About Me
My data work began in the field of neuroanatomy studying how androgens alter glial cell arborization. This led to a fellowship finding patterns in large sets of MRI data from children with Autism. I then began building and leading teams of analysts, scientists, and researchers for businesses interested in developing highly effective data capabilities. During this time I’ve found logical, quantitative, and scientific thinking universally valuable and have helped consumer-electronics, digital advertising, and software firms turn their data into impactful insights and products.
Experience
GoGuardian Software
Senior Director of Data and AI
July 2022 to present
Director of Science and Analytics
August 2019 to present
Head of Data Science
April 2018 to August 2019
Centerfield Media
Vice President of Data Science
February 2017 to February 2018
Big Ass Solutions
Head of Data Science and Analytics
May 2015 to Nov 2016
Data Scientist
Jan 2015 to May 2015
The MIND Institute at the UC Davis Medical Center
Ruth L. Kirschstein Research Fellow
Aug 2011 to Dec 2014
Education
Ph.D. Neuroscience
Michigan State University
Breedlove-Jordan Laboratory
M.A. Psychology
The College of William and Mary
Burk Laboratory
B.S. Experimental Psychology
University of Tennessee
Cum Laude
Skills & Additional Information
Data visualization
Data warehousing
Data modeling
Statistical analysis
Machine learning
Data privacy and ethics
Data infrastructure
Team building
Public speaking
Artificial Intelligence
Testimonials
Contact
Honors, Awards, and Funding
Certification in College Teaching - Psychology
NIH Ruth L. Kirschstein National Research Service Award (F32)
The M.I.N.D. Institute Autism Research Training Fellowship
NIH Ruth L. Kirschstein National Research Service Award (F31)
MSU Neuroscience Program Research Excellence Award
MSU Neuroscience Program Research Enhancement Fellowship
Invited Presentation - NIH graduate research symposium
The College of William and Mary - Minor Research Grant
Autism Phenome Project
The goal of the Autism Phenome Project is to characterize heterogeneity within Autism spectrum disorder. In 2011 I was tasked with using a large imaging and behavioral dataset to begin identifying potential subgroups within autism. White matter abnormalities were identified with several distinct group profiles along with sex-differences in the neuroanatomy of typically developing children. The work is continued by Drs. Christine Wu-Nordahl and David Amaral.