A now four-year machine learning study, where I focus on uncovering and improving the ineffectiveness of Public Safety Facial Recognition algorithms on POCs, eventually creating safer worldwide uses of facial recognition.

I've spent the last year analyzing faulty trends and errors in current algorithms and the devices used (cameras, sensors). Then, using current ethical standards, my goal is to be able to write a convincing piece for publishing by the end of the season that will help us develop a better algorithm.

A graph theory-based study, where I explore coloring graphs with cut colorings. Knowing that such cut coloring exhibits radial symmetry around one around one l arge block, I spent time working to uncover what exactly is driving this symmetry and if there is always a central block.