Rohitash Chandra is an AI scientist and Associate Professor at UNSW with 11 years of experience bridging academic research and applied machine learning. His work spans Bayesian deep learning, ensemble methods, LLMs and uncertainty quantification, applied across domains from social media and religion to climate science, marine reefs and mineral exploration. He has led interdisciplinary projects and labs (Transitional AI Research Group) and held visiting and research roles internationally, including Cornell and NTU, reflecting a strong global research network. Rohitash combines teaching of advanced data science courses with leadership roles in non-profits (Software Foundation Fiji, Pingla Institute) that promote FOSS and tech for social good. Notably, his research programs emphasize robust decision-making under uncertainty, marrying neural methods with Bayesian inference for real-world environmental and geoscience problems. He maintains an active research presence online (rohitash-chandra.github.io) and a track record of translating AI methods into cross-disciplinary impact.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Victoria University of Wellington
Master of Science Artificial Intelligence, Master of Science Artificial Intelligence at University of Fiji
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.