Biostatistics Faculty Recognized for 'Excellence in Teaching'

Each term, Bloomberg students recognize, through their course evaluations, the faculty who have contributed significantly to the intellectual life of the School through their 'Excellence in Teaching.'

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 2023-2024 academic year, these Biostatistics faculty were recognized:

Summer Institute:

Natalie J. Blades, Associate, Biostatistics
Course: Statistical Reasoning in Public Health I

Ava M. Hoffman, Associate, Biostatistics
Course: Introduction to R for Public Health Researchers

Daniel Obeng, Associate, Biostatistics
Course: Statistical Reasoning in Public Health II

Patrick Tarwater, Associate, Biostatistics
Course: Advanced Data Analysis Workshop

Carrie L. Wright, Associate, Biostatistics
Course: Introduction to R for Public Health Researchers

First Term:

Leonardo Collado Torres, Assistant Professor, Biostatistics
Course: Statistical Computing

Martin A. Lindquist, Professor, Biostatistics
Course: Advance Methods in Biostatistics I

Elizabeth L. Ogburn, Associate Professor, Biostatistics
Course: Statistical Theory I

Mei-Cheng Wang, Professor, Biostatistics
Course: Essentials of Probability and Statistical Inference I: Probability

Yuxin Zhu, Assistant Professor, Biostatistics
Course: Survival Analysis

Second Term:

Andre Hackman, Assistant Scientist, Biostatistics
Course: Introduction to Data Management

Martin A. Lindquist, Professor, Biostatistics
Course: Advanced Methods in Biostatistics II

John McGready, Teaching Professor, Biostatistics
Course: Statistical Reasoning in Public Health II

Winter Intersession: 

Ava Hoffman, Associate, Biostatistics
Course: Introduction to R for Public Health Researchers

Daniel Obeng, Associate, Biostatistics
Course: Data Analysis Workshop I

Carrie Wright, Associate, Biostatistics
Course: Introduction to R for Public Health Researchers

Third Term:

Karen Bandeen-Roche, Professor, Biostatistics
Course: Statistical Methods In Public Health III

Elizabeth Colantuoni, Research Professor, Biostatistics
Course: Methods In Biostatistics III

Marie Diener-West, Professor, Biostatistics
Course: Statistical Methods In Public Health III

Constantine Frangakis, Professor, Biostatistics
Course: Causal Inference in Medicine And Public Health I

Andre Hackman, Assistant Scientist, Biostatistics
Course: Introduction to Data Management

Aidan McDermott, Associate, Biostatistics
Course: The SAS Statistical Package: A Survey for Statisticians

Elizabeth Stuart, Professor, Biostatistics
Course: Causal Inference in Medicine and Public Health I

Margaret Taub, Associate Scientist, Biostatistics
Course: Current Topics in Biostatistics Research

Jiangxia Wang, Associate Scientist, Biostatistics
Course: Practice of Statistical Consulting

Weiqiang Zhou, Associate Scientist, Biostatistics 
Course: Current Topics in Biostatistics Research

Fourth Term:

Nilanjan Chatterjee, Professor, Biostatistics
Course: Advanced Methods for Statistical Genetics and Genomics

Elizabeth Colantuoni, Research Professor, Biostatistics
Course: Methods in Biostatistics IV

Marie Diener-West, Professor, Biostatistics
Courses: Data Analysis Workshop I; Data Analysis Workshop II

Andre Hackman, Associate Scientist, Biostatistics
Course: Introduction to Data Management

Kasper Hansen, Associate Professor, Biostatistics
Course: Advanced Statistical Computing

Hongkai Ji, Professor, Biostatistics
Course: Advanced Methods in Biostatistics IV

Aidan McDermott, Associate, Biostatistics
Course: Introduction to the SAS Statistical Package

Elizabeth Stuart, Professor, Biostatistics
Course: Causal Inference in Medicine and Public Health I

Margaret Taub, Associate Scientist, Biostatistics
Course: Current Topics in Biostatistics Research

Weiqiang Zhou, Associate Scientist, Biostatistics
Course: Current Topics in Biostatistics Research