Shuchi Chawla is an Indian computer scientist who works in the design and analysis of algorithms,[1] and is known for her research on correlation clustering,[CC] information privacy,[PD] mechanism design,[MD] approximation algorithms,[AO] hardness of approximation,[HA] and algorithmic bias.[2] She works as a professor of computer science at the University of Texas at Austin.[3]

Shuchi Chawla
Alma mater
Known foralgorithms research
Awards
Scientific career
FieldsComputer science
InstitutionsUniversity of Texas at Austin

Education and career

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Chawla earned a bachelor's degree from the Indian Institute of Technology Delhi in 2000,[1][4] and received her Ph.D. from Carnegie Mellon University in 2005. Her dissertation, Graph Algorithms for Planning and Partitioning, was supervised by Avrim Blum.[5] After postdoctoral studies at Stanford University under the mentorship of Tim Roughgarden,[6] and at Microsoft Research, Silicon Valley, she joined the Wisconsin faculty in 2006.[4]. She joined the UT-Austin faculty in 2021. She won a Sloan Research Fellowship in 2009,[7] and was named a Kavli Fellow in 2012.[8]

Selected publications

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MC.
Blum, Avrim; Chawla, Shuchi (2001), "Learning from labeled and unlabeled data using graph mincuts" (PDF), Proceedings of the Eighteenth International Conference on Machine Learning (ICML '01), San Francisco, CA, USA: Morgan Kaufmann, pp. 19–26, ISBN 1-55860-778-1.
CC.
Bansal, Nikhil; Blum, Avrim; Chawla, Shuchi (July 2004), "Correlation clustering" (PDF), Machine Learning, 56 (1–3): 89–113, doi:10.1023/b:mach.0000033116.57574.95, S2CID 207582394.
PD.
Chawla, Shuchi; Dwork, Cynthia; McSherry, Frank; Smith, Adam; Wee, Hoeteck (2005), "Toward privacy in public databases" (PDF), in Kilian, Joe (ed.), Theory of Cryptography: Second Theory of Cryptography Conference, TCC 2005, Cambridge, MA, USA, February 10-12, 2005, Proceedings, Lecture Notes in Computer Science, vol. 3378, Springer, pp. 363–385, doi:10.1007/978-3-540-30576-7_20, ISBN 978-3-540-24573-5.
HA.
Chawla, Shuchi; Krauthgamer, Robert; Kumar, Ravi; Rabani, Yuval; Sivakumar, D. (2006), "On the hardness of approximating multicut and sparsest-cut", Computational Complexity, 15 (2): 94–114, doi:10.1007/s00037-006-0210-9, MR 2243123.
AO.
Blum, Avrim; Chawla, Shuchi; Karger, David R.; Lane, Terran; Meyerson, Adam; Minkoff, Maria (2007), "Approximation algorithms for orienteering and discounted-reward TSP", SIAM Journal on Computing, 37 (2): 653–670, doi:10.1137/050645464, MR 2318723. Previously announced in the Proceedings of the 44th Annual IEEE Symposium on Foundations of Computer Science, 2003.
MD.
Chawla, Shuchi; Hartline, Jason D.; Malec, David L.; Sivan, Balasubramanian (2010), "Multi-parameter mechanism design and sequential posted pricing" (PDF), Proceedings of the Forty-Second ACM Symposium on Theory of Computing (STOC '10), New York, NY, USA: ACM, pp. 311–320, arXiv:0907.2435, doi:10.1145/1806689.1806733, ISBN 978-1-4503-0050-6, S2CID 53036431.

References

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  1. ^ a b Curriculum vitae (PDF), Carnegie Mellon University, 2005, retrieved 2018-09-18
  2. ^ Kassner, Michael (July 11, 2017), "Fairness-verification tool helps avoid illegal bias in algorithms", TechRepublic
  3. ^ "Professor", Faculty profile, UT-Austin Computer Science Department, retrieved 2021-03-10
  4. ^ a b "Professor", Faculty profile, UW-Madison Computer Science Department, retrieved 2021-03-10
  5. ^ Shuchi Chawla at the Mathematics Genealogy Project
  6. ^ Roughgarden, Tim, Tim Roughgarden's Current and Past Students, Stanford University, retrieved 2018-09-20
  7. ^ Devitt, Terry (February 20, 2009), "Four faculty awarded prestigious Sloan Fellowships", University of Wisconsin–Madison News
  8. ^ Barncard, Chris (November 8, 2012), "UW contingent among Kavli Frontiers of Science fellows", University of Wisconsin–Madison News
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