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.
Ribhav
MD candidate
Expertise
Medicine, Infectious diseases, Public Health, Economic modeling, Data Science, Epidemiology, Meta-analysis, Health Economics,
Gillian
Industry expert
Expertise
Robotics, Computer Vision, Software Engineering, Arduino, Textile/Fiber Arts
William
Industry expert
Expertise
Data Science, Data Analysis and Software Development with a focus on data reporting and management
Bruno
PhD
Expertise
quantum communication, quantum optics, quantum computing, quantum dynamics, computational materials science, computational physics, machine learning (esp applications to quantum)
Johanna
PhD candidate
Expertise
Dark Matter, Dark Energy, Gravitational Lensing, Coding in python or C++, mechanics, electricity and magnetism, quantum mechanics. Projects to code physics simulations.
Tom
MA
Expertise
Music composition, music technology, human-machine interactions, music history, film scoring
Faisal
PhD
Expertise
computer science, data science, machine learning, blockchain, cloud computing, web applications, Internet of Things
Jacob
MS
Expertise
Plasma Physics, Magnetic Reconnection, x-rays, atomic physics, Plasma Diagnostics
Vedrana
PhD candidate
Expertise
AI applications in medicine, computer science, machine learning, deep learning, computer vision, biomedical data processing and analysis
Grace
PhD candidate
Expertise
molecular biology, RNA, oncology drug development, RNA Therapeutics, cancer biology, C. elegans, aging research, lipid metabolism, translational research, public health
Henry
PhD candidate
Expertise
robotics, machine learning/data science, philosophy, photography, organismal/mathematical biology
Ava
PhD
Expertise
Physics, astrophysics, galaxy evolution, observational astrophysics, computational astrophysics
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
