About

Narasimha Murthy Keshav Prasad Gubbi is a skilled Bioinformatician and Data Scientist with a passion for solving biological questions using tools from Informatics and AI. With nearly three years of experience in Bio-image analysis and Bioinformatics, Narasimha has a strong track record of success in his field. He completed his Master of Science (M.Sc) with a focus on Particle Physics from the University of Bonn. Currently, Narasimha works as a Bioinformatician at uniklinik rwth aachen, where he strives to apply tools from AI, especially Machine Learning, Deep Learning, and building models, to niche biological problems like Single Cell RNA sequencing and allied problems in computational genomics. He has a relevant experience of 4.11 years in this field. In his previous roles, Narasimha worked as a Data Scientist/Computational Neurobiologist at max planck institute for biological intelligence (in foundation) and as a Research Assistant in Computer Vision and Deep Learning at caesar (center of advanced European studies and research). At max planck institute, he was responsible for developing scientific analysis workflows and computational pipelines of multi-modal datasets for registration and integration into the zebra fish atlas. At caesar, he developed a neural network (CNN) model for instance segmentation (classification and localization) of rabies neurons from the brain scans of rodents to determine the structural component of information flow in the sensory-motor circuit. Narasimha has a strong educational background, having completed his Master of Science (M.Sc) in Theoretical and Mathematical Physics from the University of Bonn, Bachelor of Science (BSc) in Physics, Computer Science, and Mathematics from the University of Mysore, and a Diploma in Computer Science from Adhiyamaan College of Engineering. Narasimha has a diverse tech stack, including AI, Research Scientist, Data Scientist, Deep Learning, ML, Computer Vision, Scikit, Integration, OpenCV, Python, Senior Software Engineer, test, Keras, CNN, scikit-image, Image Processing, Tensorflow, Neural Networks, Search, and Pytorch. He is a skilled professional with a passion for applying his knowledge to solve complex biological problems.