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

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.

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

machine learning, deep learning, computer vision, artificial intelligence, computational biology, genomics

Quantum Mechanics, Statistical Mechanics, Machine Learning, Quantum Information

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

vehicle security, vehicle reliability, cybersecurity, applied machine learning, Computer Science, Operating System Security

Statistical Analysis, artificial intelligence, machine learning, sports analytics. Statistical analysis in topics such as politics, physics, chemistry, astronomy, public health, medicine, and sports such as football, soccer, basketball, and baseball/softball. Biostatistical Analysis, including longitudinal studies and survival analysis

social psychology, developmental psychology, moral psychology, artificial intelligence

Renewable energy (solar), heat transfer, computational materials science

Applied Machine Learning, Large Language Model, WebDev, Data Analysis, SoftwareDev

neural signal processing, data science and statistics, AI/ML for medical applications

web development, machine learning, game development, general coding, epidemiology, philosophy, theater

machine learning, artificial intelligence, data science, data analytics, python programming, statistics

computer science, data science, machine learning, blockchain, cloud computing, web applications, Internet of Things

Statistical analysis, including regression, longitudinal analysis, and machine learning using R. Statistical analysis in topics such as politics, education, public health, and economics. Research design, including experimental design and survey design. Comparability studies, including propensity score matching and measurement invariance.