PNNL

Niaz Bahar Chowdhury is a data scientist at the Environmental Molecular Science Laboratory (EMSL), a DOE Office of Science facility housed on the Pacific Northwest National Laboratory campus.

Before joining EMSL, Chowdhury did his PhD at University of Nebraska-Lincoln under the supervision of Dr. Rajib Saha. Chowdhury’s expertise spans transcriptomics, proteomics, and metabolomics integration with GSMs, with applications in the predictive modeling of metabolic phenotypes. His work has advanced the understanding of metabolic networks in diverse biological systems, including bacteria (Chlamydia trachomatis, Neisseria gonorrhoeae, Staphylococcus aureus), archaea (Methanosarcina acetivorans), and plants (Zea mays, Oryza sativa). Leveraging computational tools such as constraint-based modeling and machine learning, Chowdhury aims to bridge genotype–phenotype relationships to drive systems biology research forward.

Google Scholar Profile

• Genome-scale metabolic modeling
• Multi-omics data integration with genome-scale metabolic modeling
• Machine learning applications in systems biology
• Metabolic engineering and synthetic biology
• Predictive modeling of microbial and plant metabolism

• PhD in chemical engineering, University of Nebraska-Lincoln
• MASc in chemical engineering, Queen’s University
• BSc in chemical engineering, Bangladesh University of Engineering and Technology

American Institute of Chemical Engineers

• University of Nebraska-Lincoln (UNL) Distinguished Doctoral Dissertation Award, 2025
• UNL College of Engineering Teaching Fellowship, 2024
• Center for the Integration of Research, Teaching, and Learning Associate Degree in STEM Education, 2024
• Professional Development Fellowship, 2023
• School of Graduate Studies Travel Fellowship, 2023
• Milton Mohr Fellowship for Excellence in Biotechnology Research, 2023
• 2nd Prize Winner, UNL College of Engineering Graduate Symposium, 2022
• 1st Prize Winner, UNL College of Engineering Graduate Symposium, 2021