
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.

Terra
PhD candidate
Expertise
All aspects of quantum computing including quantum error correction and quantum algorithms, interdisciplinary data-driven projects such as those related to bioinformatics, theoretical and computational physics

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

Hirsh
PhD candidate
Expertise
Technology Policy, Web Development, Cyberdefense/Cybersecurity, Election Security

Samantha
MS candidate
Expertise
digital art, web design, sound design, historical fashion, herpetology, fashion, art history, game development, app development

Megan
MD/PhD candidate
Expertise
Medicine, biostatistics, bioinformatics, neuroscience, autism, athletics, big data, disparities

bu
PhD
Expertise
Survey research, Statistics, Quantitative research, Data analysis, Data Visualization, Business Intelligence

William
Industry expert
Expertise
Data Science, Data Analysis and Software Development with a focus on data reporting and management

Ribhav
MD candidate
Expertise
Medicine, Infectious diseases, Public Health, Economic modeling, Data Science, Epidemiology, Meta-analysis, Health Economics,

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

Bruno
PhD
Expertise
quantum communication, quantum optics, quantum computing, quantum dynamics, computational materials science, computational physics, machine learning (esp applications to quantum)

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

Joshua
PhD candidate
Expertise
Bioinformatics, computational biology, immunology, stem cell biology, cancer biology, robotics, and data science.

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






