Research Program Mentors
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.
Nathan
PhD candidate
Expertise
Chemical Engineering, Electrical Engineering, Mechanical Engineering, Optimization. Operations Research, Environmental Engineering, Applied Math
Yohely
MS
Expertise
biochemistry, bioengineering, human diseases, disease treatment, genetics, DNA/RNA, bacterial culture, anti microbial resistance, genetic sequencing, microbial testing
Aditya
PhD candidate
Expertise
computer science (including web dev and machine learning), economics (esp. game theory and/or behavioral economics), philosophy
Bruno
PhD
Expertise
quantum communication, quantum optics, quantum computing, quantum dynamics, computational materials science, computational physics, machine learning (esp applications to quantum)
Nate
PhD candidate
Expertise
Aerospace Robotics, Autonomous Systems, Control Systems, Guidance, Navigation & Control (GNC)
Henry
PhD candidate
Expertise
Elementary number theory, analytic number theory, algebraic number theory, root systems
Jeff
PhD candidate
Expertise
Statistical Analysis, including regression analysis, machine learning, and use of R and Python. Statistical analysis in topics such as politics, physics, chemistry, astronomy, public health, and medicine. Biostatistical Analysis, including longitudinal studies and survival analysis
Wyatt
PhD candidate
Expertise
Mathematics, Physics, Mathematical Physics, Coding, Data Analysis. My area of expertise in mathematics is symmetry, and generalized symmetries that arise in mathematical physics.
Nigel
MS candidate
Expertise
machine learning, artificial intelligence, data science, data analytics, python programming, statistics
Carly
PhD
Expertise
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
