Umang Bhatt is a PhD candidate in the Machine Learning Group at the University of Cambridge, where he is advised by Adrian Weller. His research interests lie in trustworthy machine learning and human-machine teaming. Specifically, he focuses on algorithmic transparency and its effects on stakeholder decision-making. He is currently a Summer Fellow at the Center for Research on Computation and Society at Harvard University. He is also an Enrichment Student at the Alan Turing Institute, Advisor to the Responsible AI Institute, and recent winner of a J.P. Morgan AI PhD Fellowship. His PhD research is funded by the Leverhulme Center for the Future of Intelligence via generous donations from DeepMind and Leverhulme Trust. Previously, he was a Fellow at the Mozilla Foundation and a Research Fellow at the Partnership on AI. Umang received his MS and BS in Electrical and Computer Engineering from Carnegie Mellon University.