Devendra obtained his Bachelor in Information Science from the Sir M. Visvesvaraya Institute of Technology in Bengaluru, India with a gold medal and a certificate of academic excellence. After 3 years of working as a Software Developer in Hewlett-Packard, he started his Master of Science in Computer Science in 2013 at Indiana University Bloomington in the United States. He subsequently did his PhD studies at University of Texas at Dallas completing the doctorate in 2020 before moving to Technical University of Darmstadt in Germany as a postdoctoral researcher. In 2022 he became a junior research group leader at Hessian Center for Artificial Intelligence (hessian.AI). After spending 3 years in Germany, in 2023 he became an Assistant Professor in the Uncertainty in Artificial Intelligence group at TU/e.

Devendra’s research interests are multi-faceted and are currently centered on making machine learning models move beyond correlations towards causality and in the process develop novel methods and interconnect subfields to create systems that can not only learn, but also successfully incorporate reasoning with deep learning systems. His work has established intricate connections between causality and several research areas in machine learning such as large language models, explainable AI, probabilistic models, adversarial attacks and geometric deep learning. He is also interested in the intersection of causality and neuro-symbolic AI where the causal models inform neuro-symbolic models and vice versa in order to learn better systems.