I developed a general framework for randomized quantum algorithms at the MIT-IBM Watson AI Lab, under Dr. Patrick Rall and Dr. Pawel Wocjan.

PhD student in theoretical physics. I'm advised by Prof. Isaac Chuang and focus on quantum information.

Investigated the intersection of tensor networks and machine learning with Dr. Guifre Vidal.

I was the teaching assistant for PHYS402: Quantum Physics II (Fall 2019), PHYS373: Mathematical Methods for Physics II (Spring 2019), and PHYS274: Mathematical Methods for Physics I (Fall 2018). I administered exams, managed the course web page, graded assignments, and tutored students.

Worked on quantum information and condensed matter research under Dr. Brian Swingle.

As an administrator, I maintained functionality of the UMD High Energy Physics Computing Cluster, which is used for computational physics and data analysis.

I worked in particle physics phenomenology and analyzed a variant of the Randall-Sundrum model under Dr. Shabnam Jabeen.

I worked with Dr. John Preskill’s group to study resource states for measurement-based quantum computation.

I studied balanced homodyne detection for quantum states of light with Rana Adhikari’s group.