I'm a doctoral student at Carnegie Mellon University (CMU) in the department of Biomedical Engineering, advised by Prof. Sossena Wood, where I'm a member of Wood Neuro Research Group. 

Research Focus: My central focus in research is developing dependable and cost-effective AI solutions for medical applications, aiming to provide timely and appropriate patient care. My research approach combines insights from both human and machine intelligence to address issues in the brain and healthcare. So, I explore how cognitive challenges affect commonsense reasoning and decision-making, both in the lives of patients and in the medical field. To this end, I aim to build a foundation of trust for AI technologies within the healthcare sector. 

Research Areas:  Deep Learning, Machine Learning, Commonsense AI, Trustworthy AI, Computational Neuroscience and Neural Engineering.

Before moving to the US, I was a lecturer of Computer Science at Asian University for Women (AUW). I graduated from Asian University for Women (AUW) in May, 2021 with a BS degree in Bioinformatics,  double minors in Computer Science & Mathematics, where I also completed a pre-med track. In my senior year, I studied Neural Engineering at Yale University as a guest student, and studied Neuroscience at Cornell University as a part of an exchange program. During my time at AUW, I conducted research incorporating AI, Computer Vision and Computational Neuroscience together. Besides, I did AI Engineering at Intelligent Machines, a fast-growing AI start-up in Bangladesh. Additionally, I was the first President and mentor at AUW AI Society where I mentored (and I co-advise now) a diverse group of students so that they can start their journey in AI. I also served as a Managing Editor & Web Editor for AUW's campus newspaper The Echo AUW. Read more about me and my research interest here.