Experience

NOAA Fisheries

• United States
• Government Administration
• 100 - 200 Employee

• Industry Economist

  • Jul 2023 - Present



Oregon State University

• Higher Education
• 700 & Above Employee

• Marine Resource Economics Fellow

  • Jan 2021 - Jun 2023

  This fellowship was funded by Sea-Grant and the National Marine Fisheries Service. I developed a proposal and budget that was awarded funding for 3-years. The primary deliverable was a recreational bioeconomic model for Pacific halibut to simulate the ecological and welfare (non-market benefit) impact of changes in recreational harvest policies and other ocean management programs, such as the Blue Line Management strategy, using socio-economic and biological data. This working paper will be submitted to a peer-reviewed journal in environmental and resource economics after addressing final comments received from two in-person presentations I gave in July and August of 2022 Show less

• In-Person Instructor

  • Mar 2022 - Jun 2022

  I had the opportunity to teach Environmental Economics and Policy (AEC 352), an in-person undergraduate core course, this past Spring (2022) quarter. The class (~50 students) is a required course for the Environmental Economics and Policy track for undergraduates and was previously developed by other professors. My primary responsibility was to present the material in an engaging manner via presentations and written materials, manage the course schedule to ensure all material was covered at a sufficient level, update lectures and in-class activities with new examples, and grade the student’s assignments and exams. Lectures and in-class activities covered topics such as benefit-cost analysis, environmental justice, theoretical and empirical environmental economic concepts, and climate policy among others. The desired outcome of the course is to teach students scientific methods that they can apply in their various and unique careers. Show less

• Graduate Research Assistant

  • Sep 2019 - Dec 2020

  I assisted in an NOAA-funded project that was interested in the marginal value of Pacific halibut for guided (charter) anglers in Alaska. The marginal value of Pacific halibut for charter anglers is often difficult to measure because of the non-market benefits associated with a charter fishing trip. Economists often use a Random Utility Maxmiziation (RUM) model to elicit individual-specific preferences to estimate non-market benefits from a site-specific resource because it is consistent with utility theory. I used a special case of the RUM model called the mixed multinomial logit model. This model allowed for correlation among Alaskan sites with similar geographic and economic characteristics. We estimated the mixed multinomial logit model using revealed preference data collected via mail surveys. I assumed that site choice was a function of travel costs, historical harvest rates, socio-demographic data, and regional- and site-specific constants. The model was estimated in RStudio using a custom maximum likelihood model. I wrote two technical documents for regional management authorities (NPFMC) describing the data cleaning process and proposed methodology, a final working paper describing the results from our model, and I presented findings at two seminars at Oregon State University. Show less



Federal Energy Regulatory Commission

• Government Administration
• 700 & Above Employee

• Student Trainee (Economics)

  • Jul 2019 - Sep 2019

  I worked on enhancements to an electric surveillance screen of bilateral exchange-based electricity and gas transactions. The previous screen contained a single static visualization that was updated weekly for the analyst to investigate for potential market manipulation. I updated the screen by constructing an interactive dashboard that tracked unconsummated bid & offer data, consummated trade data, financial indices, and other useful measures for all wholesale and electricity and natural gas transactions made on the InterConinental Exchange. The screen was constructed using SAS Visual Analytics (VA). The SAS VA dashboard took data that is pulled from a secured server using SQL and cleaned and reorganized using a customSAS. The internship project required me to develop a deep understanding of the market structures for both bilateral electricity trading in the West and next-day gas trading at hubs throughout the country. I was required to deliver a final presentation to the branch analyst, branch chief, and the division director. In the PowerPoint presentation, I briefly communicated the background of the project, the updates that were made to the screen, and potential updates that could be made in the future. The majority of my presentation consisted of a live demo to the audience to show the updated capabilities of the screen and a step-by-step guide on utilizing the full potential of the updated screen. Show less



Oregon State University

• Higher Education
• 700 & Above Employee

• Graduate Teaching Assistant

  • Mar 2019 - Jul 2019

  I was a teaching assistant for Sustainable Communities (SUS 350) taught in Oregon State University's Sustainability Department. I assisted the professor in grading homework, group projects, and a final exam and guess lectured one class. I was a teaching assistant for Sustainable Communities (SUS 350) taught in Oregon State University's Sustainability Department. I assisted the professor in grading homework, group projects, and a final exam and guess lectured one class.



University of Florida

• United States
• Higher Education
• 700 & Above Employee

• Graduate Research Assistant

  • Aug 2016 - Aug 2018

  I served as a member of the interdisciplinary national Sea-grant funded study titled: “Application of Triploidy to an Emergent Oyster Culture Industry on the West Coast of Florida.” This Sea-grant study applied economic theory to analyze the operational costs of triploid oyster aquaculture in Florida under various environmental and market risk scenarios. I determined the most efficient data collection and research method based on past studies that researched similar species and agricultural methods. These data collection methods included the distribution of logbooks to record labor time, farmer interviews to collect operational cost data and risk data and, the recording of historical environmental probabilities based on governmental databases. I utilized statistical methodology and programming packages such as RStudio and SAS: Analytics, Business Intelligence, and Data Management software to analyze the data for the study objectives and policies of the grant. The outcome of the economic study reported a financial model that predicts the profitability of a typical oyster farm in the region and the statistics of various stochastic variables used in the stochastic model. The findings were written in a manuscript for final peer-reviewed publication and additional recommendations for the future of the industry. I developed the stochastic model into an online Excel tool that farmers could use to predict their own profitability based on unique costs, growing techniques, and beliefs about environmental events. Additionally, an oral presentation was given to interdisciplinary researchers, farmers, and economists to discuss findings and future research goals. Show less

• Graduate Teaching Assistant

  • Jan 2017 - May 2018

  I was a teaching assistant for an agricultural policy class that discussed and analyzed portions of the U.S. Farm Bill, World Trade Organization (WTO) policies, and agricultural trade policies and partnerships. I evaluated the student's performance on exams, agricultural policy briefs, and in-class assignments while reviewing assignments throughout the semester for final grade calculations. Each agricultural policy brief required me to review each student's technical writing skills while evaluating their ability to clearly portray their desired outcomes. Additionally, I aided professors in proctoring multiple exams with an average of 85 students per semester. Show less

• UF IFAS Shellfish Extension Intern

  • May 2016 - Aug 2016

  I assisted our team in the preparation and design of an off-bottom oyster aquaculture long-line and lease setup that replicated industry practices for interdisciplinary studies. This off-bottom oyster aquaculture farm was designed to identify and conceptualize economic issues faced by local farmers and address biological and ecological impacts. After the lease was set up, I conducted maintenance on off-bottom aquaculture gear and other equipment needed for oyster growout to collect operational cost data throughout the oyster nursery, growout, and harvesting stages. I also developed logbook documentation that was distributed to farmers to record labor time.I used this data to conduct a preliminary economic analysis of the regional oyster aquaculture industry using agricultural production theories. I presented the findings to local shellfish farmers and other stakeholders. This experience gave me the opportunity to become familiar with local regulations and policies related to oyster aquaculture, collect operational cost data for future analyses, and develop communication skills with interdisciplinary scientists and stakeholders. Show less