Graduate Education (M.S.)
Degree
Master of Science, Biostatistics
Department of Biostatistics, School of Public Health
University of Michigan, Ann Arbor, April 2020
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Synopsis
Graduated: Master of Science in Biostatics
Year 1
- Research Advisor: Dr. Brisa Sanchez (2018-2019)
- Domain: Built Infrastructue & Environmental Health
Year 2
- Research Advisor: Dr. Jian Kang (2019 - 2020)
- Domain: Machine Learning in Statistical Brain Imaging
Academic Advisor: Dr. Kelley Kidwell
. . .
Relevant Courses
Fall 2018
- BIOSTAT 601: Probability & Distribution Theory with Dr. Lu Wang
- BIOSTAT 605: Intro to SAS Programming with Stephen Salerno
- BIOSTAT 615: Statistical Computing with Dr. Jian Kang
- BIOSTAT 650: Theory & Application of Linear Regression with Dr. Mousumi Banerjee
Winter 2019
- BIOSTAT 602: Biostatistical Inference with Dr. Min Zhang
- BIOSTAT 651: Theory & Application of Generalized Linear Models with Dr.Veera Baladandayuthapani
- STATS 551 Bayesian Modeling with Dr.Yang Chen
- SI 630: Natural Language Processing (Algorithms & People) with Dr. David Jurgens
- SURVMETH 895: Methodological Seminars with Dr. Brady West
Fall 2019
- BIOSTAT 619: Clinical Trials with Dr. Kelley Kidwell
- BIOSTAT 625: Big Data Computing with Dr. Hui Jiang
- BIOSTAT 653: Theory & Application of Longitudinal Data Analysis with Dr. Zhenke Wu
- BIOSTAT 675: Survival Analysis with Dr. Yi Li
- BIOSTAT 803: Biostatistics in Cancer Seminar with Dr. Jeremy Taylor
Winter 2020
- BIOSTAT 699: Biostatiscal Investigations with Dr. Phil Boonstra, Dr. Michael Elliot, and Dr. Jeremy Taylor
- PH512: Principles of Epidemiology for Public Health with Dr. Briana Mezuk & Dr. Miatta Buxton
- PUBPOL 754: Research Seminar in Science & Technology with Dr. Jim Duderstadt
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Feel free to contact me at tureen@umich.edu
