Hi, this is Fahad, I am glad you have made it to my page. Now a days, I am working as a Graduate Part-Time Instructor\RA and Ph.D. candidate in Statistics at TEXAS TECH. I obtained my B.S. in Mathematics and M.S. in Applied Mathematics from Dhaka University. After moving to the US as a graduate student at Texas Tech, I completed an M.S. in Statistics from TEXAS TECH in 2022.  

My research interest evolves in many areas within Machine Learning/AI model development and implementation, Biomedical Data Science, and Applied/Biostatistics.

My interest in statistics includes machine learning (ML), data science and statistical uncertainty quantification (UQ). My recent work focuses on the detection and interpretation of the patterns of usually high-dimensional biomedical data with complex structures, particularly when applied to cancer infrared tomography, cancer genomics, chemical structure, EHR data, population and epidemiology data, and medical images. In my interdisciplinary research, I combine statistical machine learning and biomedical data science to advance human disease diagnosis and monitoring, with a particular focus on high-dimensional data-driven model developments in cancer research. Moreover, my current work encompasses various aspects of statistical modeling, UQ, and ML techniques to improve the accuracy, efficiency and reliability of disease prediction, diagnosis, treatment monitoring, and drug design.