Albert Liang is a seasoned professional in the field of machine learning and computer science, with extensive experience across multiple prestigious organizations. Liang commenced a career as an undergraduate research fellow at the University of Tsukuba, focusing on graph mining, and subsequently took on roles as a software development intern at Adobe and a research intern at Beihang University. Further academic advancement occurred at The Ohio State University, where Liang served as a research and teaching assistant while obtaining a PhD in Computer Science. Career development continued with internships at Google, where Liang worked on deep learning for user modeling and time-series anomaly detection. Currently, Liang is a Staff Machine Learning Engineer at Meta, with previous experience at Google Brain, leading projects in long-term user modeling and self-supervised learning.
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