Portfolio
Portfolio
At Fifth Gait Technologies, I apply data science and physics to improve how we understand and predict space weather--how our space environment impacts everything from satellites to power systems on Earth. My work blends analytical modeling with creative problem-solving to make complex systems more predictable.
Highlights from my work include:
Developing machine learning models for real-time space weather nowcasting and forecasting.
Co-inventing an equation describing solar activity, significantly increasing model accuracy and supporting next-generation forecasting tools.
Performing data mining, noise reduction, and clear visualization to reveal key insights from large, complex datasets.
Applying advanced modeling software to simulate and predict solar-terrestrial interactions.
Translating complex technical findings into clear, actionable insights for stakeholders, conference audiences, and cross-functionable team members.
"Space weather involves the complex interaction of particles and electromagnetic phenomena within our solar system. At Fifth Gait, we use our SIRE2 software to model and analyze how space weather impacts your systems. Whether it’s solar flares, geomagnetic storms, or radiation from deep space, we provide valuable insights to help you understand and prepare for these celestial phenomena. Our modeling expertise enables you to strengthen your systems, ensuring they remain resilient in the face of space-related challenges."
"The Space Ionizing Radiation Environment and Effects (SIRE2) toolkit was designed to provide state-ofthe-art environment models for satellites and arbitrary trajectories in space. SIRE2 also has single event effects modeling capabilities that utilize the SIRE2 environments."
Robinson, et al. “The SIRE2 Family of Tools". In: 2025 Space Weather Workshop Poster Abstract Booklet. Mar. 2025.
"SIRE2-AC will provide enhanced forecasts of the energetic particle conditions encounter by spacecraft in the inner Solar System."
Robinson, et al. “Smart-Shea 2022 Geomagnetic Cutoff Model”, in 45th COSPAR Scientific Assembly, Jul. 2024, vol. 45, p. 722.
"SIRE2 Advance Climatology (SIRE2-AC) provides the space radiation community with a tool that can calculate the environment at a spacecraft that is on a trajectory in the inner Solar System."
Robinson, et al. “Space Ionizing Radiation Environment and Effects Advanced Climatology (SIRE2-AC) toolkit”. In: AGU Fall Meeting Abstracts. Dec. 2023, SH21D-2912.
"SIRE2-AC will provide enhanced forecasts of the energetic particle conditions encounter by spacecraft in the inner Solar System."
Robinson, et al. “Space Ionizing Radiation Environment and Effects Advanced Climatology (SIRE2-AC) toolkit”. In: AGU Fall Meeting Abstracts. Dec. 2023, SH21D-2912.
"SIRE2-Real will provide benchmarking of space environments to historical measurements and spacecraft anomalies. The SIRE2-Real capabilities will allow the user to select a historical time range for SIRE2-Real to determine the peak flux, flux-time series, and mission-integrated fluence for the solar energetic particle (SEP) environment."
Robinson, et al. “Space Ionizing Radiation Environment and Effects Advanced Climatology (SIRE2-AC) toolkit”. In: AGU Fall Meeting Abstracts. Dec. 2023, SH21D-2912.
"SIRE2-AC expands the radiation transport capabilities in SIRE2 to allow for complex shielding
configurations to be specified for a calculation inside of SIRE2 to enable human dose calculations. "
Robinson, et al. “Space Ionizing Radiation Environment and Effects Advance Climatology (SIRE2-AC) Toolkit". In: ASEC2023 Book of Abstracts. Oct. 2023.
At Dynetics, I worked at the intersection of physics, engineering, and innovation as my team and I developed models and tools for understanding and visualizing the atmosphere. My role combined technical research with team leadership, initiative, and creative problem-solving to deliver measurable improvements in performance and accuracy.
Highlights from my work include:
Developed advanced atmospheric models incorporating shockwave thermodynamics to improve system performance and predictive capabilities.
Led a cross-functional team of seven, coordinating efforts across engineering, research, and software development to meet project goals on time and within scope.
Redesigned an image correction program, improving noise reduction by 10x compared to previous versions, significantly enhancing IR sensor data quality.
At Clemson University, I studied Sporadic E clouds with Professor Kaeppler. The goal was to develop a detection algorithm to process large datasets of electron density. Then, I could analyze overall trends, such as when and where the clouds most often occur. Sporadic E research matters because the dense ionization can interfere with radio communications.
"Sporadic E clouds are rare, highly ionized layers of the Earths atmosphere that form spontaneously and can detect radio signals. This paper discusses the importance of studying Sporadic E layers, presents computational methods of detecting these clouds, analyzes high-latitude atmospheric data from the Scientic Research Institute (SRI), and models Sporadic E motion. Though not conclusive, the results from this project indicates that Sporadic D clouds travel in an overall descending pattern during night hours."
High-Latitude Sporadic E Clouds: Computational Methods of Detecting Highly Ionized Layers of the Earths Atmosphere To Improve Radio Signal Efficiency. Author: Haley M Horton. Research Supervisor: Dr. Stephen Kaeppler. May 2020.