I am an assistant professor at the Computer Science department of the University of Illinois at Chicago
and the director of Innovative Data Exploration Laboratory (InDeX Lab).
My research spans to different aspects of Big Data Exploration and Data Science, including data management, information retrieval, and data mining, for which I aim to find efficient, accurate, and scalable algorithmic solutions.
Responsible Data Science and Algorithmic Fairness is my current focus in research. Besides, my research intersects with topics such as ranking and top-k query processing, compact data representatives, machine learning, web databases, knowledge graphs, and signal reconstruction at scale.
I mainly publish in SIGMOD, VLDB, and ICDE. My research have received awards and recognitions, including Google Research Scholar award, the Communications of the ACM's Reserach Highlight, “Best of VLDB” -- the special issue of VLDBJ, SIGMOD 2019 Research Highlight Award, and SIGMOD 2017 Reproducibility Award.
I shared my thoughts about "Enabling Responsible Data Science in Practice" in a blog post in the ACM SIGMOD Blog.