Hi! I'm David Grethlein and I recently graduated from the Computer Science PhD program at Drexel University. Concurrently, I worked as a Data Scientist at Diagnostic Driving, Inc. (DDI) in West Philadelphia. My job largely revolved around analyzing and visualizing driving simulator time series data with the goal of improving driver on-road safety using Simulator pre-screening.
After DDI, I did a brief internship at Crowdstrike, Inc. as a data engineer and then worked in a research consultant capacity for researchers at the Center for Injury Research and Prevention (CIRP) at the Children's Hospital of Philadelphia (CHOP). I am excited for my next opportunity to apply the latest and greatest in time series analysis to whatever challenges come next!
I graduated (cum laude) with a Bachelor's of Science in Mathematics and 2 minors in Mandarin Chinese and Computer Science from Drexel University in 2017. At the same, I graduated with honors from the Pennoni Honors College, also at Drexel University.
After which point, I stuck around Drexel to complete a Master's degree (in 2020) and PhD (in 2026) in computer Science; where Santiago Ontañón was my research advisor for the PhD. We co-authored several works, with some published and others still currently in submission (Google Scholar Profile).
Much of my PhD thesis work centered around using driving simulator time series data as inputs for solving multivariate time series classification (MTSC) problems; isolating and leveraging spatial concentrations of discriminative time series features recorded in the driving simulator data along a planned simulated route.
My thesis demonstrated that using simple MTSC models that computed the time series distance (TSD) between driving simulator time series samples like 1-Nearest Neighbors (1-NN) and DTW Barycentric Averaging (DBA) for making class label predictions, when combined with Iterative Section Reduction (ISR) could lead to more reliable MTSC models for predicting which license applicants would go on to fail the on-road exam (ORE).
My PhD thesis is published through Drexel University and is readable here:
https://doi.org/10.17918/00011507
These days, my research is centered around TSD functions, time series forecasting, reinforcement learning, and ensemble learning (Github Profile); all applied to time series data.