Computational Biology and Bioinformatics Lab
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Our research projects involve AI, Machine Learning, system design, data analysis, and/or hybrid approaches for computational biology and bioinformatics. The projects are distributed among three main domains:
We acquire and analyze datasets of genome/metagenome/metatranscriptome samples to model and solve problems/questions via ML and bioinformatics algorithms.
It is the field of study that incorporates ideas from natural language processing (NLP) and bioinformatics.
The main goal is to identify environmental and genetic markers of health/disease. Here, we focus on environmental, personal, and lifestyle markers or factors for, but not limited to, obesity, diabetes, heart diseases, and depression research and how we can improve and support healthcare systems and providers.