Research seminar "Machine-learning approaches for the prioritization of drought-responsive genes in rice using Omics data". Speaker: Kumanan N Govaichelvan.
16/09/2026
Wednesday 23 September, at 11,30h. Activity co-organized by EEABB/DEAB as part of the cultural hour. Free access. Language: English
Kumanan N Govaichelvan is a doctoral candidate currently awaiting his PhD defense (Viva). Bridging a BSc in Biotechnology and an MSc in Data Science, his research applies machine learning to prioritize drought-response genes in rice plants, aiming to develop bioinformatic tools for sustainable crop development. Beyond computational biology, Kumanan also brings research experience in natural language processing and discourse analysis.
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