I am a Quantitative Analyst at Fidelity Investments working in the Fixed Income domain. My interests lie at the intersection of Applied Mathematics and Computational Science, focusing on Machine Learning and numerical modeling. On the side, I also engage 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 Master 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 Master 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."