Summary
Michael T is a hydrologist and water resources engineer with eight years of experience combining field-focused engineering and research-grade data science. Currently a PhD student and Graduate Research Assistant at Colorado State University, he applies machine learning—including LSTM networks—to large-sample hydrology and hydrologic modeling. Prior to returning to academia he spent a decade delivering stormwater, BMP/LID, and watershed-scale modeling, GIS and spatial database solutions, and backend data systems for consulting projects. He blends practical design experience (PostGIS, R, SQL, hydraulic/hydrologic models) with research rigor from multiple university and USGS research appointments. Notably, his work bridges real-world stormwater system design and emerging ML methods, making models both operationally relevant and scientifically robust.
8 years of coding experience
18 years of employment as a software developer
Doctor of Philosophy (PhD), Civil & Environmental Engineering, Doctor of Philosophy (PhD), Civil & Environmental Engineering at Colorado State University
University of Minnesota Twin Cities
Spanish