Michael J. Freedman

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Michael J. Freedman
Mike Freedman (dotScale 2018).png
Born
Michael Joseph Freedman
Education Massachusetts Institute of Technology
New York University
Stanford University
Awards Presidential Early Career Award for Scientists and Engineers (2011)
Grace Murray Hopper Award (2018)
ACM Fellow (2019)
SIGOPS Mark Weiser Award (2021)
Scientific career
Fields Computer science
Institutions Princeton University
Thesis Democratizing Content Distribution  (2007)
Doctoral advisor David Mazières

Michael J. Freedman is an American computer scientist who is the Robert E. Kahn Professor of Computer Science at Princeton University, where he works on distributed systems, networking, and security. He is also the cofounder of database company Timescale.

Contents

Education and career

Freedman graduated from Wyoming Valley West High School in Pennsylvania in 1997. [1] In 2001 and 2002, he earned an S.B. and a M.Eng., respectively, at the Massachusetts Institute of Technology. In 2005 and 2007, he earned an M.S. and a Ph.D., respectively, from the Courant Institute of Mathematical Sciences at New York University, and spent 2005–2007 at Stanford University. Freedman completed his doctoral studies under David Mazières, who Freedman worked with to release the Coral Content Distribution Network in 2004. In 2007, he was appointed a professor at Princeton University. [2]

With David Mazières, Freedman designed and operated the Coral Content Distribution Network, a peer-to-peer content distribution network that was initially released in 2004 and operated until 2015. [3] In March 2006, Freedman co-founded Illuminics Systems, an information technology company working in the area of IP geolocation and intelligence, with Martin Casado. The company was acquired by Quova in November 2006. [2]

Freedman's research interests include distributed systems, networking, and security. [2] In addition to his work with the Coral Content Distribution Network, he has designed systems such as TimescaleDB and JetStream. [4]

Recognition

In 2011, Freedman received the Presidential Early Career Award for Scientists and Engineers for his work in designing, building, and prototyping a "modern, highly scalable, replicated storage cloud system" in addition to efforts to increase student diversity at Princeton University. [5] His research involving the design and deployment of geo-distributed systems earned him the Grace Murray Hopper Award in 2018. [6] He was elected as an ACM Fellow in 2019 "for contributions to robust distributed systems for the modern cloud", [7] and was awarded the SIGOPS Mark Weiser Award by the organization in 2021. [8]

Selected publications

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References

  1. ↑ "Michael Freedman co-authors paper". Times Leader . August 16, 2000. p. 69. Retrieved June 20, 2022– via newspapers.com.
  2. 1 2 3 "Michael J. Freedman". Princeton University.
  3. ↑ Freedman, Michael J.; Mazières, David (2003). "Sloppy Hashing and Self-Organizing Clusters" (PDF). Archived from the original (PDF) on August 18, 2018. Retrieved July 11, 2018– via coralcdn.org.
  4. ↑ Lewkowicz, Jakub (May 20, 2019). "ACM recognizes innovators for groundbreaking work in AI, computing and software". SD Times . D2 Emerge. Retrieved June 13, 2019.
  5. ↑ "President Obama Honors Early Career Scientists and Engineers" (Press release). National Science Foundation. August 3, 2012.
  6. ↑ "Michael J. Freedman". Association for Computing Machinery.
  7. ↑ "2019 ACM Fellows Recognized for Far-Reaching Accomplishments that Define the Digital Age" (Press release). Association for Computing Machinery. December 11, 2019. Retrieved December 11, 2019.
  8. ↑ Johansen, Håvard (October 28, 2021). "The Mark Weiser Award 2021". ACM SIGOPS . Retrieved November 12, 2021.
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