Biostatistics Faculty Recognized as Exceptional Teachers
Through their course evaluations, Bloomberg students recognize faculty who have contributed significantly to the intellectual life of the School through their excellence in teaching.
Each term, Bloomberg faculty are given recognition by the academic deans for their dedication to teaching, based on excellent rankings on the official course evaluations by students.
Honorees are those instructors who received an average score of 3.6 or above (on a four-point scale) in both the Overall Course and Overall Instructor categories of their student course evaluations with a response rate of 70% or higher.
Excellence in teaching stimulates intellectual curiosity in students and prepares them to address the most challenging public health problems facing the world today.
For the 2024–2025 academic year, these Biostatistics faculty have been recognized so far:
Summer Institute:
Andre Hackman, Associate Scientist
Course: Introduction to Data Management
Ava Hoffman, Associate
Course: Introduction to R for Public Health Researchers
Jenna Krall, Associate
Course: Data Analysis Workshop I
Aidan McDermott, Associate
Course: Introduction to the SAS Statistical Package
Carrie Wright, Associate
Course: Introduction to R for Public Health Researchers
Yuxin Zhu, Assistant Professor
Course: Multilevel Models
First Term:
Leonardo Collado Torress, Assistant Professor
Course: Statistical Computing
Jonathan Gellar, Associate
Course: Public Health Statistics II
Martin Lindquist, Professor
Course: Advanced Methods in Biostatistics I
John McGready, Teaching Professor
Course: Statistical Reasoning in Public Health I
Elizabeth Ogburn, Associate Professor
Course: Statistical Theory I
Margaret Taub, Senior Scientist
Course: Current Topics in Biostatistics Research
Chenguang Wang, Associate
Course: Biostatistics in Medical Product Regulation
Weiqiang Zhou, Associate Scientist
Course: Current Topics in Biostatistics Research
Yuxin Zhu, Assistant Professor
Course: Survival Analysis
Winter Institute:
Ava Hoffman, Associate
Course: Introduction to R for Public Health Researchers
Daniel Obeng, Associate Scientist
Course: Data Analysis Workshop I
Carrie Wright, Associate
Course: Introduction to R for Public Health Researchers
Second Term:
Andre Hackman, Associate Scientist
Course: Introduction to Data Management
Stephanie Hicks, Associate Professor
Course: Statistical Programming Paradigms and Workflows
Ava Hoffman, Associate
Course: Introduction to R for Public Health Researchers
Ji Soo Kim, Assistant Professor
Course: Multilevel and Longitudinal Models – Data Analysis Workshop
Martin Lindquist, Professor
Course: Advanced Methods in Biostatistics II
John McGready, Teaching Professor
Course: Statistical Reasoning in Public Health II
Michael Rosenblum, Professor
Course: Probability Theory II
Margaret Taub, Senior Scientist
Course: Current Topics in Biostatistics Research
Scott Zeger, John C. Malone Professor
Course: Multilevel and Longitudinal Models – Data Analysis Workshop
Weiqiang Zhou, Associate Scientist
Course: Current Topics in Biostatistics Research
Third Term:
Nilanjan Chatterjee, Professor
Course: Principles of Genetic Epidemiology III
Frank Curriero, Professor
Courses: Applied Spatial Statistics; Spatial Analysis III: Spatial Statistics
Abhirup Datta, Associate Professor
Course: Probability Theory III
Constantine Frangakis, Professor
Course: Causal Inference in Medicine and Public Health I
Andre Hackman, Associate Scientist
Course: Introduction to Data Management
Hongkai Ji, Professor
Course: Advanced Methods in Biostatistics III
Aidan McDermott, Associate
Course: The SAS Statistical Package: A Survey for Statisticians
Daniel Obeng, Associate Scientist
Course: Statistical Methods in Public Health III
Elizabeth Stuart, Professor
Courses: Causal Inference in Medicine and Public Health I; The Role of Quantitative Methods in Public Health
Jiangxia Wang, Associate Scientist
Course: Practice of Statistical Consulting