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.
psychology, neuroscience, cognition, reasoning, research methods, computation, statistics, naturalistic behavior, reinforcement learning, neuroeconomics, decision making, memory, navigation, Computational Neuroscience, Decision Making
Machine Learning, Data Science and Analytics, Data Structures and Algorithms, People Management, Computer Vision
Econometrics & statistics, macroeconomics, economic policy, economic history, finance
computation, hurricanes, climate change resilience, probability and statistics
Education, Public Policy, Racial Inequality
Cancer Biology, Biomedical Engineering, Biology, Biotechnology, Data Analysis, tissue engineering, Healthcare, Public Health, Patient Care Perspectives
Digital Mental Health, Research Methods and Design, Child and Adolescent Development, Eating Disorders Prevention and Treatment
neuroscience, neuropsychology, learning, memory, neuroimaging, psychometrics, clinical psychology, aging, Alzheimer's disease, statistics, community engagement, mental health
Public Health, Public Policy, Political Science, Survey Methods, Sexual & Reproductive Health
Statistics, math, machine learning, data science, data analytics, health care
Clinical (i.e., abnormal) psychology, child psychology, developmental psychopathology, cognitive development, research methods, basic statistics (e.g., ANOVA, regression)
Community psychology, social policy, statistics, quantitative and qualitative research
Business, Sports Analytics, Engineering, Basic Finance, Communication/Public Speaking
psychology (affective science/clinical, developmental, and social), neuroscience, research methods, statistics
Research, Social Science, Gender Studies, Intersectionality, Applied Statistics, Data Science, Equality and Diversity
Clinical psychology, geropsychology, mental health, dementia, research methods & statistics, integration of psychology and philosophy
Statistics, Mathematics, Data Analysis
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
educational psychology, education policy, multicultural education, motivation, belonging, racial/ethnic identity
Political psychology, Political behavior, Public opinion, Political Science, American Politics, Survey research, Social networks, GIS in R, R programming, Text as data, Machine Learning, Data visualization, Data science
