I joined CSU’s Atmospheric Science Department as a Research Associate in 2020. I had previously worked as an Associate Scientist and Data Manager at the National Center for Atmospheric Research (NCAR) from 1999 to 2019.
I have a strong background in Earth Science, Applied Statistics, and Computer Science. I have extensive experience applying statistical and mathematical algorithms to data and developing advanced analytical tools and visual outputs for data interpretation; specifically identifying patterns, trends, anomalies, and outliers. I am passionate about Data Science and am interested in learning how to incorporate machine learning techniques into workflows and automating tools for rapid analysis, prediction and processing. I earned a B.S. Degree in Earth Science from the University of Northern Colorado (UNC), and went on to do graduate work in Applied Statistics and Research Methods at UNC. I'm currently enrolled in a graduate degree program in Artificial Intelligence and Machine Learning at CSU Global. In my spare time I am busy raising three amazing children. I enjoy hiking, boating, landscaping and most activities that allow me to be outdoors.
COLORADO STATE UNIVERITY
My duties include supporting the logistical planning and execution of small-scale and large-scale field campaigns aimed at collecting high resolution data from tropical storms and high impact weather events. I also manage and maintain CSU’s Vaisala Sounding System, used to collect high-resolution vertical profiles of pressure, temperature, relative humidity, wind speed and wind direction in the atmosphere using balloon-borne instrumentation. The maintenance involves ensuring the components of the system are all working properly, prior to deployment, and that software updates are performed on a regular basis. Management of the system involves performing training for students and researchers prior to a field campaign, performing education and outreach for academic groups and for the general public, and ensuring the equipment is packaged and shipped when needed to collect data for research purposes. I also am involved with supporting the ongoing research of a large group of graduate and PhD students in the Bell Research Group. https://tropical.colostate.edu/
Environmental Data Manager
As Data Manager of the Environmental Data Management Department, I was responsible for the development, support and implementation of Northern Waters data management strategy and data infrastructure. I leveraged people, processes, and technologies to automate data collection and storage methods. I worked with a variety of cross-functional teams throughout the organization, to develop the infrastructure of a new centralized SQL database. I provided statistical expertise to colleagues and project collaborators, developed strategies for implementing streamlined work flows, data flows, and processing procedures, and was responsible for planning, initiating, directing, coordinating, and controlling the statistical analysis and interpretation of meteorological data collected from Northern Water’s Agricultural Weather Station Network.
Associate Scientist/Data Manager
NATIONAL CENTER FOR ATMOSPHERIC RESEARCH
EARTH OBSERVING LABORATORY (EOL)
I was the Data Manager for the In-situ Sensing Facility (ISF) in the Earth Observing Laboratory at NCAR. I oversaw data management for three research groups, within ISF, to provide research quality data to the scientific community. I developed comprehensive data management plans for large disparate datasets collected from complex integrated atmospheric sensing systems. I provided guidance on defining standard data formats and developing consistent meta-data standards. I worked to improve overall data quality, usability and accessibility by ensuring best practices in data management were followed. I was a project lead on the Data Publication and Stewardship (DPS) Project and the ISF Data Stewardship Project which were initiated in 2016. These projects were an effort aimed at substantially increasing the amount of publicly accessible data collected from field projects funded by the National Science Foundation between 1998 and 2017. I was also the data quality specialist, within the Facility, and implemented analysis of numerous atmospheric
MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE
Colorado State University - Global Campus
APPLIED STATISTICS AND RESEARCH METHODS
University of Northern Colorado
B.S. Earth Science
Minor Environmental Studies
University of Northern Colorado
Agile Project Management
Proficient programming in R and have experience with SQL, Python, NCAR Command Language (NCL), awk, IDL and bash and c-shell scripting. I also currently in the process of learning Python and plan to use Python to explore machine learning techniques
Extensive experience determining methods for data collection and storage, statistical data analysis, quality control, and archival and documentation of large heterogeneous data sets in a variety of formats
Experience in identifying complex problems and data quality issues, and efficiently designing and executing analytic solutions