My research centers on developing robust, reliable, and scalable AI systems that address real-world challenges. I focus on creating solutions that not only advance the theoretical foundations of machine learning but also translate into practical applications with measurable impact.

I have been fortunate to collaborate with exceptional researchers and scientists from leading institutions including Microsoft Research, Google DeepMind, Amazon Science, and various national laboratories. Their expertise and guidance have been instrumental in shaping this work, and I am deeply grateful for these partnerships.

Much of this research has found its way into production systems and solutions deployed at scale, demonstrating the practical value of advancing both theoretical understanding and applied methodology in building trustworthy AI systems.