, Statistics, Quantitative research, Data analysis, Data Visualization, Business Intelligence

Theoretical computer science (algorithms & game theory), discrete mathematics, data science, organic chemistry

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

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

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

Data Science, Engineer, Statistics, Math, Design Products, engineering design process, user experience design and research, toy design, CAD/3Dprinting, prototyping and rapid manufacturing

coral biology, environmental changes, marine ecosystems, applications of math to ecology, how ocean dynamics affect marine life, how organisms specialize for their environments, how hybridization affects the potential of species, using models to connect to real-world systems, interactions of social factors and the environment, spatial statistics projects, symbiosis, landscape genetics, microbial interactions