Dileep Kishore is a postdoctoral research associate and bioinformatics expert with 11 years of experience combining microbial ecology, computational modeling, and machine learning. Trained at IIT Madras and Boston University (PhD, 4.0 GPA), he has led analyses of 16S and metagenomic datasets to infer microbial association networks and developed a Python package for stochastic simulations. His work spans docking microbial metabolites to human receptors and building mathematical and deep reinforcement learning controllers to steer microbial communities in bioreactors. An open-source enthusiast, he bridges wet-lab insight with AI and algorithms to translate complex biology into actionable computational tools.
10 years of coding experience
Indian Institute of Technology Madras
school, school at Sri Vidya Mandir
Doctor of Philosophy - PhD, Bioinformatics, 4.00/4.00, Doctor of Philosophy - PhD, Bioinformatics, 4.00/4.00 at Boston University
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