I am currently a Quantitative Analyst at Fidelity Investments working in the Fixed Income domain. My interests lie at the intersection of Applied Mathematics and Computational Science with a focus on Machine Learning and numerical modeling. On the side, I am also engaged in real estate investments with a portfolio of properties across different locations.

Academically, I completed a Ph.D. in Applied Mathematics at the Harvard John A. Paulson School for Engineering and Applied Sciences and the Harvard Institute for Applied Computational Science and received a Masters of Science (S.M.) in Computational Science and Engineering. As an NSF-GRFP fellow, I worked in Prof. Katia Bertoldi's group on modeling bio-inspired optimized materials and applying generative parametric machine learning algorithms to control soft robotic actuators and classify objects based on embedded sensor data. In 2015, I earned a thesis-based Masters of Engineering (M.Eng.) in Engineering Sciences at Harvard University and worked with Prof. James R. Rice on modeling the physics of subglacial hydrology. In 2013, I graduated with a B.S. in Mechanical Engineering from Case Western Reserve University with a thesis titled "Design and Implementation of Wind Turbine Torque Measurement Device."