Akhil Arora

Expertise Machine LearningNLPData ScienceSocial and Information NetworksCausal Inference Current work My research aims to model user behavior in real-world Web-scale systems: drawing insights about how users browse the Web, seek knowledge, influence others, and get influenced by others to name a few. Specifically, my focus is towards devising machine learning and data mining methods for real-world Web-scale data that manifests itself in the form of graphs or text. Akhil Arora is a PhD student advised by Prof. Robert West of the Data Science Lab (dlab) at EPFL and an external research collaborator of the Wikimedia Foundation. Prior to this, Akhil spent close to five years in the industry working with the research labs of Xerox and American Express as a Research Scientist. He is a recipient of the prestigious «EDIC Doctoral Fellowship» for the academic year 2018-19 and the Most Reproducible Paper Award at the ACM SIGMOD Conference, 2018. Additional details are available on his website. Education PhD | 2018 – 2018 EPFL MTech | 2011 – 2013 IIT Kanpur Awards Heidelberg Laureate Forum Participant Among 100 computer science researchers worldwide invited to participate in the prestigious 8th Heidelberg Laureate Forum. 2021 Teaching Assistant Award Given to top 10% of the TAs in IC, EPFL. 2021 ACM SIGMOD Most Reproducible Paper Award An ACM SIGMOD award recognizing accepted papers that provide fully reproducible artifacts. 2018