About me

Email: mohammadsamsul.alam@duke.edu

I am a biostatistician specializing in high-dimensional longitudinal data analysis, multi-omics integration, and medical imaging. I hold a Ph.D. in Statistics from North Carolina State University and currently work as a Postdoctoral Associate in the Department of Biostatistics & Bioinformatics at Duke University.

My research develops modern statistical and machine learning methods to address real-world biomedical challenges, with a focus on functional data analysis, supervised tensor decomposition, and joint modeling. I apply these tools to diverse areas, including cancer detection from histology images, dynamic prediction of dementia risk, gut microbiome studies, and single-cell RNA sequencing data.

I am proficient in R, Python, SAS, MATLAB, STATA, and SPSS, and experienced with a broad range of statistical techniques, including Bayesian modeling, spatial statistics, survival analysis, and multivariate methods. I am committed to creating reproducible, interpretable statistical methods that advance biomedical science and support precision medicine.

With over seven years of university-level teaching experience, I have also served as a research mentor, data science consultant, and quantitative methods collaborator in multi-disciplinary teams. My professional goal is to continue working in a research-driven environment, developing statistical innovations that can be directly applied to emerging biomedical and public health problems.

Outside of research, I enjoy spending time with my family, listening to music, watching movies, and connecting with friends and colleagues.