Theoretical High Energy Physics ◆ Machine Learning & Neural Networks

Introduction

I'm a PhD candidate in the Theoretical High Energy Physics group at Northeastern University,
and a graduate member of the NSF IAIFI.
I am fortunate to be advised by Prof. Jim Halverson.

I have a keen interest in Fundamental Physics, such as Theoretical Particle Physics and String Theory, that aims at understanding
the origin of our universe and space-time, as well as a passion to understand and enhance the science behind Artificial
Intelligence in every possible way -- via Physics, Mathematics and Neuroscience. As part of my dissertation, I have worked on
establishing a concrete foundational connection between Quantum Field Theory, the backbone of Theoretical Particle Physics, and
Neural Networks, the structural base of Deep Learning. This correspondence is a first of its kind, and through this, I have been
able to enrich the science of Neural Networks / Machine Learning using the mathematics of theoretical Particle Physics.
Conversely, my current research focuses on enriching the science of Quantum Field Theory via a better understanding of Neural
Networks. I have also efficiently implemented traditional Physics and Mathematics techniques to study problems in theoretical
Particle Physics and String Phenomenology. Sometimes, in conjunction to traditional Physics and Mathematics, I employ Deep
Learning methods to study problems in Fundamental Physics. The use of Deep Learning opens avenues to uncharted territories
inaccessible by traditional science means. Thus, weaving together the science of two seemingly orthogonal research directions
-- Fundamental Physics and Deep Learning / Neural Networks, I have been able to contribute to both worlds, while establishing
a bridge between the two.

I received my Bachelors and Masters in Engineering Physics at IIT Bombay.

Curriculum Vitae

Outreach

Apart from a keen interest in Fundamental Physics and Artificial Intelligence, I am passionate about promoting equity for underrepresented minorities in STEM.
To that end, I joined the Early Career and Equity Committee at IAIFI,
and Graduate Students Council of Northeastern University College of Science.

Additionally, I started monthly meetings and networking activities for Graduate Women in Physics at Northeastern University.
I'm driven by the need of better education opportunities for women, starting from grass-roots to graduate level, especially in poorer economies.

Dana Research Center, Room 237, 100 Forsyth St, Boston, MA 02115

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i = 0;
while (!deck.isInOrder()) {
print 'Iteration ' + i;
deck.shuffle();
i++;
}
print 'It took ' + i + ' iterations to sort the deck.';