My name is Beatrice V. Mwaipopo, I am a Tanzanian.  I have a bachelor of Agriculture General, a master of Crop Science specializing in Crop Improvement specifically in cowpea crop and a PhD in crop Science specializing on molecular biology of common beans viruses. Professionally I am a pathologist. I have nine years’ working in breeding and pathology under the Ministry of Agriculture and three years at university. Currently I am working at Sokoine University of Agriculture as a lecturer. I have an experience in community-based research, Breeding (Variety selection, germplasm maintenance and breeder seed multiplication), Molecular data analysis (Including MEGA, BioEdit, NCBI, Expasy translate, ClustIW and virus detect tools), plant pest detection using molecular tools such as (PCR, qPCR, Bloatting techniques), other are Competent cells preparation and Transformation, Sanger sequencing and Next generation sequencing techniques. While at the Ministry of Agriculture I worked with different project such as  SIMLESA, Trans-SEC, ASARECA, Common bean PEARL project and CICI-ESA and currently I am working with Plant pests prediction and Emerging Disease detection using Image processing, webGIS and machine learning Techniques (PREDiCT) project funded by SUARIS and Development of an Artificial Intelligence-empowered Crop Disease Surveillance, Prediction, and Management project funded by Tanzania Commission for Science and Technology (COSTECH). Through my career I published five papers on relevant journals. I have been awarded the project titled Characterization of Southern bean mosaic virus (SBMV) in common bean in Tanzania, funded by Sokoine University of Agriculture (SUA) which is a two years grants from 2023-2025. My goal is to fight against plant pest using artificial intelligence and molecular biology tools to increase crops productivity in Tanzania.