My Story

My journey has been guided by an endless curiosity about how things work — from the physics that governs flight to the algorithms that make sense of complexity. It began with rocket propulsion and aircraft design, where engineering precision met creative problem-solving. Building and testing aerodynamic systems taught me how innovation thrives when theory meets experimentation.

​

That same drive led me into the world of data and scientific computing, where I turned my attention from the motion of air to the ripples of spacetime. At the University of Michigan and LIGO, I worked on gravitational-wave detection and signal-processing algorithms, learning how to extract meaning from the faintest traces of the universe. These experiences shaped not only my technical foundation but also my approach to research — disciplined, data-driven, and endlessly curious.

​

Now, my work extends into the next frontier: applying artificial intelligence, computational optimization, and quantitative finance to real-world challenges. From developing adaptive algorithms to automating decision-making systems and building models that learn from data to guide investment and strategy, I aim to bring the same scientific rigor and creativity that guided my earlier research into practical applications that impact both science and industry.

For me, life is a bucket list — a commitment to leave no skill unlearned, nothing untried, and no domain unexplored. Each project, whether in physics, engineering, AI, or finance, brings me closer to fulfilling every dream and curiosity while keeping pace with how and where the world progresses. It is a pursuit of understanding, innovation, and the constant drive to turn knowledge into meaningful change.