Resume

Work with clients to develop custom algorithmic solutions for scientific applications. I provide expertise in simulation and modeling, algorithm development, high-performance computing, technical reporting, and project management.

Develop novel mathematical and AI algorithms on a variety of contracts, including as part of the agile Autonomy Capabilities Team (ACT3) within the Air Force Research Laboratory. I actively research new methods, validate model performance, analyze data, and communicate results with technical and non-technical stakeholders. I hold a security clearance for this role. Some projects I would like to highlight include:

• Development of graphical analysis techniques for validation of agent-based simulation. Preprint at arXiv.
• Design, development, and validation of a resource consumption prediction model for use during infectious disease outbreaks. Incorporates agent-based modeling and compartmental models. Code at github.com/act3-ace/SICO.
• Lead algorithm developer for direction-finding using an array of low-cost RF antennas. Capabilities demonstrated with multiple air/ground tests.
• Multiagent task assignment using graph neural networks (GNNs) and reinforcement learning (RL).

Worked with a team of researchers to develop mathematical theory for applications in sensing and radar as part of the Autonomy Technology Research Center intern program. Results had applications to covariance matrix estimation (for sensing clutter removal) and antenna gain visualization. Received awards for best graduate poster (2017) and student presentation (2018).

Evaluated performance of a biologically-inspired AI software and provided recommendation for use in NASA sensor data problems.

Analyzed mathematically the problem of RF source localization using measurements known as frequency-difference of arrival (FDOA). This problem has complicated geometry, which I was able to analyze and incorporate into algorithms developed in my dissertation and follow-on work.