• Led and developed data-driven modeling projects to analyze the impacts of water management for the development of state water permits.
• Co-led and managed a $1.5M research grant-funded interinstitutional research team, developing cutting-edge biological data science algorithms.

• Led and developed 3 research projects focused on ecological data science for the management of endangered marine species.
• Funded AI tool research for resilience analysis of natural ecosystems through successfully obtaining more than $100,000 in research grants.

• Collaborated with stakeholders to develop spatial models for kelp forest management and enhance blue carbon recovery strategies.
• Aided in raising $5M in research grants to support the development of kelp forest restoration strategies in northern California.
• Led a team of junior researchers in the research and development of effective natural resource management models.

• Implemented mentoring and leadership strategies to guide analysts in their development of data science skills, leading to the successful completion of three projects across various departments.
• Consulted on automation of reporting systems, resulting in significant time savings of approximately 120 hours per week.
• Led a project that enhanced forecasting systems, resulting in annual savings of around $1M USD.

• Optimized biological control methods in agriculture through the development of theory-based models.
• Developed spatial data-based models and optimization techniques to solve problems in public infrastructure and agriculture.

I managed and contributed in the development of a simple frontend in Julia to use AI tools to learn nonlinear dynamics from time series.

AI tool to increase spatial resolution of oceanographic data. Prototype developed at Ocean Hackathon 2021 that earned third place.

Simple forecasting tool developed to setting daily funding to stores in a specific market, including an easy-to-use front end for analysts with no statistical experience.

Application of Approximate Bayesian Computation (ABC) to estimate parameters of a complex dynamical model using observational data.

University of California Davis

PhD and MSc in Applied Mathematics - September 2018 - December 2022