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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.

AI/ML
Xiao

Xiao

PhD

Expertise

Cryptography, Privacy-Preserving AI/ML, Homomorphic Encryption, GenAI & Social Media Psychology, Computer Vision, and Clinical AI (Informatics & Medical Imaging)

Kelly

Kelly

PhD candidate

Expertise

Computer Science

Mark

Mark

PhD

Expertise

neuroengineering, brain-computer interfaces, neuromorphic engineering, computational neuroscience, electronics, computer science, signal processing, robotics

Khushi

Khushi

PhD candidate

Expertise

machine learning, deep learning, computer vision, artificial intelligence, computational biology, genomics

Jeremy

Jeremy

PhD

Expertise

chemistry, physics, machine learning, computational modeling, programming, quantum chemistry

Keith

Keith

MD/PhD candidate

Expertise

Molecular Biology, AI genetics, chemistry, developmental biology, Coding,

Kristina

Kristina

MS candidate

Expertise

Anything involving the mind, brain, and behavior

DaVante

DaVante

PhD candidate

Expertise

Quantum Mechanics, Statistical Mechanics, Machine Learning, Quantum Information

Hossein

Hossein

PhD

Expertise

Data Science, Machine Learning, Deep Learning, Computer Vision, Large Language Models, Natural Language Processing, Cloud computing, Chemical Engineering, Thermodynamic modeling, Process Modeling

Micah

Micah

PhD candidate

Expertise

AI for precision medicine, software engineering, biomedical engineering, deep learning, medical imaging, computer vision

Hirsh

Hirsh

PhD candidate

Expertise

Technology Policy, Web Development, Cyberdefense/Cybersecurity, Election Security

Thomas

Thomas

PhD candidate

Expertise

Physics: semiconductor, quantum, astrophysics, electromagnetism, nuclear. Mathematics: algebra, calculus, data set manipulation with code. Computer science: AI model training and testing, ML applications and integration. Mechanical engineering: Heat transfer, fluid mechanics, designing practical experiements/tools

Shervin

Shervin

PhD

Expertise

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

David

David

PhD

Expertise

neural signal processing, data science and statistics, AI/ML for medical applications

Delia

Delia

MS

Expertise

Artificial intelligence(ML/NLP/DL), Computer vision & graphics

Priyam

Priyam

PhD candidate

Expertise

Artificial Intelligence, Computer Vision, Natural Language Processing, Neuroscience

Shomik

Shomik

PhD candidate

Expertise

Renewable energy (solar), heat transfer, computational materials science

Won

Won

PhD

Expertise

Machine Learning, Security, Privacy, Data Science, Statistics, Computer Science

Alex

Alex

PhD candidate

Expertise

ML for software engineering, automatic code generation, interpreting neural networks

Joe

Joe

PhD

Expertise

AI, machine learning, deep learning, data science, natural language processing, signal processing, image processing, computational modeling, biophysical modeling, statistics, biomedical engineering, medical devices, neuromodulation, movement disorders