ML/AI and Network Systems Biology in Biological Systems
Are you interested in machine learning, bioinformatics, or understanding how cells respond to stress? Join our research lab this semester to work at the frontier of AI-driven biological discovery!
We are recruiting motivated undergraduate students to participate in a hands-on computational research project focused on how E. coli rewires its biological networks during oxidative stress.
Project Overview: Cells respond to stress by reorganizing their gene expression programs and protein interactions. This project will combine transcriptomics, network biology, and machine learning to understand how co-expression networks, protein–protein interactions, and gene regulatory networks change when E. coli faces oxidative stress. You will analyze real biological datasets and build computational models to identify key genes, regulators, and pathways involved in the stress response.
The Computational Systems Biology Lab (CSBLab) works on the intersection of biology and computation, with a focus on systems responses of diseases in plants and animal model systems. We utilize state-of-the-art systems biology and AI/ML frameworks to study transcriptomics changes at different scales (Bulk RNA-Seq, single-cell RNA-Seq, and spatial transcriptomics) and multi-omics profiles to delineate the factors underlying cellular functions.
We are looking for enthusiastic students with interest to learn the necessary biological data science skills which will prepare them for upcoming research or educational challenges. Students will gain hands-on experience in processing and interpreting complex genomic datasets. The research experience emphasizes in the development of essential bioinformatics skills and the use of cutting-edge software tools to explore biological data. Throughout the research, students will apply their knowledge to real-world datasets, culminating in module-based projects that showcase their analytical and presentation skills. This research experience aims to equip students with the necessary tools and knowledge to tackle contemporary research questions in genomics, fostering critical thinking and data interpretation skills.
Note: If student want to continue their research beyond one semester in the CSBLab, they can do so.
Applied and Computational Mathematics and StatisticsBiological SciencesChemical and Biomolecular EngineeringChemistry and BiochemistryComputer Science & EngineeringMathematicsNeurosciencePreprofessional Studies
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