Biography

I am a researcher investigating how complex behaviors arise in large-scale systems in nature. My research explores emergence in high-energy particle physics, studying a remarkable phenomenon known as QCD confinement in which intricate many-body interactions between quarks and gluons give rise to nearly all the mass in the visible universe. I develop novel approaches to analyze data from the Large Hadron Collider, including employing machine learning and quantum computing, to capture clues about how these complex dynamics arise.

I am increasingly interested in an equally profound occurence of emergence: the rapid increase in performance of machine learning models such as GPT-4 with scale. I am eager to investigate how the interplay between scale, architectural design, and fine tuning strategies can lead to intelligent behaviors. I am actively seeking collaborations with experts in machine learning research to develop techniques that allow for a more comprehensive understanding of these models’ internal representations of high-level information.