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Leadership Team
/about/

Co-President: Brad Gordon

Brad Gordon
  • Full-time software engineer at Fusionbox with a passion for computational statistics and machine learning
  • Attends CSCI and APPM courses at CU on a part-time basis
  • Systems minded data scientist
  • Graduated from Grinnell College with a dual MA in Mathematics and Philosophy
  • Ardent consumer of political data (polls, economic/social policy analysis, you name it)

Co-President: Monal Narasimhamurthy

Monal Narasimhamurthy
  • First year PhD student, advised by Prof Matthew Hammer
  • Member of the Programming Languages and Verification group at CU Boulder (CUPLV)
  • Research focus on Programming Languages and Incremental Computation
  • Worked or interned previously at Amazon, Media.net and Apigee
  • Code at github.com/monal, LinkedIn

Team Captain: Pedro Rodriguez

Pedro Rodriguez 
      <li>3rd year PhD student advised by Jordan Boyd-Graber in machine learning, natural language processing, and specifically <a href="http://www.umiacs.umd.edu/~jbg/projects/IIS-1320538.html" target="_blank">question answering</a></li>
  <li>Data scientist and research scientist experienced in software and data engineering</li>
  <li>Academic or Industry alumni of UC Berkeley Computer Science, <a href="http://amplab.cs.berkeley.edu" target="_blank">AMPLab</a>, <a href="http://trulia.com" target="_blank">Trulia/Zillow</a>, Oracle Data Cloud, and <a href="http://riotgames.com" target="_blank">Riot Games</a></li>
  <li>Website at <a href="https://pedrorodriguez.io" target="_blank">pedrorodriguez.io</a>, Code at <a href="https://github.com/EntilZha" target="_blank">github.com/EntilZha</a>, <a href="https://www.linkedin.com/in/pedrorodriguezscience" target="_blank">LinkedIn</a></li>
  <li>Avid Downhill/Telemark/Backcountry skier and rock climber</li>

</ul>

Faculty Advisor: Rafael Frongillo

Rafael Frongillo
  • Assistant professor of computer science at CU Boulder, and affiliate faculty in applied math.
  • Research is at the interface of theoretical machine learning and economics,encompassing topics such as information elicitation, crowdsourcing, and markets.
  • Was previously a postdoc at MSR-NYC and then at Harvard's CRCS with Yiling Chen and Yaron Singer in the EconCS group
  • Completed Ph.D. in theoretical computer science at Berkeley, advised by Christos Papadimitriou and funded by the NDSEG Fellowship
  • Website , LinkedIn