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.
Bruno
PhD
Expertise
quantum communication, quantum optics, quantum computing, quantum dynamics, computational materials science, computational physics, machine learning (esp applications to quantum)
Kimberly
PhD
Expertise
biomechanics, biotechnology, student government, orthopedics, mechanics, consulting
Shanille
MS
Expertise
Global Health, Mental Health, Women's and Children's Health, Health Systems, International Relations, Sustainability, Epidemiology, Biostatistics, Algebra, Cell Culture, Tissue Engineering, Cell Biology, Reproductive Rights, Sub-Saharan African Development
Advaitha
Industry expert
Expertise
Biomedical engineering, electrical and computer engineering, digital health, digital therapeutics, neuro-engineering
Micah
PhD candidate
Expertise
AI for precision medicine, software engineering, biomedical engineering, deep learning, medical imaging, computer vision
Yohely
MS
Expertise
biochemistry, bioengineering, human diseases, disease treatment, genetics, DNA/RNA, bacterial culture, anti microbial resistance, genetic sequencing, microbial testing
Saumya
MS candidate
Expertise
Chemistry (general, organic, biochem), Biology (general, genetics, microbiology), Medical/Healthcare Sciences (hydrogel technology, tissue engineering, biomaterials)
Omar
PhD
Expertise
Biomedical Engineering, STEM in general, medical, prosthetics, Electronics, Robotics
Jai'La
DEng candidate
Expertise
Engineering, Computer Aided Design (CAD), human robot interaction, assistive robots, resume help/interview tips
Gillian
Industry expert
Expertise
Robotics, Computer Vision, Software Engineering, Arduino, Textile/Fiber Arts
Abhishek
MD candidate
Expertise
My degrees are in Biomedical Engineering from Columbia University and a Masters in Bioengineering from UCSD. I am an expert in tissue engineering, drug delivery, imaging analysis and disease.
