Rintu Kutum is a PhD student (2014-2020) at CSIR-Institute of Genomics & Integrative Biology, New Delhi India. His research work is in the area of Computational Biology, where he uses machine learning algorithms and high-throughput genomics datasets of healthy individuals stratified using the deep-phenotyping approach of Ayurveda to gain insights into inter-individual variability in a population. He has bachelor’s and master’s in Biotechnology from Bangalore University and KIIT University respectively. He uses various open-source software stacks such as R, Python, Julia, Processing, GitHub and Bitbucket etc., to accelerate his scientific research. This has led him to contribute to diverse collaborative projects. He also takes part in various international machine learning challenges in biomedicine and genomics (DREAM, precisionFDA). He is also an ISCB student member since 2017.

He is an open-source software enthusiast, who uses and promotes it. He has been an eLife Ambassador from 2018; he mainly worked on “Reproducibility research through open-source scientific computing”. During this tenure, he has organized 3 workshops with the help of various institutions and has been actively working towards enhancing computer science literacy amongst life science scholars in India. From 2016-2019, he has trained 22 (undergraduates and masters) students from various institutions namely IIT Madras, KIIT University, VIT University, BITS (Pilani, Goa and Hyderabad), NIPER Kolkata, Gautam Buddha University, JAYPEE Information Technology Solan and AMITY University.

Additional Information: Email ID: [email protected]; [email protected] GitHub repository: https://github.com/rintukutum Twitter: https://twitter.com/rintukutum Google scholar: https://scholar.google.co.in/citations?user=obeyQMUAAAAJ&hl=en