Abdul received his Ph.D. in Chemistry from the University of California, Berkeley in 2022, under the supervision of Prof. Martin Head-Gordon, and subsequently joined Prof. Alán Aspuru-Guzik’s group at the University of Toronto to develop machine learning approaches for quantum chemistry and agentic methods in computational chemistry. In 2026, he joined NVIDIA Research working under Alán Aspuru-Guzik, where he works at the intersection of quantum chemistry and machine learning.
His work focuses on developing scalable methods that bring chemically accurate simulations closer to real time, using GPUs and new ML architectures to make accurate electronic-structure calculations broadly accessible to scientists and engineers. He is also interested in using these accelerated quantum chemistry techniques to help power emerging quantum computing approaches for chemistry.
