Abdul Aldossary  

 



  ![](/sites/default/files/person/Abdul.Aldossary.jpg)

  

 Abdul received his Ph.D. in Chemistry from the **University of California, Berkeley** in 2022, under the supervision of Prof. [**Martin Head-Gordon**](https://en.wikipedia.org/wiki/Martin_Head-Gordon), and subsequently joined Prof. [**Alán Aspuru-Guzik**](https://en.wikipedia.org/wiki/Al%C3%A1n_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**](https://research.nvidia.com/person/alan-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.



   Research Area(s)

[Algorithms and Numerical Methods](/research-area/algorithms)

[Artificial Intelligence and Machine Learning ](/research-area/machine-learning-artificial-intelligence)

[High Performance Computing](/research-area/high-performance-computing)

[Quantum Computing](/research-area/quantum-computing)

 

 

  

 Main Field of Interest

[Artificial Intelligence and Machine Learning ](/research-area/machine-learning-artificial-intelligence)

 

  

 Google Scholar

<https://scholar.google.com/citations?user=XkLnFHMAAAAJ>