Research

Computational Study of Transonic Buffet

September 2021 - present

Employ computational fluid dynamics in Fluent to study transonic buffet for a NACA 0012 airfoil. Analyze the impact of operating conditions and modeling choices on buffet onset and limit cycle oscillations. Process and interpret simulation results using Python and MATLAB to gain insight into physical trends. This research is conducted at Duke Univeristy as part of the Aeroelasticity group.

Interpretable Machine Learning for Causal Inference

May 2020 - present

Apply and contribute to machine learning algorithms in Python and R for causal inference. Created and maintain a website to document the algorithms and their usage and contibuted an interactive online demo. This research is conducted at Duke University as part of the Almost Matching Exactly Lab (AME Lab).

Nanocomposite Fabrication for FDM Printing

July 2017 - November 2017

Studied thermal conductivity in FDM printing and fabricated polymer nanocomposites for improved mechanical strength and thermal properties in 3D printed parts. Conducted research under the direction of Dr. Miriam Rafailovich. This research took place at Stony Brook University as part of the Garcia Center for Polymers at Engineered Interfaces.