statistics and data science education, active learning, bayesian statistics, causal inference, longitudinal data analysis, clinical trials
Teaching
courses taught
INFO 1111 - Introduction to Information Science: Understanding the World Through Data
Secondary Instructor
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Fall 2025
Provides a hands-on survey of key concepts and theories in Information Science, including the nature of information, everyday experience of data, technologies that generate data, and how data are conveyed and represented. Students will critically examine texts, systems, and interpretations of data from multidisciplinary perspectives. Through design explorations, activities, and group projects, students will develop facility representing and transforming information.
INFO 2301 - Quantitative Reasoning for Information Science
Primary Instructor
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Fall 2025
Introduces methods for quantifying and analyzing different types of data, covering foundational concepts in discrete mathematics, probability, and predictive modeling, along with complementary computational skills to apply these concepts to real problems. Covers counting and combinatorics, logic, set theory, introductory probability, common probability distributions, regression, and model validation. Requires demonstrated proficiency with introductory computer programming.
