October 28, 2025Anand Vidyashankar's research looks at the legal and operational aspects of statistical privacy—developing frameworks that help organizations translate mathematical guarantees into verifiable compliance procedures.
Research Interests: Big Data Analytics, probability distributions, Risk Management, and Insurance
Research Interests: Empirical bayes, sequential analysis, high-dimensional data analysis, large scale inference.
Research Interests: Machine learning, statistics computing, heteroscedastic mixed-effects models, spatial data analysis, bayesian statistics, high dimensional data analysis.
Research Interests: Data science, causal inference, survey methods, longitudinal data, official statistics, open data, citizen science/crowdsourcing/participatory government, urban analytics, public policy.
Research Interests: Data science, statistics for big or high-dimensional data, simultaneous inference, multiple comparisons, selection bias, measurement errors, mixtures, causal inference, semi and nonparametric analysis, machine learning, biostatistics, random fields, crowdsourcing, EHR and Text analysis, the interface of statistics and computer science, and other interdisciplinary work.
Research Interests: Statistical computing, extreme value theory, biometric human recognition.
Research Interests: Bioinformatics and biopharmaceutical statistics, robust inference, branching process, risk theory.
Research Interests: Applied probability, mathematics education, statistics education, history of mathematics, history of statistics, foundations of mathematics
