Hi, I'm Margaret!
I am a PhD Candidate in Biostatistics at the University of Michigan. My research focuses on Accelerometry Data, particularly developing new methods to analyze Physical Activity and Sleep Data in free-living populations.
An East Coast transplant, I have lived in Ann Arbor now since 2015 - and love it (Go Blue!) Outside of working, I enjoy hiking, bookstores, coffee shops, and visiting my family.
University of Michigan
After beginning the PhD program in Fall of 2017, I achieved candidacy in May 2018
MS in Biostatistics
University of Michigan
I completed my Masters Degree in Biostatistics in May 2017
BS/BA in Math and Economics
I completed my undergraduate education in May 2011
Research and Experience
Graduate Method Research
University of Michigan, 2016- present
My dissertation research focuses on method development for analyzing Accelerometer Data, both in terms of Physical Activity and Sleep. I joined the Peter Song Lab as well as the ELEMENT (Early Life Exposures in Mexico to ENvironmental Toxicants) group for this dissertation research. I have shared my work at ENAR and JSM poster presentations in 2019 and 2018.
Graduate Applied Research
University of Michigan, 2016 - present
From 2016 to present I have worked with the Early Life Exposures in Mexico to ENvironmental Toxicants (ELEMENT) group, which is a cohort birth study in Mexico City spanning two decades and three generations. With this group I work on wide-range of data, including:
Toxicant Exposure Data
Cognitive Neuro Data
Graduate Teaching Experience
University of Michigan, 2015
In 2016 I was a Graduate Student Instructor (GSI) for the undergraduate Statistics course (Stat 250) taught within the University of Michigan.
GE Healthcare, 2012-2015
Prior to returning to graduate school, I worked as a Financial Analyst with GE Healthcare.
I began as part of the Financial Management Program (FMP), which is a two-year rotational leadership program with concentrations in Controllership, Financial Planning & Analysis, Corporate Strategy and Operational Efficiency; the program combines 4 intensive job assignments with demanding coursework in finance and accounting.
Upon completing the FMP program, I accepted a position as a Global Supply Chain FP&A Analyst
Kelley, A. S.*, Banker, M.*, Goodrich, J. M., Dolinoy, D. C., Burant, C., Domino, S. E., Smith, Y.R., Song, P.X-K., Padmanabhan, V. (2019). Early pregnancy exposure to endocrine disrupting chemical mixtures are associated with inflammatory changes in maternal and neonatal circulation. Scientific reports, 9(1), 5422. *Authors contributed equally (co-first authors)
Awarded NIEHS Extramural Paper of the Month
Puttabyatappa, M.*, Banker, M.*, Zeng, L., Goodrich, J. M., Domino, S.E., Dolinoy, D.C., Meeker, J., Pennathur, S., Song, P.X-K., Padmanabhan, V. (2019 Submitted for Publication, The Journal of Clinical Endocrinology & Metabolism). Maternal First Trimester EDC Mixtures are Associated with Sexually-Dimorphic Changes in Pregnancy Oxidative Milieu
*Authors contributed equally (co-first authors)
Jansen, E. C., Dunietz, G. L., Chervin, R. D., Baylin, A., Baek, J., Banker, M., Song, P.X-K., Cantoral, A., Rojo, M.M.T. and Peterson, K.E. (2018). Adiposity in Adolescents: The Interplay of Sleep Duration and Sleep Variability. The Journal of Pediatrics, 203, 309-316.
Jansen, E. C., Dolinoy, D. C., O'Brien, L, Peterson, K.E., Chervin, R., Banker, M., Téllez-Rojo, M.M., Cantoral, A., Mercado-Garcia, A., Sanchez, B., Goodrich, J.M. (2019 Accepted for Publication, Sleep). Sleep duration and fragmentation in relation to leukocyte DNA methylation in adolescents.
Wu, Y., Jaclyn M. Goodrich, J. M., Dolinoy, D. C., Sánchez, B.N, Ruiz-Narváez, E.A., Banker, M., Cantoral, A., Mercado-Garcia, A., Téllez-Rojo, M.M., Peterson, K.E. (2019 Submitted for Publication, Medicine & Science in Sports & Exercise). Accelerometer-Measured Physical Activity, Reproductive Hormones and DNA Methylation
Functional Data Analysis of Physical Activity Probability Curves from Personal Accelerometer Devices. Joint Statistical Meeting. Denver, CO. August, 2019.
Novel Statistical Methods to Determine Sleep Duration from Personal Wearable Accelerometer Devices. ENAR. Philadelphia, PA. March 2019.
Novel Statistical Methods to Determine Sleep Duration from Personal Wearable Accelerometer Devices. Michigan Institute for Data Science (MIDAS). Ann Arbor, MI. October, 2018.
University of Michigan
Ann Arbor, MI