Akm Azad received the Ph.D. degree in computational systems biology and biostatistics from Monash University, Australia, in 2017. He did his first Postdoctoral Fellowship with the Faculty of IT, Monash University. He was a Postdoctoral Research Associate with the AI Laboratory, School of BABS, UNSW Sydney, contributing/ leading multiple bioinformatics, and computational biology projects. Recently, he has joined the University of Technology Sydney, as a Research Fellow for developing cutting-edge methodologies and tools for online inference of phylogenetic trees from COVID-19 sequences. His research interests include AI/ML/DL, Bayesian statistics, MCMC, Bayesian networks, bioinformatics, and computational biology.