
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.

Gabriele
PhD candidate
Expertise
physics (theoretical and observational cosmology, astro-particle physics), mathematics and statistics

Timothy
PhD candidate
Expertise
Economics, Monetary Policy, Behavioral Economics, Game Theory, Econometrics, Forecasting

Tamara
PhD candidate
Expertise
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

Danielle
PhD
Expertise
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

Taylor
PhD
Expertise
Social Psychology, Positive Psychology, Emotions, Health, Well-being, Meditation, Social Relationships, Prosocial Behavior, Culture, Social Class, Economic Inequality, Political Polarization

Howard
PhD
Expertise
political science, international relations, conflict and war, political violence, authoritarian politics, computational social science, network analysis, experiments, causal inference

Ronit
MD candidate
Expertise
Public health, biotech, medicine, data science, statistics, public policy

Christina
PhD candidate
Expertise
Environmental Politics, Comparative Politics, African Politics, Political Communication, Qualitative and Quantitative Methods

Nigel
MS candidate
Expertise
machine learning, artificial intelligence, data science, data analytics, python programming, statistics

Danielle
PhD
Expertise
Public Policy, Program Evaluation, Criminal Justice Reform, Prisoner Reentry, Education

Jeff
PhD candidate
Expertise
Statistical Analysis, artificial intelligence, machine learning, sports analytics. Statistical analysis in topics such as politics, physics, chemistry, astronomy, public health, medicine, and sports such as football, soccer, basketball, and baseball/softball. Biostatistical Analysis, including longitudinal studies and survival analysis

Andrew
PhD candidate
Expertise
Social Psychology, stereotypes and prejudice, goals and motivation., diversity science

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






