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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
Michael

Michael

MS

Expertise

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

Keith

Keith

MD/PhD candidate

Expertise

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

Alice

Alice

PhD candidate

Expertise

bioinformatics, machine learning, cancer, drug discovery, drug development, translational science, startup, academia

Yilan

Yilan

PhD

Expertise

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

Liam

Liam

PhD

Expertise

Physics, Quantum Computing, Computational Physics

Alex

Alex

PhD candidate

Expertise

ML for software engineering, automatic code generation, interpreting neural networks

Vardhan

Vardhan

PhD candidate

Expertise

NLP, LLMs, Agentic AI, Computer Vision, Deep Learning Research

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

Surabhi

Surabhi

MS

Expertise

Statistics, Mathematics, Data Analysis

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

Hieu

Hieu

PhD

Expertise

Machine Learning in Finance and Computer Vision, Sentimental Analysis, NLP, Data Science

Won

Won

PhD

Expertise

Machine Learning, Security, Privacy, Data Science, Statistics, Computer Science

Micah

Micah

PhD candidate

Expertise

AI for precision medicine, software engineering, biomedical engineering, deep learning, medical imaging, computer vision

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.

Faisal

Faisal

PhD

Expertise

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

Kristina

Kristina

MS candidate

Expertise

Anything involving the mind, brain, and behavior

Ennis

Ennis

PhD candidate

Expertise

Physics and Mathematics.

Mina

Mina

PhD candidate

Expertise

Data Science, Machine Learning, Data Analytics, Statistics

Jeff

Jeff

PhD candidate

Expertise

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

Nathan

Nathan

PhD candidate

Expertise

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