Howdy,
My research history was focused on computational materials science in the High-entropy Alloy and MAX phase alloy space at Texas A&M University. To conduct this work effectively, I understood the importance of establishing efficiently workflows and data-management tools. This has led to my current research interest of designing and establishing infrastructure for automated scientific workflows. Then using these workflows better leverage Bayesian statistics and ai-driven models for decision-making applications.
My current work is focused on enhancing the automated and batch processing capabilities of data produced from the RaDAR Lab. The RaDAR Lab is a pioneer pilot program for addressing the opioid epidemic through rapid mass spectra forensics analysis. Recognizing that the there is a growing rise in street-drug related mortality [1], the classification and processing of each particular item is far out pacing traditional forensics labs. By using DART-MS rather that GC-MS, measurements of samples are shortened drastically to minutes rather than hours. By partnering with third-party organizations, such as hospitals and law enforcement, samples are sent in, analyzed, and reported faster than in-house forensics. By developing shareable softwares, frameworks, and infrastructures, our goal is to make deployable labs that interconnect with their respective datasets for the purposes of datamining discovery.