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.
satellite-based navigation, model-based estimation, Kalman filters, orbital mechanics, Global Positioning System, stochastic processes, probability and statistics, MatLab coding, writing scientific papers (equation-heavy) in LaTeX, creating figures on Adobe Illustrator
neural signal processing, data science and statistics, AI/ML for medical applications
machine learning, artificial intelligence, data science, data analytics, python programming, statistics
Software Engineering, Machine Learning, Data Science, Applied AI/RAG Systems, Full-Stack Development
Environmental Politics, Comparative Politics, African Politics, Political Communication, Qualitative and Quantitative Methods
Data Science, Engineer, Statistics, Math, Design Products, engineering design process, user experience design and research, toy design, CAD/3Dprinting, prototyping and rapid manufacturing
Parenting, MRI analysis, fNIRS, substance use, mental health, emotion, statistics
Aging and aging-related diseases; maternal and child health; epidemiology; Alzheimer's disease and related dementia; frailty; cognitive decline
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
Public health, biotech, medicine, data science, statistics, public policy
biology, medicine, neuroscience, Bioinformatics, Writing, Data science and AI for health and medicine, applications of neuroimaging, Genetics, Neuroscience, Neuroimaging, data visualization using real datasets, Precision medicine and the future of healthcare
political science, international relations, conflict and war, political violence, authoritarian politics, computational social science, network analysis, experiments, causal inference
Engineering, mechanical engineering, industrial engineering, engineering mathematics, computational engineering, project management, machine learning for mechanical engineering, theory of constraints, capacity planning, flow optimization
Neuroscience of perception and action, statistics, biology, experiment design and data analysis, technical writing, integrative / multi-disciplinary science
