Researcher at Comilla University
My research interests lie at the intersection of **Machine Learning, Artificial Intelligence (AI), Biostatistics, and Cybersecurity**, with a particular focus on addressing real-world challenges in healthcare and medical research. As a student of Statistics, I am interested in applying statistical theory, data analysis, and computational methods to develop reliable, interpretable, and data-driven solutions to complex medical problems. Specifically, I aim to explore how machine learning and AI can be integrated with biostatistical methods to improve disease prediction, early diagnosis, clinical decision-making, and personalized healthcare. At the same time, I am interested in investigating security and privacy challenges associated with medical data, including patient data protection, privacy-preserving machine learning, and the secure use of sensitive health information. Ultimately, my goal is to develop statistical and AI-driven approaches that not only improve the accuracy and reliability of healthcare predictions but also ensure the privacy, security, and ethical use of medical data.