Hi! I am a first-year PhD student at the Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai. I earned an MPhil from the School of Health and Rehabilitation Sciences, The University of Queensland. My thesis, supervised by Dr. Mohammad Ali Moni and Dr. Md. Abdul Awal, explores whether quantum machine learning can offer a competitive advantage in brain data analysis. Prior to this, I completed my Bachelorโs degree in Electrical and Electronic Engineering at IUT, Bangladesh, under the supervision of Prof. Ashik Ahmed.
Currently, I am rotating in the Glicksberg Lab.
Broadly, I am motivated by the challenge of building intelligent tools that bring together machine learning and biomedical science. My goal is not simply to apply existing AI models to biomedical datasets. I am interested in developing new computational approaches (including foundation models, self-supervised and few-shot learning, deep representation learning, and quantum ML), understanding how and why these methods work (through explainability, interpretability, generalizability, robustness, fairness, and uncertainty), and adapting them to the characteristics of real-world biomedical data (including label and data scarcity, high dimensionality, data heterogeneity, and multimodal integration).
More information can be found in the Research section.
Journals: COMPAG (Elsevier); AI Review (Springer); Neuroscience (Elsevier).