Akhil Arora is a Prof. of Computer Science at Aarhus University, where he leads the CLAN for AI Research on Language and Networks (or “CLAN” for short). He is a fellow of the Copenhagen Center for Social Data Science, an affiliate of ELLIS Unit Copenhagen, the Pioneer Centre for AI, and a formal collaborator of the Wikimedia Foundation. Akhil's research lies broadly in human-centered and trustworthy AI, including state-of-the-art work on structured and multi-agent reasoning and systems for reliable and cost-efficient LLM inference. Akhil received his PhD in Computer Science from EPFL in Switzerland. In days of yore, he spent close to five years in the industry working with the research labs of Xerox and American Express as a Research Scientist. His work has been published in top-tier AI venues, including ICML, ACL, EMNLP, NAACL, and WWW, has been recognized with accolades such as the 8th most influential paper of SIGMOD 2017 by Paper Digest, and received the 2018 ACM SIGMOD Most Reproducible Paper Award. He is an alumnus of the coveted Heidelberg Laureate Forum and a DAAD AINet fellow on human-centered AI. Akhil is a director of the P1-programs on Green AI and AI & Society.
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