Career Profile

I am a 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 management

Certifications

AWS Certified Solutions Architect - Associate

2019 - 2025
Amazon Web Services

Education

Ph.D. in Atmospheric and Oceanic Science

2009 - 2014
University of Maryland

Thesis: On The Genesis and Predictability of Hurricane Julia (2010)

Fellowships:

  • 2012 NASA Earth and Space Science Fellowship (NESSF) Recipient
  • 2012 Eugene Rasmusson Fellowship Award Recipient

M.S. in Atmospheric and Oceanic Science

2009 - 2012
University of Maryland

B.S. in Meteorology (Minor in Mathematics)

2005 - 2009
Millersville University of Pennsylvania

Experiences

Principal Meteorological Data Scientist/Engineer

Dec 2024 - Present
Vaisala

In December 2024, Vaisala acquired Maxar Intelligence’s WeatherDesk group, including my role as a Principal Meteorological Data Scientist/Engineer.

Principal Meteorological Data Scientist/Engineer

Nov 2022 - Dec 2024
Maxar Intelligence (formerly Maxar)
  • Spearheading and executing cloud-based weather modeling initiatives including the use of numerical weather models as well as deep learning weather model training and inferencing.
  • Prioritizing, leading, and planning strategic scientific research and development to unlock weather data for specific client use cases.
  • Technical lead for the award winning AWS cloud HPC solution developed by Maxar.

Senior Meteorological Data Scientist/Engineer

Jul 2020 - Nov 2022
Maxar
  • Leading, planning, and executing technical road maps for new products and initiatives.
  • Designing and implementing serverless cloud-based workflows for real-time data processing and analysis.

Meteorological Data Scientist/Engineer

Jul 2018 - Nov 2020
Maxar
  • Building cloud-based (AWS) parallelized processing and extraction environments to support client-focused solutions.
  • Designing and maintaining cloud high performance computing numerical weather prediction systems and workflows.
  • Migrating and refactoring meteorological data processing and delivery applications for use in AWS.

Scientist III

Mar 2018 - Jul 2018
Cherokee Nation Businesses (NOAA Contractor)
  • 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.

Vice President for Earth Sciences

May 2016 - Mar 2018
Weather Analytics
  • 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.

Vice President for Scientific Solutions

Feb 2016 - May 2016
Weather Analytics
  • 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

  • An Elastic Multiarchitecture Cloud-based High Performance Computing Environment for the Global Forecast System
  • S. F. Cecelski
    104th Annual American Meteorological Society Conference (2024)
  • Automated processing and combination of weather data sources for weather severity and risk scoring
  • E. D. Cousins and S. F. Cecelski
    United States patent 11,644,597 (2023)
  • Automated Severity-Based Risk Scoring for Ice Storms and Freezing Rain
  • E. D. Cousins and S. F. Cecelski
    United States patent 10,962,681 (2021)
  • Formulation and Delivery of Dynamic, Severity-Based Weather Peril Scoring
  • E. D. Cousins and S. F. Cecelski
    United States patent 10,534,784 (2020)
  • Corrective Ensemble Forecasting System for Tropical Cyclones
  • S. F. Cecelski, L. A. Munchak, and S. T. Daigneault
    United States patent application 15/666,959 (2017)
  • Radar Artifact Reduction System for the Detection of Hydrometeors
  • J. Jones, L. A. Munchak, and S. F. Cecelski,
    United States patent application 15/690,746 (2017)
  • Genesis of Hurricane Julia (2010) within an African Easterly Wave: Sensitivity to ice microphysics
  • S. F. Cecelski and D.-L. Zhang
    Journal of Applied Meteorology and Climatology, 55, 79-92 (2016)
  • Genesis of Tropical Storm Debby (2006) within an African Easterly wave: Roles of the bottom-up and midlevel pouch processes
  • L. Zhu, D.-L. Zhang, and S. F. Cecelski
    Journal of the Atmospheric Sciences, 72, 2267-2285 (2015)
  • Genesis of Hurricane Julia (2010) within an African Easterly Wave: Sensitivity Analyses of WRF-LETKF Ensemble Forecasts
  • S. F. Cecelski and D.-L. Zhang
    Journal of the Atmospheric Sciences, 71, 3180-3201 (2014)
  • Genesis of Hurricane Julia (2010) within an African Easterly Wave: Developing and Non-Developing Members from WRF-LETKF Ensemble Forecasts
  • S. F. Cecelski, D.-L. Zhang, and T. Myoshi
    Journal of the Atmospheric Sciences, 71, 2763-2781 (2014)
  • Genesis of Hurricane Julia (2010) within an African Easterly Wave: Low-Level Vortices and Upper-Level Warming
  • S. F. Cecelski and D.-L. Zhang
    Journal of the Atmospheric Sciences, 70, 3799-3817 (2013)