J. Cai Gillis
caigillis@mail.harvard.edu
Educational Background
Harvard School of Public Health, Boston, MA
Doctor of Science (In progress), Epidemiology; Department of Epidemiology
(Expected graduation date 2018) – Epidemiology of Aging Program
o GPA 3.9
o Courses in Epidemiologic Methods, Biostatistics, Psychiatric Epidemiology
Oregon Health & Science University, Portland, OR
Master of Public Health, Epidemiology & Biostatistics; Department of Public Health & Preventive Medicine
2013
o GPA 3.9
o Courses in Epidemiology, Biostatistics, Research Design
o Thesis – Fall Risk in Relation to Bioavailable Vitamin D: The Osteoporotic Fractures in Men (MrOS) Study.
The University of Texas at Dallas, Richardson, TX
Bachelor of Arts, Psychology; School of Brain and Behavioral Sciences
o Summa Cum Laude
o Honors Thesis
Abstracts
American Society for Bone and Mineral Research Annual Meeting, 2013
Fall Risk in Relation to Bioavailable Vitamin D: The Osteoporotic Fractures in Men (MrOS) Study.
J Cai Gillis, Lynn Marshall, Jodi Lapidus, Iva Miljkovic, Amy H Warriner, Jeffrey R Curtis, Tien Dam, James M Shikany, Peggy M
Cawthon, Rene Chun, Martin Hewison, Michael Nevitt, Jane A Cauley, Marcia L Stefanick, Eric Orwoll, Carrie M Nielson.
Upcoming Abstract Presentation:
Alzheimer’s Association International Conference, 2015
Patterns of Later-Life Depression Are Differentially Associated with Decline in Cognitive Domains
J Cai Gillis, Shun-Chiao Chang, Elizabeth Devore, Bernard Rosner, Fran Grodstein, Olivia Okereke
Experience
Channing Division of Network Medicine, Boston, Massachusetts
Research Assistant, 2014-Present
o Data analysis using SAS Unix
OHSU Orthopedics and Rehabilitation Department, Portland, Oregon
Data Management and Analysis Internship, 2012-2013
o Data analysis using SAS 9.2 examining four different radiograph views for diagnosis of spondylolisthesis. Analysis included
descriptive statistics, McNemar’s test, Interclass Correlation Coefficient and reproducibility analysis. Drafting of methods
section and creation of study code manual.
Layton Aging and Alzheimer’s Center, Portland, Oregon
Data Management and Analysis Internship, 2012
o Data analysis using SAS 9.2 of longitudinal aging study examining falls in relation to Mild Cognitive Impairment.
Other Experience
Volunteer Coordinator for Dept. of Public Health and Preventive Medicine Graduate Students, 2012
Oregon Health & Science University
Oregon Master of Public Health Student Symposium – Student Abstract Review Committee, 2012
Committee member responsible for reviewing, rating and providing feedback to students submitting research abstracts for inclusion in the
OMPH student symposium
Technical Qualifications
Unix, Windows, Mac, SAS, Stata, PASS, SEER*Stat, Prezi, EndNote, QuickBooks, Excel, Word, Powerpoint, Outlook, Adobe Photoshop,
VMware Fusion