Ashwin Machanavajjhala

Associate Professor
Department of Computer Science

D329, Levine Research Science Building
Duke University, Durham NC 27708

Phone: 919-660-6590

Curriculum Vitae

Publications (DBLP)

News: I am spending 50% of my time as Cheif Scientist of Tumult Labs.

Bio: Ashwin Machanavajjhala is an Associate Professor in the Department of Computer Science, Duke University, and co-founder of Tumult Labs. His primary research interests lie in algorithms for privacy preserving data analytics with a focus on differential privacy. He is an ACM Distinguished Member, a recipient of the ACM SIGMOD 2021 Test of Time and IEEE ICDE 2017 Influential Paper awards, and the NSF Faculty Early CAREER award in 2013. In collaboration with the US Census Bureau, he is credited with developing the first real world deployment of differential privacy. Ashwin graduated with a Ph.D. from the Department of Computer Science, Cornell University and a B.Tech in Computer Science and Engineering from the Indian Institute of Technology, Madras.

  • Amir Gilad
  • Johes Bater

  • Yuchao Tao
  • David Pujol
  • Chenghong Wang
  • Shweta Patwa
  • Ios Kotsogiannis (PhD 2020) (→ Snap Inc.)
  • Nisarg Raval (PhD 2019) (→ LinkedIn)
  • Xi He (PhD 2018) (→ U Waterloo, Asst. Prof.)
  • Yan Chen (PhD 2018) (→ Google)
  • Ben Stoddard (MS)  (→ Google)
  • Kiron Lebeck (BS) (→ PhD candidate at U Washington)
  • Bharat Chelapalli (MS)  (→ Amazon)

Prospective Students: I am interested in research into privacy preserving data analysis, especially differential privacy, and algortihmic fairness. Please read these representative papers before contacting me:

  • "Practical Security and Privacy for Database Systems", (with Xi He, Jennie Rogers, Johes Bater, Chenghong Wang, Xiao Wang), SIGMOD 2021
  • "Differential Privacy in the Wild: A tutorial on current practices & open challenges", (with Xi He, Michael Hay), VLDB/SIGMOD 2017, Part 1 (slides, video), Part 2 (slides, video)
  • "Entity Resolution", (with L. Getoor) KDD Conference Aug 2013, Very Large Databases Conference, August 2012, AAAI Conference, August 2012
  • "Privacy in Data Publishing: Tutorial (part I and part II)", (with J. Gehrke) IEEE ICDE 2010, IEEE Symposium on Security and Privacy, 2009