I am a Schmidt AI in Science Fellow at the Dunlap Institute for Astronomy & Astrophysics at the University of Toronto. I received my Ph.D. in physics in 2021 from the University of Pittsburgh.

My research lies at the intersection of observational cosmology, theoretical physics, and artificial intelligence. I study the Cosmic Microwave Background (CMB)—the oldest light in the Universe—to understand how our cosmos began and evolved. By developing new analysis techniques, I aim to extract every bit of information hidden in this ancient light to answer fundamental questions about physics and the Universe.

What keeps me up at night:

• Building intelligent next-generation telescopes: How can we use AI to process the petabyte-scale data from next-generation experiments like the Simons Observatory?

• Testing fundamental symmetries: Does the Universe have a preferred direction? I search for signs of symmetry violations on cosmological scales in the CMB that would reveal new physics beyond our current understanding.

• Hunting for dark matter: What is the nature of dark matter and dark energy? I’m particularly interested in axions or axion-like particles—hypothetical particles that could potentially solve this cosmic mystery.

• Capturing the dynamic millimeter sky: The Universe isn’t static. I develop algorithms to detect fleeting events—from bursts of exotic stars to the subtle signatures of gravitational waves—in a part of the sky that has been largely unexplored for transient phenomena.

• AI for cosmology: How can machine learning not just process data faster, but help us ask better questions and make discoveries we didn’t know to look for?