About Me

My research lies at the intersection of theoretical and computational mechanics, connecting microscale physical processes to macroscopic material behavior to predict deformation and failure under extreme conditions using novel approaches. As a Postdoctoral Fellow in the Department of Mechanical and Aerospace Engineering at the University of Houston, I develop analytical models using statistical mechanics for a range of problems, including quantum materials.

During my Ph.D. in Aerospace Engineering at Texas A&M University, I developed HUNNY, a unified constitutive framework for porous material plasticity that predicts crack initiation and propagation by representing void growth and coalescence from first principles, validated through three-dimensional simulations across a range of specimens and loading conditions. I then spent two years as a Postdoctoral Researcher at Texas A&M, developing a high-fidelity machine learning-based damage model, training a recurrent neural network on high-fidelity HUNNY simulation data to serve as a fast surrogate constitutive model for large-scale finite element simulations. Prior to my doctoral studies, I worked as an Engineer at VEM Technologies, an Aerospace and Defense company, where I learned the full product life cycle from design to delivery.

Aside from research, I am a certified private pilot and enjoy playing volleyball and cricket!

Academic Training

Research Interests