Published multiple academic papers in conferences and journals such as PACLIC, LongVid@ICCV, ACL, TNSE, ICLR, NAACL, EMNLP, ICML, TKDD, NeurIPS, and CIKM.
Research Experience
Served as a research intern at Adobe Research (2021), Microsoft Research (2020), and Amazon (2019, 2018).
Education
Received a Ph.D. in Computer Science from Carnegie Mellon University, advised by Prof. Christos Faloutsos. PhD studies were supported by the Bloomberg Data Science PhD Fellowship and the ILJU Foundation PhD Fellowship.
Background
Research interests include Machine Learning, Graph Learning, Representation Learning, Knowledge Reasoning, Large Language Models, and Efficient Deep Learning. Works as a Research Scientist at Meta AI, developing methods for efficient optimization and representation learning of large language models and graph neural networks.