Hi, welcome to my site.

I am a Ph.D. Candidate in Civil and Environmental Engineering at Cornell University, working in the Reed Research Group and supported by an NSF Graduate Research Fellowship. My research focuses on understanding and managing risks to water resource systems under deeply uncertain hydroclimatic and socioeconomic conditions, with the Delaware River Basin as my primary case study.

Research

Broadly, I use computational methods to support decision making for water resource systems under conditions of deep uncertainty. My work combines water management simulation, stochastic and statistical hydrology, Bayesian methods, and multi-objective optimization. Recent focus areas include:

• Probabilistic streamflow reconstruction and prediction in ungauged basins
• Stochastic (synthetic) streamflow generation for stress-testing water systems
• Open-source water management modeling of the Delaware River Basin
• Exploratory modeling and scenario discovery for drought risk assessment

My first-author paper, Integrated river basin assessment framework combining probabilistic streamflow reconstruction, Bayesian bias correction, and drought storyline analysis (Environmental Modelling & Software, 2026), develops a framework for stress-testing the modern Delaware River Basin’s operating policies against a reconstruction of the 1960s drought of record. See my publications for more.

Software & Projects

I support open-access science and try to release the tools I build. A few highlights (see the full list on my Projects page):

• SynHydro — A Python library for stochastic streamflow generation. It provides parametric, hybrid, and non-parametric generators (Thomas-Fiering, Matalas, ARFIMA, Kirsch, phase randomization, KNN bootstrap, hidden Markov models, and more) under a unified scikit-learn-style fit()/generate() API, along with disaggregation, validation, drought analysis, and plotting tools. GitHub
• Pywr-DRB — An open-source water management model for water availability and drought risk assessment in the Delaware River Basin, which I co-develop. Documentation
• DRB Streamflow Reconstruction Ensemble — A 1,000-member probabilistic reconstruction of daily streamflows at 33 locations across the Delaware River Basin, 1945–2023.
• AquaticAlgorithms — Materials for an introductory course/internship on water resource systems analysis for high school students.

I am also a frequent contributor to the WaterProgramming blog, where I post tutorials on hydrologic data, modeling, and Python; copies of my posts are collected under Blog Posts.

Personal Background

I was raised in New Mexico, and attended NM public schools until 2021 (Rio Rancho High & UNM).

I have a B.S. in Civil Engineering with a concentration in water resources from the University of New Mexico. Before Cornell I was fortunate to work in a variety of hydrologic contexts, including the UNM Center for Water & Environment, the Great Dismal Swamp via an NSF-funded REU at Virginia Tech, and the Bureau of Reclamation’s Brackish Groundwater National Desalination Research Facility.

In my free time, I go trail running and cycling when the Ithaca weather allows. Otherwise, I enjoy reading Sci-Fi and making generative art.