Career Profile
I am a lead meteorological data scientist and engineer with a focus on building award-winning computing environments for creating, processing, and analyzing weather data. Using my deep understanding of numerical weather prediction (NWP) and weather datasets, I continue to innovate by delivering weather-focused insights using cost-effective and low latency solutions. I am a AWS Certified Solutions Architect - Associate with robust knowledge of many services and their application for weather and climate workflows. Please find a PDF copy of my CV here.
Skills and Proficiency
Weather data processing & analysis
Python for the earth sciences
NWP & high performance computing
Cloud computing (AWS)
Scientific technical writing
Project, product, and personnel management
Certifications
Education
Experiences
- Leading, prioritizing, and executing research and operationalizing initiatives to create scalable, cost-effective weather solutions for customers across numerous verticals.
- Researching, developing, and productionizing cloud-based weather modeling platforms that leverage numerical weather and deep learning weather modeling systems.
- Leading, planning, and executing technical roadmaps for new products and initiatives.
- Spearheading and implementing cloud-based weather modeling projects that utilize numerical weather prediction and deep learning weather models to provide curated data and solutions for clients. specific client use cases.
- Technical lead for the award winning AWS cloud HPC solution developed by Maxar.
- Designing and implementing serverless cloud-based workflows for real-time data processing and analysis.
- Architecting and maintaining cloud HPC numerical weather prediction systems and workflows.
- Building cloud-based (AWS) parallelized processing and extraction environments to support client-focused solutions.
- Migrating and refactoring meteorological data processing and delivery applications for use in AWS.
- Supported the National Earth System Prediction Capability (ESPC) through scientific, technological, and strategic guidance.
- Helped identify, synthesize, and promote state-of-the-art research for operational use.
- Wrote patents, including creation of workflow diagrams, that focus on key scientific and data innovations created by the company.
- Spearheaded and managed strategic meteorological research and development initiatives critical to the improvement of the company product line.
- Created and maintained several scientific computational environments, including HPC clusters, within AWS.
- Generated technological plans and cost estimates for business development and product innovation.
- Led a team of meteorologists in the development and implementation of business-related weather solutions.
- Oversaw day-to-day operations of several employees, products, and research-to-operation projects.
- Led several initiatives to enhance and create new weather applications for clients.
- Managed team prioritization of numerous scientific research-to-operation projects.
- Designed innovative approaches for the acquisition, curation, processing, and storage of new meteorological datasets.
- Prepared proposals to secure business through Small Business Innovation Research (SBIR) solicitations.
Publications, Patents, and Presentations
104th Annual American Meteorological Society Conference (2024)
AWS re:Invent (2019)
United States patent 11,644,597 (2023)
United States patent 10,962,681 (2021)
United States patent 10,534,784 (2020)
United States patent application 15/666,959 (2017)
United States patent application 15/690,746 (2017)
Journal of Applied Meteorology and Climatology, 55, 79-92 (2016)
Journal of the Atmospheric Sciences, 72, 2267-2285 (2015)
Journal of the Atmospheric Sciences, 71, 3180-3201 (2014)
Journal of the Atmospheric Sciences, 71, 2763-2781 (2014)
Journal of the Atmospheric Sciences, 70, 3799-3817 (2013)