
Arpit
MS
Expertise
AI/ML, Programming, Career Guidance, Computer Science, Software Eng, AppDev
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, Programming, Career Guidance, Computer Science, Software Eng, AppDev
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.
Mathematics, Computing
Immunology or Public Health
Medicine, Infectious diseases, Public Health, Economic modeling, Data Science, Epidemiology, Meta-analysis, Health Economics,
Astrodynamics, orbital mechanics, spacecraft trajectory design and navigation, Aerospace Engineering, and robotics
quantum communication, quantum optics, quantum computing, quantum dynamics, computational materials science, computational physics, machine learning (esp applications to quantum)
biology, biotech, genetics, computational biology, bioinformatics
Computer Science, Software Development, Data Structures & Algorithms, Computer Architecture, Operating Systems, Embedded Systems, Computer Networking
Machine Learning, Security, Privacy, Data Science, Statistics, Computer Science
Neuroscience, Neurodegeneration, Mathematics, Computer Programming, Dynamical Systems Analysis, Ordinary and Partial Differential Equations, Computational Neuroscience, Computational Physiology, Python, Matlab, Java
intersections of mathematics, applied economics, econometrics, computer science
iOS, Swift, General computer science, Computer Science, Software Eng, AppDev
Economics, Machine Learning
physics of living systems; quantitative data analysis; computational projects; biological theory; applied mathematics
Cryptography, Machine Learning, Algorithm
robotics, machine learning/data science, philosophy, photography, organismal/mathematical biology
Machine Learning and AI
combinatorics, graph theory, algebra, math but make it girlypop, girlypop but make it math, co-opting math content from one area and using it in wildly incompatible (but not really) areas
Data Science, Data Analysis and Software Development with a focus on data reporting and management