Siddhartha Sen  

Sid

Microsoft Research New York City
641 Avenue of the Americas
New York, NY 10011

Email: sidsen AT micro...

My CV (Updated: 10/2018)

I am a researcher in the Microsoft Research New York City lab, and previously a researcher in the MSR Silicon Valley lab. I use data structures, algorithms, and machine learning to build more powerful distributed systems. My current mission is to optimize systems infrastructure decisions in a way that is minimally disruptive, synergistic with human solutions, and safe.

We are hiring in systems at the MSR NYC lab! Click the link to see a list of open positions. We are currently looking for systems/ML engineers, data scientists, and interns to help us fulfill an ambitious agenda towards optimizing our cloud infrastructure using reinforcement learning. We are also looking for a postdoc/researcher.

I received my PhD from the Department of Computer Science at Princeton University, where I worked with Robert Tarjan in the Theory group and Michael Freedman in the Scalable Network Systems group. I spent my final year as a junior research scientist at New York University working with Jinyang Li. I was fortunate to be supported by the first Google Ph.D. Fellowship in Fault Tolerant Computing.

Prior to my PhD, I worked for three years in the Network Load Balancing group of Windows Server at Microsoft. I received my S.B. and M.Eng. in Computer Science from MIT, where my M. Eng thesis advisor was Charles Leiserson.

Publications

Author list of theory papers is alphabetical.

2018

2017

2016

2015

2014

2013

2012

2011

2010 and earlier

Patents

  • Client affinity in distributed load balancing systems
    with Vladimir Petter and Andrea D'Amato.
    United States Patent #8176495. Issued May 8, 2012.
  • Maintaining client affinity in network load balancing systems
    with Vladimir Petter, Andrea D'Amato, and Jimmy C. Yu.
    United States Patent #8046467. Issued Oct. 25, 2011.
  • Software testing techniques for stack-based environments
    with Amit Date.
    United States Patent #7827531. Issued Nov. 2, 2010.
  • Diagnosing problems in distributed systems
    with Joseph M. Joy, Nikolai Tillman, Colin L. Campbell, and Margus Veanes.
    United States Patent #7548911. Issued June 16, 2009.

Service

  • Conference/Workshop organizer: SysML '19, Systems for ML/ML Systems (NIPS '18, NIPS '17, NIPS '16), AI Systems (SOSP '17)
  • Program committees: SysML '19, ATC '18, SoCC '17, CoNEXT '16, NSDI '16, SOCC '15, P2P '15, SSS '13, SIROCCO '13
  • External reviews: ITCS '19, SODA '18, FOCS '17, ICALP '15, ESA '14, FOCS '13, NSDI '13, SODA '13, NSDI '12, CATS '12, SODA '12, SODA '11, ICALP '10, LATIN '10, STACS '10, Inf. Proc. Letters (IPL)
  • Journal reviews: Algorithmica, Theoretical Computer Science (TCS), Transactions on Knowledge and Data Engineering (TKDE), Software: Practice and Experienc (SPE), Information Processing Letters (IPL)

Teaching

  • Data Science Summer School (DS3), Instructor, Summer 2016-2018
  • Modeling Social Data (APAM E4990), Guest Lecturer, Spring 2018
  • Theory of Algorithms (COS 423), Teaching Assistant/Guest Lecturer, Spring 2009, 2011
  • General Computer Science (COS 126), Teaching Assistant, Fall 2008

Students

I've had the privilege of working with these talented students/postdocs: