About Me

I’m a Machine Learning Research Fellow at Mayo Clinic developing multimodal foundation models for digital pathology, combining vision transformers, clinical language models, and graph-based learning for scalable, clinically grounded AI systems. I completed my PhD at Arizona State University, where I worked on statistical machine learning, probabilistic graphical models, and computationally efficient learning algorithms for large-scale structured data. I was supervised by Professor Dr. Gautam Dasarathy.

Before joining Arizona State University, I obtained my MSc in Electrical Engineering from Utah State University (USU) in 2019, where I was supervised by Professor Dr. Rose Qingyang Hu. I also actively worked with Professor Dr. Le Thanh Tan, who was then a post doc at USU. During my time at USU, my research was focused towards developing algorithms at the intersection of deep learning and statistical signal processing. I completed my undergraduate from Islamic University of Technology in 2014.

My resume and academic CV can be found here and here, respectively.

In my spare time, I enjoy reading allegorical and thriller novels, and two of my most favorite novelists are Dan Brown and Paula Hawkins. I also enjoy playing tennis (albeit not very well) and deeply admire Novak Djokovic for his champion mindset. I’ve watched his Wimbledon 2019 final and 2024 Olympic final an unhealthy number of times.