Dr. Shiwali Mohan is a senior member of research staff at Xerox PARC. She studies the design and analysis of collaborative human-AI systems. Her research brings together methods from artificial intelligence (AI) and machine learning (ML) with insights from human-centered sciences to design systems that can collaborate with humans effectively. Her research has had an inter-disciplinary impact and has been published at venues for research on AI, human cognition, cognitive systems, human-computer interaction (HCI), medical informatics, AI for social good, and robotics.

Dr. Mohan has served as a principal investigator for grants from DARPA and AFOSR and as a key personnel on grants from ARPA-E, DOE, and other government agencies. Currently, she is leading Xerox research on collaborative human-AI systems. Her recent work on intelligent coaching systems for health behavior change is one of the first demonstrations of long-term, interactive, intelligent behavior that was evaluated with human trainees in ecological settings. During her doctoral research, she led the development of Rosie - a complex agent with end-to-end behavior including natural language processing, flexible dialog, computer vision, action control, and interactive learning. This research paved the way for a new challenge problem for integrated AI systems research - Interactive Task Learning. With John Laird, she won the Blue Sky Award at AAAI 2018 for proposing a novel framework that integrates statistical learning with cognitive reasoning for complex intelligent behavior. She is actively involved in the AI community. She served as the chair for AAAI Doctoral Consortium at AAAI 2020 & 2021 and co-chaired the annual meeting of the Advances in Cognitive Systems (ACS) community in 2020.

Dr. Mohan received her B.E. in Instrumentation and Control Engineering from Netaji Subhas Institute of Technology, Delhi University. She received her M.S. and Ph.D. degrees in computer science from the University of Michigan, Ann Arbor with a focus on artificial intelligence.