I am a PhD candidate in Management Science & Engineering Department at Stanford. My research is in Computational Social Science, and my PhD focus area is Data Science. I've primarily studied problems in political science using approachs from machine learning and applied statistics. My advisor is Sharad Goel, and I am also a member of MS&E’s Social Algorithms Lab (SOAL).

Prior to Stanford, I completed a Master's degree in Electrical & Computer Engineering from UC Davis, and a Bachelor's degree in Electrical Engineering from Sharif University of Technology. You can find my resume here, and please feel free to get in touch with me on LinkedIn.

Publications

• Decoupling and Contrasting Turnout and Sentiment in Electoral Change: Evidence from recent Congressional Elections
  With Tobias Konitzer, Sharad Goel, and David Rothschild
  (working paper)
  
  
• One Person, One Vote: Estimating the Prevalence of Double Voting in U.S. Presidential Elections
  With Sharad Goel, Marc Meredith, Michael Morse, and David Rothschild
  (under review)
  
  
• Disentangling Bias and Variance in Election Polls
  With David Rothschild, Sharad Goel, and Andrew Gelman
  Journal of the American Statistical Association, Vol. 113, 2018.
  
  
• LDPC Decoder with an Adaptive Wordwidth Datapath for Energy and BER Co-optimization
  With Tinoosh Mohsenin and Bevan Baas
  Journal of VLSI Signal Processing, February 2013.
  
  
• A Reduced Routing Network Architecture for Partial Parallel LDPC Decoders
  With Tinoosh Mohsenin and Bevan Baas
  Asilomar Conference on Signals, Systems and Computers, November 2011.
  
  
• Low power LDPC decoder with efficient stopping scheme for undecodable blocks
  With Tinoosh Mohsenin and Bevan Baas
  IEEE International Symposium on Circuits and systems, May 2011.
  

Press Coverage

• Stanford Engineering, March 2018: The margin of error is bigger than you think
• NPR's This American Life, October 2017: Things I mean to know — fraud complex
• Washington Post, July 2017: This anti-voter-fraud program gets it wrong over 99 percent of the time. The GOP wants to take it nationwide.
• Nation, June 2017: The Trump Administration Is Planning an Unprecedented Attack on Voting Rights
• CNN, November 2016: Why the polls failed
• Slate, November 2016: Chasing Electoral Ghosts
• CNN, October 2016: Can the Polls be Trusted?
• New York Times, October 2016: When You Hear the Margin of Error Is Plus or Minus 3 Percent, Think 7 Instead
• New Yorker, November 2014: Does Anyone Know Who will Win the Senate Tonight?
• Huffington Post, November 2014: Hidden Errors and Overconfident Pollsters