Selected Publications

Recent Publications

. A Multi-Study Coordinated Meta-Analysis of Pulmonary Function and Cognition in Aging. EJEP, 2018.


. Transitions across cognitive states and death among older adults in relation to education: A multistate survival model using data from six longitudinal studies. Alzheimers Dement, 2018.

Code Project Source Document

. Independent and interactive impacts of hypertension and diabetes mellitus on verbal memory: A coordinated analysis of longitudinal data from England, Sweden, and the United States. EJEP, 2016.

Source Document

Recent & Upcoming Talks

Example Talk
Sat, Jun 1, 2030 13:00

Recent Posts

More Posts

TL;DR A quick demonstration of transforming data from wide to long format usingtidyr::gather() and tidyr::spread() functions. Fully reproducible example with a simple dataset. Packages used in this demonstration: library(magrittr) # pipes requireNamespace("dplyr") requireNamespace("readr") I. Exposition Consider the following dataset that captures bullying measure for three respondents over several waves of observation: ds_wide %>% dplyr::glimpse() Observations: 3 Variables: 11 $ SUBNO <dbl> 1001, 1002, 1003 $ FEMALE <dbl> 0, 1, 0 $ RACE <dbl> 2, 3, 1 $ AGE_0 <dbl> 15, 13, 12 $ AGE_1 <dbl> NA, 14, 13 $ AGE_2 <dbl> NA, 15, 14 $ AGE_3 <dbl> NA, 16, 15 $ BULLYING_0 <dbl> 3.


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Data Science Studio

Learning space for graph-making and reproducible analytics in health research

Health System Impact Fellowship

CIHR initiative to embed PhD graduates within healthcare organizations for greater impact

IALSA: Amsterdam

Replicating multistate models of cognitive decline across longitudinal studies of ageing and estimating healthy life expectancies.

IALSA: Groningen

Data science of harmonization: an approach to implementing and annotating harmonization decisions

IALSA: Portland

IALSA-2017-Portland workshop performs a coordinated analysis with replication (CAwR) across 10 longitudinal studies investigating the decline in physical and cognitive functioning during later adulthood using bivariate growth curve models.


My research practice is tightly intertwined with my teaching philosophy: I am a strong proponent of open science, reproducible research, and programming literacy among scientists. While at University of Victoria, Dr. Andrea Piccinin and I received a teaching grant ($10,000) to develop an Introduction to Statistical Modeling for Social Sciences for graduate students that emphasized these skills and allowed students to develop practical, hands-on data science skills, while retaining the focus and rigor of an introductory statistical course.

In the summer of 2017, Dr. Ken Moselle and I were invited by Dr. Scott Hofer to co-develop an experimental course on Statistical Analysis of Administrative Health and Linked Longitudinal Encounter Data aimed at fostering the development of novel research tracks employing clinical transactional data of VIHA. Approaching teaching as training my future colleagues brought me generous dividends, both in terms of positive student evaluations, fulfilling professional relationships, and active partnerships for my current and future work. Looking forward, I would like to capitalize on my experience in organizing and managing multinational teams of researchers to develop learning environments that could bring people together via remote participation and make the most out of online learning.