About me

I serve as an Assistant Teaching Professor of Data Science and Analytics and an AI Faculty Fellow at the University of Missouri. My work is situated at the intersection of Geospatial AI (GeoAI), environmental modeling, and public health. By integrating Large Language Models (LLMs) with remote sensing data, I develop computational frameworks to analyze environmental shifts—such as wildfire dynamics and water resource variability—and their resulting impacts on societal health and resilience.

Academic & Research Foundation
I hold dual PhDs from the University of Calgary in Geomatics Engineering and Mathematics and Statistics. My doctoral research, supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) and Alberta Innovates, focused on numerical methods for environmental applications, including flood risk assessment and land surface temperature reconstruction. Before joining the University of Missouri, I served as a Postdoctoral Researcher at the Schulich School of Engineering, where I led interdisciplinary projects applying deep learning and big data analytics to climate change and hydrological modeling.

Leadership & Institutional Service
As an AI Faculty Fellow within the Mizzou Graduate School, I serve as a strategic liaison for AI-related initiatives, contributing to university-wide policy development and leading faculty training on the ethical integration of Generative AI. My commitment to professional leadership includes technical program management for IGARSS 2026, where I oversee the technical review process for themes including Risk and Disaster Management, Humanitarian AI, and Agriculture. Additionally, I serve as a Guest Editor for specialized issues in high-impact journals such as Fire, Remote Sensing, and Applied Sciences.

Industry & Technical Expertise
My academic work is deeply informed by professional experience as a Data Scientist and Developer at Earth & Space Inc. and StellarAlgo Corp. This background allows me to bridge the gap between theoretical computational models and scalable, production-level data pipelines. I am a proponent of evidence-based decision-making and actively guide research at the University of Missouri that leverages AI to foster environmental sustainability and improved public health outcomes.

Outside of my professional roles, I enjoy hiking and spending time with family and friends. These activities provide a grounded perspective that continually informs my work as an educator, researcher, and mentor.