Honorable mention recipient Aishwarya Agrawal advances multimodal AI research as an academic and industry scientist.
Aishwarya Agrawal is an Assistant Professor in the Department of Computer Science and Operations Research at the University of Montreal. She is a Canada CIFAR AI Chair and a core academic member of Mila -- Quebec AI Institute, and spends one day a week as a Research Scientist at Google DeepMind. Aishwarya's research focus is on Multimodal AI research, specifically Vision-Language research. Aishwarya is a recipient of the 2025 Mark Everingham Prize, a Canada CIFAR AI Chair Award, a Young Alumni Excellence Award from IIT Gandhinagar, 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.
No takes yet. Share an insight, caveat, or question.
Aishwarya Agrawal (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: