Computer Science Research Program Mentors for High School Students | Polygence
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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.

Computer Science
Ryan

Ryan

PhD candidate

Expertise

biology, biotech, genetics, computational biology, bioinformatics

Leif

Leif

PhD candidate

Expertise

Machine Learning, Evolutionary Computing, Genetic Algorithms, Agent-based Modeling, Mechanism Design, NLP Data Science

Lauren

Lauren

MS candidate

Expertise

Gene editing, Disease Biology, Translational Science, Sensory Neuroscience, molecular biology, cell biology

Thor

Thor

PhD

Expertise

Economics, Transportation, Urban Planning, Data Science, Climate Change

Won

Won

PhD

Expertise

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

Emir

Emir

Industry expert

Expertise

Computer Sciences

Samantha

Samantha

MS candidate

Expertise

digital art, web design, sound design, historical fashion, herpetology, fashion, art history, game development, app development

christa

christa

PhD

Expertise

computational genomics, bioinformatics, epigenetics, neurological diseases, health data science, machine learning for health data

Cody

Cody

Industry expert

Expertise

Music, Film Scoring

Shervin

Shervin

PhD

Expertise

computational fluid dynamics, computer aided design, artificial intelligence, high performance computing, machine learning, large language models, product management

Meha

Meha

MPH candidate

Expertise

Immunology or Public Health

Jim

Jim

MS

Expertise

Any topic in data science (machine learning, applied math, statistics), web development, or chemistry.

Dante

Dante

PhD candidate

Expertise

Neuroscience, Computational Neuroscience, RNA-SEQ, Bioinformatics

Delia

Delia

MS

Expertise

Artificial intelligence(ML/NLP/DL), Computer vision & graphics

Khushi

Khushi

MS candidate

Expertise

machine learning, deep learning, computer vision, artificial intelligence

Grace

Grace

PhD candidate

Expertise

molecular biology, RNA, oncology drug development, RNA Therapeutics, cancer biology, C. elegans, aging research, lipid metabolism, translational research, public health

David

David

PhD candidate

Expertise

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

Akshay

Akshay

MS candidate

Expertise

Artificial Intelligence, Deep Learning, Machine Learning, Computer Vision, Computer Science

Ribhav

Ribhav

MD candidate

Expertise

Medicine, Infectious diseases, Public Health, Economic modeling, Data Science, Epidemiology, Meta-analysis, Health Economics,

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