About Thee Anomaly, LLC
Thee Anomaly, LLC. founded by research meteorologist Dr. Jamese Sims, is a consulting firm with scientific expertise in weather, climate change, and environmental justice.Our company provides community engagement and consultation services in order to develop insights, recommendations, and plans to support the needs of our clients.Dr. Sims has nearly 18 years of federal government experience and brings forth a unique perspective in translating community needs into scientific advancements and guiding policies.
Our services include consulting in the following areas:
- Climate Change and Environmental Justice
- Science PolicyAdvanced Technology for Atmospheric Sciences
- Curriculum Development
- Community Consultation and Engagement
- Numerical Weather Prediction
- Workforce Development
- Inclusion and Belonging
About Dr. Sims
Dr. Sims is the former Director of the National Weather Service (NWS) Office of Science and Technology Integration (OSTI) Modeling Program.The OSTI Modeling Program Team is responsible for supporting a vast array of NWS numerical weather prediction/modeling and research initiatives to improve weather forecasts. Dr. Sims administered a $24M budget, funding programs to accelerate and advance the development of new models, and foster collaboration among NOAA research scientists, federal labs, operational forecasters and the academic community. Examples of fundedprogram areas include efforts to improve guidance for hurricane track, intensity, and storm surge forecasts; development of an end-to-end air quality forecast capability; advancing research to extend forecast skill beyond 8-10 days; and implementing a weather-scale, fully-coupled numerical weather prediction system.
Dr. Sims also servedas the NOAA Senior Science Advisor for Artificial Intelligence (AI). In this role, Dr. Sims provided guidance to strategically establish the agency’s portfolio to support AI research, development and applications. This guidance has accelerated innovation,leading to transformative improvements to the suite of numerical weather prediction models and forecaster products and services that save lives and property before, during, and after severe weather events. In 2020, Dr. Sims established and chaired (2020-2022) the NOAA Science and Technology Synergy Committee to coordinate strategic planning of NOAA’s emerging science and technology focus areas including: Artificial Intelligence, ‘Omics (Genomics), Uncrewed (Autonomous) Systems, Cloud Computing, Data, and Citizen Science. This committee has charted the way forward, allowing NOAA to achieve dramatic improvements in performance and efficiency across each agency mission area.
From 2019-2021, Dr. Sims served as Co-chair of the NOAA Diversity and Professional Advancement Working Group (DPAWG), a NOAA-wide employee resource group (ERG) focused on the recruitment, retention and advancement of underrepresented groups within the NOAA workforce.
Dr. Sims is an associate editor for the Artificial Intelligence for the Earth System (AIES) Journalof the American Meteorological Society (AMS), and a member of the AMS Committee on Satellite Meteorology, Oceanography and Climatology. As an expert in the fields of atmospheric sciences, artificial intelligence, satellite meteorology, algorithm engineering, and peer mentoring, Dr. Sims has delivered technical briefings to executives, partners, and various audiences at national and international conferences. Her work is often featured in scientific journals, webinars, and podcasts produced by the Federal News Network, Google, NASA-TV, NPR, and additional live recordings, tapings and articles.
Dr. Sims received her B.S. in Meteorology from Jackson State University, and Ph.D. in Atmospheric Sciences from Howard University.Dr. Sims enjoys spending time with her son and she is a competitive bodybuilding athlete.
- LEADERSHIP
- PROGRAM MANAGEMENT
- ATMOSPHERIC MODELING
- Artificial Intelligence
- Numerical Weather Prediction
- Remote Sensing
- Satellite Meteorology
- Algorithm Engineering
- Strategic Planning
- Satellite Data Product Management
- Research to Operations
- Scientific Communication
- Diversity and Inclusion
- Budget Formulation and Execution
- Systems Engineering
- Secret Clearance