Scholar
Kirankumar Shiragur
Google Scholar ID: OGweeKgAAAAJ
Senior researcher at Microsoft Research
Citations & Impact
Citations
370
H-index
10
i10-index
10
Publications
20
Co-authors
16
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including 'Testing with Non-identically Distributed Samples' (under review at TMLR), 'Graph-Based Algorithms for Diverse Similarity Search' (accepted at ICML 2025), 'Sort Before You Prune: Improved Worst-Case Guarantees of the DiskANN Family of Graphs' (accepted at ICML 2025), and more.
Research Experience
- Worked at Microsoft Research India for one year with Deeparnab Chakrabarty; Postdoctoral research fellow at the Broad Institute of MIT and Harvard, under the guidance of Prof. Caroline Uhler; Research intern at Adobe Research in summer 2019, supervised by Tung Mai and Anup Rao.
Education
- Ph.D.: Stanford University, advised by Moses Charikar and Aaron Sidford; M.S.: Indian Institute of Science, advised by Prof. Arnab Bhattacharyya.
Background
- Research interests: Algorithms, Machine Learning, Statistics, and Information Theory, with a recent focus on large-scale retrieval problems. Previously a senior researcher at Microsoft Research India.
Miscellany
- Coordinated 'Algorithms and Friends' at Stanford, offering help in solving algorithmic questions that came up in applied research.
