
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.

Alice
PhD candidate
Expertise
bioinformatics, machine learning, cancer, drug discovery, drug development, translational science, startup, academia

Yash
MS candidate
Expertise
Electrical and Computer Engineering/Computer Science/Scientific Simulation/Chip Design/Software Engineering

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

Baxter
PhD candidate
Expertise
Mental Health, Material Science, Design, Consulting, User Interface, User Experience

Sejal
MS
Expertise
Data Science, Data Analytics, Machine Learning, Sports Analytics, Natural Language Processing, Data Visualization, Computer Science, Biotechnology

Khushi
PhD candidate
Expertise
machine learning, deep learning, computer vision, artificial intelligence, computational biology, genomics

Kimi
PhD candidate
Expertise
human-computer interaction, social media, tech ethics, AI ethics, privacy, UX design, computer science, social psychology, cognitive psychology

Matthew
PhD
Expertise
Medical Imaging, Medical Physics, Machine Learning, Medical Image Analysis/Processing, Artificial Intelligence

David
PhD candidate
Expertise
Cognitive neuroscience, psychology, biomedical engineering, electical & computer engineering, machine learning

Mahbaneh
PhD
Expertise
Artificial Intelligence, Machine Learning, Computer Vision, NLP, Gren AI, LLMs

Adam
PhD
Expertise
Machine learning, causal inference, quantitative finance, biomedical engineering, and data science

Madeline
PhD
Expertise
social psychology, developmental psychology, moral psychology, artificial intelligence

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

Keith
MD/PhD candidate
Expertise
Molecular Biology, AI genetics, chemistry, developmental biology, Coding,

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

Tristan
PhD
Expertise
Data science, AI, machine learning, sustainability, renewable energy, weather, climate, ecology, endangered species conservation, marine biology, biodiversity, microplastics, satellite data, remote sensing



