My work at our startup HIDENN-AI and at Northwestern University has centered on applying physics-based AI to engineering. Our focus is on using AI to tackle the next generation of large-scale engineering problems.
During my PhD at Harvard, I engaged in a wide range of research, supported by the university’s highly collaborative environment. Over five years, I contributed to numerous projects, gaining extensive experience in materials science, mechanical engineering, electronics, finite element analysis (FEA) across multiple software platforms, design, fabrication, biomechanics, robotics, and more. I led projects involving artificial muscles, object manipulation, variable-stiffness device testing, fluid pumps, and bio-inspired swimming devices. In my roles, I performed hands-on technical research and managed teams of students and projects, ensuring high-quality, on-time deliverables.
I worked on consulting cases involving testing and analysis for litigation largely relating to system and failures in mechanical designs, such as vehicle fuel tanks, commercial ladders, and truck hitches to name a few.
I researched for two summers in the Lauder Lab performing testing with a custom-built water flow tank. I performed testing to show the hydrodynamic benefits of 3D-printed shark skin foils. I additionally performed Particle Image Velocimetry (PIV) testing to assess the hydrodynamic benefits of fish schooling.
My research, in conjunction with Ford Motor Company, involved assessing and modeling of Carbon Fiber Reinforced Polymer for use in future vehicles, as a strong, lightweight material alternative to steel.
I contributed on a project to evaluate the relationship between bone mineralization, bone porosity, and bone fracture. This related to a project focused on determining the best approach for treating those with osteoporosis.
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