I am a Postdoctoral Researcher in the Department of Statistics, University of Wisconsin–Madison, working with Prof. Matthias Katzfuss on a NASA Jet Propulsion Laboratory (JPL) funded project. Previously, I was a Research Fellow at the National Institute of Applied Statistical Research Australia (NIASRA), University of Wollongong, where I worked with Prof. Noel Cressie, Prof. Andrew Zammit Mangion, and Prof. Sumeetpal Singh on the Bayesian implementation of next-generation neural networks, including Fourier Neural Operators. I completed my PhD at King Abdullah University of Science and Technology (KAUST) under the supervision of Prof. Ying Sun.
My research interests encompass the development of advanced statistical methods and machine learning techniques. I am particularly focused on applications in predictive modeling and uncertainty quantification, aiming to couple neural networks with traditional statistical methodologies to obtain efficient data driven solutions to real life problems.
Throughout my academic journey, I have developed a strong foundation in both theoretical and applied aspects of statistics and machine learning, and I am passionate about exploring innovative solutions to complex problems in data science.
Recent News:
New Paper Accepted in Technometrics
Our paper “Spatio-temporal modeling and forecasting with Fourier neural operators” (with Andrew Zammit-Mangion, Sumeetpal Singh, and Noel Cressie) has been accepted for publication in Technometrics. The paper uses Fourier neural operators (FNOs) to build statistical dynamical spatio-temporal (DST) models for forecasting, without requiring explicit knowledge of the underlying PDE.
Read the paper | Preprint (PDF)
Al-Kindi Student Award Recognition
I am honored to have received the prestigious Al-Kindi Student Award at KAUST as a Ph.D. student. This annual award, named after the renowned scholar Al-Kindi, celebrates exceptional academic achievements and research impact within the Statistics Program.
Being recognized by this award is a testament to my dedication to advancing statistical research and its applications. The Al-Kindi Award draws inspiration from Al-Kindi’s pioneering contributions, which are foundational to the fields of statistics and cryptography.
I am deeply grateful for the support of my mentors and the vibrant research environment at KAUST, which have been instrumental in this achievement.
To learn more about the Al-Kindi Student Awards, visit the official KAUST page.
Check out my UOW scholar profile
My UOW scholar profile is now available. You can check it out below.
