Biostatistics Faculty Recognized for 'Excellence in Teaching'
Bloomberg students recognize faculty who have contributed significantly to the intellectual life of the School through their 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