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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.

AI/ML
Hirsh

Hirsh

PhD candidate

Expertise

Technology Policy, Web Development, Cyberdefense/Cybersecurity, Election Security

Keith

Keith

MD/PhD candidate

Expertise

Molecular Biology, AI genetics, chemistry, developmental biology, Coding,

Faisal

Faisal

PhD

Expertise

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

Madeline

Madeline

PhD

Expertise

social psychology, developmental psychology, moral psychology, artificial intelligence

Kelly

Kelly

PhD candidate

Expertise

Computer Science

Noah

Noah

PhD candidate

Expertise

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

Jeff

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

Kevin

Kevin

MEng

Expertise

Artificial Intelligence, Mechanical Engineering, Aerospace Engineering, Robotics, Computer Science

Nathan

Nathan

PhD candidate

Expertise

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

Shomik

Shomik

PhD candidate

Expertise

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

Yash

Yash

MS candidate

Expertise

Electrical and Computer Engineering/Computer Science/Scientific Simulation/Chip Design/Software Engineering

Yixi

Yixi

MBA

Expertise

business, business analytics, data, data visualization, data analysis, marketing, power BI, Business, Management Science, Engineering, Food science & Food Processing Engineering, Google Analytics, cloud, cloud computing, enterprise tech infrastructure, Artificial intelligence (AI)/ Machine Learning (ML) application for business

David

David

PhD candidate

Expertise

Cognitive neuroscience, psychology, biomedical engineering, electical & computer engineering, machine learning

Lucas

Lucas

Industry expert

Expertise

Coding, Python, Machine Learning, Neuroscience, Data Science

Kristina

Kristina

MS candidate

Expertise

Anything involving the mind, brain, and behavior

Yilan

Yilan

PhD

Expertise

method development to better understand the disease causes, applications of machine learning/deep learning in biology

Thomas

Thomas

PhD candidate

Expertise

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

Montserrat

Montserrat

PhD

Expertise

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.

Mina

Mina

PhD candidate

Expertise

Data Science, Machine Learning, Data Analytics, Statistics

Ryan

Ryan

PhD

Expertise

physics, astronomy, computational astrophysics, fusion, quantum computing, Reviewing Dark Matter Models, AI/Machine Learning Applied to the Characterization of Exoplanets Observed by JWST, Fermi Analysis of the Drake Equation, cybersecurity, quantum-resistant encryption