Data is everywhere. We generate new data with every social media post, digital transaction, and video of kittens. Our phones collect data on where we go and how fast we got there. This deluge of data has given rise to a new industry that is devoted to understanding the bits of information that may explain who we are and what we want. While this type of data is mostly used to sell you more “stuff”; for scientists studying behavior, there is a tremendous capability to use this information for social good.
My name is Nicholas Jackson, and I’m a statistician.
My research interests are in the intersection of statistics, behavior, and public health. I hold a Master’s of Pubic Health in Biostatistics and a Master’s of Arts in Quantitative Psychology and am doctoral candidate in Quantitative Psychology at the University of Southern California. I’ve also recently worked as a Biostatistican at the University of Pennsylvania and as a Senior Statistician at the University of California, Los Angeles in the Department of Medicine Statistics Core.
While my opening paragraph alludes to “Big Data”, I primarily deal with “small data” from various behavioral and medical research studies. However I have an interest in the principal set of methods used to analyze big data (i.e. Statistical/Machine Learning) and how exploratory techniques reconcile with confirmatory hypothesis testing. Substantively, I explore these interests through research on socio-behavioral determinants of substance use as well as the consequences of early substance involvement.
As a statistician, I have a heavy interest in statistical computing, particularly with the software package Stata. Under the “Statistics Resources” link you can find a listing of Stata programs, useful links, and short statistical tutorial papers.