Detail-oriented. Innovative. Analytical. Curious.
View ResumeHi there! Thanks for stopping by. I am an Atmospheric Scientist specializing in short-term atmospheric predictability, artificial intelligence, and earth science/atmospheric data visualization. Oh, and coffee.
Outside of work, you can find me in a chess game, savoring a good cup of coffee, or exploring new places. But it's the moments shared with my wife and our golden retriever, Teddy, that I cherish the most.
Currently
Senior Risk Data Scientist Technosylva
Remote present
I'm a meteorologist who uses my data science and meteorology background to develop ML/AI models that better inform all-hazard risk modeling.
At UNC Asheville, I led a research project deploying multiple Artificial Neural Networks (ANNs) in the WxChallenge collegiate weather forecasting competition. The ANNs significantly outperformed conventional operational guidance, surpassing more than 80% of competitors. Our findings were published in the Journal of Weather and Forecasting.
I'm passionate about equipping meteorologists with effective data visualization tools. Meteorologists making critical, life-saving decisions deserve top-tier data presentation. I continuously explore best practices and re-evaluate how we utilize data across varied applications in the field.
In July 2018 in northwestern Georgia, I unexpectedly filmed an EF-0 tornado developing from just 1.5 miles away. It was the first tornado I witnessed in person, and despite the proximity, I experienced an unparalleled calm amidst the storm's chaos — a defining moment in my career.
Captivated by meteorology since age 11, my passion for atmospheric predictability drove me to pursue an M.S. in Applied Meteorology. I bring meticulous attention to detail to every forecast, ensuring no nuance or subtlety is overlooked.
Open to research collaboration, forecasting projects, and new opportunities in atmospheric science.