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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.

Published

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

2023-24 Recognition