
Adam
PhD
Expertise
Machine learning, causal inference, quantitative finance, biomedical engineering, and data science

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.

Machine learning, causal inference, quantitative finance, biomedical engineering, and data science

Economics, Political Science, Political Economy, Quantitative Social Science, and Public Policy

French, International Relations, International Business, Tariffs, International Trade Law

Statistical analysis, including regression, longitudinal analysis, and machine learning using R. Statistical analysis in topics such as politics, education, public health, and economics. Research design, including experimental design and survey design. Comparability studies, including propensity score matching and measurement invariance.

Film studies + production, American literature, History, Economics, Music

Music, Marketing, Communications, Media Studies, Anthropology, Ethnography, Leadership, Administration, and Operations

My areas of expertise are: Computer Science, Data Science & AI, Economics, Business & Finance, International Relations, Law, History, and Literature/Writing.

Business, technology, economics, sports analytics, Chinese language/culture/politics

International economics and global markets, public policy and policy analysis, political economy of development, trade policy and industrial strategy, technology policy and digital equity, energy systems and infrastructure economics, financial markets and market behavior, cryptocurrency and digital asset markets, data driven policy research, podcast and video explainers for economics and policy

Education Policy, Economic Research, Data Analysis, International Development Policy, Causal Inference, Gender, Education and Human Behavior related topics

Economics of the Healthcare and Pharmaceutical Industries; Drug Pricing; Competition studies in Healthcare Markets; Determinants of Health; Theory of Healthcare and Health; Entrepreneurship/Business

Finance, Artificial Intelligence and Machine Learning, Data Science, Economics, International Relations and Global Affairs, Political Economy, Financial Technology (FinTech), Behavioral Economics, Quantitative Analysis, Computational Economics, International Political Economy, Financial Regulation, Public Policy, Research and Academic Writing, Econometrics