At the Laboratory of Applied Bioscience, my work focuses on utilizing Caenorhabditis elegans (C. elegans) as a model organism to assess the effects of plant-derived extracts and synthetic compounds. With its genetic simplicity, well-characterized biology, and relevance to higher organisms, C. elegans offers a powerful system for studying therapeutic potential and understanding mechanisms linked to health and disease. 
This research aims to identify and characterize bioactive compounds that may contribute to novel pharmacological applications. By bridging experimental biology with modern analytical approaches, our work strengthens model organism research in Bangladesh and contributes to global scientific efforts in drug discovery and human health. 

At the Laboratory of Food Science and Nutraceutical, Department of Biochemistry and Molecular Biology, University of Chittagong, our work focuses on analyzing the nutritional composition and antioxidant properties of various plant samples, including seaweeds and dates. We assess proximate composition (carbohydrates, proteins, lipids, ash, moisture), elements (C, H, N, S, P), and minerals (K, Ca, Mg, Fe) to determine their nutritional value. 
We also study bioactive compounds (phenolics, flavonoids, chlorophyll, carotenoids) and measure antioxidant activities through total antioxidant capacity, reducing power, and FRAP assays. This research supports the development of functional foods and nutraceuticals from locally available plant resources in Bangladesh.

At BioPC - A Bioinformatics Lab of Research and Training, our research utilizes computational and systems biology approaches to accelerate drug discovery, optimize vaccine design, and perform comprehensive pan-cancer analysis. By integrating multi-omics data, we aim to uncover novel therapeutic targets and biomarkers for complex diseases. In drug discovery, we focus on predicting compound efficacy and safety, while in vaccine design, we employ immunoinformatics to identify effective antigen candidates. Our pan-cancer analysis reveals shared molecular signatures across cancers, deepening our understanding of tumor heterogeneity and guiding precision medicine strategies. Through innovative computational tools and biomedical research, we strive to advance disease prevention, diagnosis, and treatment.