Aishwarya Agrawal is an Assistant Professor in the Department of Computer Science and Operations Research at University of Montreal. She is a Canada CIFAR AI Chair and a core academic member of Mila -- Quebec AI Institute. She also spends one day a week at Google DeepMind as a Research Scientist. From Aug 2019 - Dec 2020, Aishwarya was a full time Research Scientist at DeepMind. Aishwarya completed her PhD in Aug 2019 from Georgia Tech, working with Dhruv Batra and Devi Parikh. Aishwarya's research focus is on multimodal AI research, specifically vision-language research, spanning various themes such as image-to-text and text-to-image generative models, visio-linguistic representation learning, compositional and fine-grained reasoning, parameter and data efficient learning, robust automatic evaluation, geo-diverse cultural understanding, and reliable, explainable and safe multimodal AI. Aishwarya is a recipient of a Canada CIFAR AI Chair Award, a Young Alumni Excellence Award from IIT Gandhinagar (her alma mater), a Georgia Tech Sigma Xi Best Ph.D. Thesis Award, a Georgia Tech College of Computing Dissertation Award, a Google Fellowship (declined), a Facebook Fellowship (declined) and an NVIDIA Graduate Fellowship. Aishwarya was one of the two runner-ups of the 2019 AAAI / ACM SIGAI Dissertation Award. Aishwarya was also selected for the Rising Stars in EECS 2018. Webpage: https://www.iro.umontreal.ca/~agrawal/