Published papers at top theory, AI, and database conferences such as FOCS, SODA, SOSA, ICALP, ESA, IJCAI, PODS, and SIGMOD. Recent achievements include: October 2025, paper on 3-coloring circle graphs accepted to SOSA with best paper award; August 2025, paper on relational clustering with outliers accepted to PODS; July 2025, paper on stack and queue layouts accepted to ESA; May 2025, gave a talk at Socal DB Day, USC on their SIGMOD work; February 2025, paper on computing hypertree decompositions in practice accepted at SIGMOD 2025.
Research Experience
Currently a Chancellor’s Postdoctoral Fellow at UC Santa Cruz, working with Seshadhri Comandur. In 2026, she will continue as a Toni Massini Postdoctoral Fellow at Yale University, working with Quanquan C. Liu. She has also pursued multiple research and systems & engineering internships in the industry.
Education
PhD: University of California Santa Barbara (UCSB), advised by Prof. Daniel Lokshtanov; Integrated MSc: PSG College of Technology, India, where she conducted research under Prof. Venkatesh Raman and Prof. Saket Saurabh at Institute of Mathematical Sciences (IMSc), Chennai.
Background
Research interests include theoretical computer science, database theory, and data mining. During her PhD, she focused on the parameterization and approximability of graph and hypergraph optimization problems. More recently, her research focuses on designing efficient algorithms for problems in data mining and databases.
Miscellany
Passionate about teaching and mentoring, having taught multiple CS courses at UCSB and mentored both undergraduate and graduate students. Organized multiple events that promote collaboration and inclusion through Women in Computer Science and UCSB's graduate student body. Holds the UCSB CCUT - Certificate in College and University Teaching.