
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.

Gillian
Industry expert
Expertise
Robotics, Computer Vision, Software Engineering, Arduino, Textile/Fiber Arts

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

Amin
PhD
Expertise
Membrane separation/membrane synthesis, online scheduling and optimization, reaction chemistry, heat/mass transport, and thermodynamics.

Henry
PhD candidate
Expertise
robotics, machine learning/data science, philosophy, photography, organismal/mathematical biology

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

Cheyenne
MEng candidate
Expertise
Cell & Tissue Engineering, Cancer (Immuno Oncology), IF Imaging, Digital Pathology, Immunology, Pharmacology, Bioluminescence, Surgical Imaging Technologies, Medical Technologies

Diya
MEng
Expertise
Engineering, mechanical engineering, industrial engineering, engineering mathematics, computational engineering, project management, machine learning for mechanical engineering, theory of constraints, capacity planning, flow optimization

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

Julianne
PhD
Expertise
Chemical and Environmental Engineering, Water-Energy Nexus, water treatment, Public Policy

Archie
PhD
Expertise
Biomedical Engineering, Deep Learning, Personal Finance, Website Development, Machine Learning, Statistics, Biomaterials, Biomechanics, Bioimaging, Image Processing, Nuclear Medicine, Tissue Engineering, Material Science, Disease Modeling, Cancer Research, Personal Development

Micah
PhD candidate
Expertise
AI for precision medicine, software engineering, biomedical engineering, deep learning, medical imaging, computer vision








