Hannah
MSE
Expertise
Games, Animation, Computer Graphics, Simulation, Robotics, Computer Vision, Computer Science, Business Development, Entrepreneurship, Study Skills, Math, Software Eng, AppDev, GameDev
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.
Yannick
PhD
Expertise
Chemical Engineering, Physics, Chemistry, Carbon Capture, Perovskite, Batteries
Mohamed
MS candidate
Expertise
Biomedical Engineering, neuroscience, cell biology, lab automation, animal behavior
Shervin
PhD
Expertise
computational fluid dynamics, computer aided design, artificial intelligence, high performance computing, machine learning, large language models, product management
Keith
MD/PhD candidate
Expertise
Molecular Biology, AI genetics, chemistry, developmental biology, Coding,
Alissa
PhD
Expertise
Mechanical engineering, Electrochemistry (batteries, fuel cells, etc.)., Applied Mechanics, Energy Storage, Energy Policy, Materials Science
Jacob
MS
Expertise
Plasma Physics, Magnetic Reconnection, x-rays, atomic physics, Plasma Diagnostics
Micah
PhD candidate
Expertise
AI for precision medicine, software engineering, biomedical engineering, deep learning, medical imaging, computer vision
Advaitha
Industry expert
Expertise
Biomedical engineering, electrical and computer engineering, digital health, digital therapeutics, neuro-engineering
Finosh
PhD
Expertise
Cell biology, molecular biology, cardiology, regenerative medicine, tissue engineering, stem cells, genomics, and any topic in biology, medicine and biomaterials.
Cheyenne
MEng candidate
Expertise
Cell & Tissue Engineering, Cancer (Immuno Oncology), IF Imaging, Digital Pathology, Immunology, Pharmacology, Bioluminescence, Surgical Imaging Technologies, Medical Technologies
Margaret
MBA candidate
Expertise
MBA, Supply Chain Operations, Chemical Engineering, Film Production
Pavithran
MD/PhD candidate
Expertise
Cell signaling, cancer biology, mathematical modeling of biochemical networks, cancer immunotherapy