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.
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
Coding, Python, Machine Learning, Neuroscience, Data Science
Anything related to data science, machine learning and AI, social sciences, and the arts!
artificial intelligence, medicine, creative and academic writing, human development, essays, applications
computational genomics, bioinformatics, epigenetics, neurological diseases, health data science, machine learning for health data
Artificial Intelligence, Machine Learning, Computer Vision, NLP, Gren AI, LLMs
Preparation for Pre-Med or STEM Undergraduate studies. Entrepreneurship and Business. Scientific Research. Data Science and Analytics.
AI/ML, AI for Social Good, Social Computing, software and app development,
Machine Learning, Security, Privacy, Data Science, Statistics, Computer Science
Data Science, Physics & Statistics
Machine Learning and AI
social psychology, developmental psychology, moral psychology, artificial intelligence
web development, machine learning, game development, general coding, epidemiology, philosophy, theater
AI/ML, Programming, Career Guidance, Computer Science, Software Eng, AppDev
Chemistry, Computational Chemistry, Deep Learning, Material Science (Computational), Drug Design, Quantum Mechanics, Molecular Mechanics
Mental Health, Material Science, Design, Consulting, User Interface, User Experience
Beginner-friendly AI projects focused on foundational concepts and practical applications, including dataset exploration and prediction tasks, as well as engineering and robotics projects involving control systems, embedded systems, and hands-on problem-solving.
Physics and Mathematics.
artificial intelligence/machine-learning, neuroscience, computational biology/neuroscience, statistics, cancer, psychiatric illness, reading comprehension, creative and academic writing, essays, applications, computer science
Statistical Analysis, including regression analysis, machine learning, and use of R and Python. Statistical analysis in topics such as politics, physics, chemistry, astronomy, public health, and medicine. Biostatistical Analysis, including longitudinal studies and survival analysis