I study collective intelligence in complex living networks through a bio-physics approach. My research includes several active projects, such as: spherical infrared tracking of small objects, 3D spatiotemporal reconstructions of firefly swarms, excitable network analysis of multi-agent systems, and PCA of spatial flash modes in endangered firefly species.
My thesis centers on two main topics:
1) What role does synchronization play in complex living networks? This includes understanding how network structures and localalized agent interactions contribute to emergent properties, particularly in systems that exhibit excitable properties and coordinated behavior.
2) How do spatiotemporal dynamics contribute to information transfer? I investigate how movement patterns paired with binary-like messages could encode additional layers of information, enhancing the efficiency and versitility of communication methods.
Sandia National Laboratories
R&D S&E Cybersecurity
At Sandia National Laboratories, I developed innovative AI and ML solutions for complex cybersecurity emulation challenges.
I held the role of R&D S&E - Cybersecurity as a member of the technical staff, where I had the privilege of collaborating with incredibly talented scientists and engineers. My projects included designing a novel AI planning agent for dynamic graph traversal problems, creating scalable big data analytics solutions for over 6 petabytes of network traffic data, and advancing threat detection methodologies. My AI planning contributions in project ATHENA won the prestigious R&D 100 Award in 2022. This work also led to multiple patents, which are currently filed with Sandia National Laboratories and under review.