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Merge pull request #5 from sc932/sclark_add_recruiting_to_CV
Updated CV
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‎ScottClarkCV.pdf

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‎ScottClarkCV.tex

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\begin{tabular*}{7in}{l@{\extracolsep{\fill}}r}
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\textbf{\Large Scott Clark} & \textbf{\today} \\
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Graduate Student, DOE Computational Science Graduate Fellow & [email protected] \\
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657 Rhodes Hall, Ithaca, NY, 14853 & cam.cornell.edu/$\sim$sc932 \\
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Data Mining Engineer and Team Lead at Yelp & [email protected] \\
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http://github.com/sc932 & http://scottclark.io \\
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\end{tabular*}
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\\
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\item
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\ressubheading{Cornell University}{Ithaca, NY}{Ph.D. Applied Math (current), M.S. Computer Science}{2008 - 2012(projected)}
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\ressubheading{Cornell University}{Ithaca, NY}{Ph.D. Applied Math, M.S. Computer Science}{2008 - 2012}
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\begin{itemize}
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\resitem{Department of Energy Computational Science Graduate Fellow (Full Scholarship, 4 years)}
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\resitem{Emphasis on machine learning/data mining and algorithm design/software development related to bioinformatics and optimization}
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\resitem{Committee: Peter Frazier (advisor), Steve Strogatz, Bart Selman, Zhong Wang}
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\resitem{Committee: Prof. Peter Frazier (advisor), Prof. Steve Strogatz, Prof. Bart Selman, Dr. Zhong Wang}
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\end{itemize}
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\resitem{Strong emphasis on scientific computing, numerical analysis and software development}
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\resitem{Advisors: Rubin Landau, Malgorzata Peszynska}
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\resitem{Advisors: Prof. Rubin Landau, Prof. Malgorzata Peszynska}
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\end{itemize}
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\resheading{Industry Experience}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\begin{itemize}
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\item
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\ressubheading{Yelp Inc}{San Francisco, CA}{Data Mining Engineer and Lead on Ad Targeting Team}{July 2012 - current}
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\begin{itemize}
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\resitem{{\bf Optimization:} Co-developed and led team for MOE: the Metric Optimization Engine (\texttt{github.com/Yelp/MOE}, an \textbf{open source} optimization framework), found significant gains in different metrics across the organization using Bayesian Global Optimization algorithms.}
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\resitem{{\bf Targeting:} Implemented multi-armed bandit strategies for ad selection, sole targeting engineer on mobile app ads rollout, developed new location-based targeting algorithms, advised and helped develop other machine learning and math based targeting projects.}
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\resitem{{\bf Leadership:} Led cross-organization teams as director of the Yelp Dataset Challenge, MOE team lead, intern and new-hire mentor, founder and organizer of Applied Learning Group (bi-weekly, all-engineering technical speaker series) and more. Successfully managed projects from inception to on-time completion; balancing tradeoffs and coordinating teamwork.}
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\resitem{{\bf Recruiting:} Created, implemented, and directed \texttt{yelp.com/dataset\_challenge}, gave many dozens of tech talks across the country, led events, gave hundreds of technical interviews, and closed candidates.}
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\end{itemize}
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\item
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\ressubheading{Bloomberg LP}{New York, NY}{Financial Software Development Intern}{Summer 2011}
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\begin{itemize}
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\end{itemize}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\resheading{Publications {\mdseries(available at cam.cornell.edu/$\sim$sc932/Research.html)}}
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\resheading{Publications}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\begin{enumerate}
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\item SC Clark, {\it PARALLEL MACHINE LEARNING ALGORITHMS IN BIOINFORMATICS AND GLOBAL OPTIMIZATION}. PhD Thesis in Applied Mathematics, Cornell University, May 2012.
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\item SC Clark, R Egan, P Frazier, and Z Wang, {\it ALE: an Assembly Likelihood Evaluation Framework to Assess the
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Accuracy of Metagenome Assemblies} in preparation for {\it Genome Research} (2012).
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Accuracy of Metagenome Assemblies} {\it Bioinformatics} {\bf 29}, 4, 435-443 (2013).
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\item SC Clark, N Hengartner, and J Berendzen, {\it Velvetrope: a parallel, bitwise algorithm for finding homologous regions within multiple sequences} submitted to {\it BMC Bioinformatics} (2010).
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\item SC Clark, {\it Solving Genomic Jigsaws}. DEIXIS Magazine {\bf 8} 30--32 (2010).
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\item KC Kunes, SC Clark, DL Cox, and RR Singh, {\it Left handed β helix models for mammalian prion fibrils.} Prion {\bf 2}, 2, 81--90 (2008).
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\resheading{Presentations}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\begin{itemize}
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\item
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{\it Introducing the Metric Optimization Engine (MOE); an open source, black box, Bayesian Global Optimization engine for optimal experimental design}
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\begin{itemize}
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\item MLconf 2014 (Talk) -- San Francisco, CA (October 2014)
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\item Stanford University AI Lab (Talk) -- Palo Alto, CA (October 2014)
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\item San Francisco Machine Learning Meetup (Talk) -- San Francisco, CA (October 2014)
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\item ACM RecSys 2014 (Talk) -- Palo Alto, CA (October 2014)
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\item Stanford University (Talk) -- Palo Alto, CA (October 2014)
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\item Microsoft Research (Talk) -- Mountain View, CA (September 2014)
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\item University of California, Berkeley (Talk) -- Berkeley, CA (September 2014)
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\item Cornell University (Talk) -- Ithaca, NY (September 2014)
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\item Hack Lab (Talk) -- Zagreb, Croatia (September 2014)
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\item BounceExchange (Talk) -- New York, NY (August 2014)
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\item BrightRoll (Talk) -- San Francisco, CA (August 2014)
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\item LinkedIn (Talk) -- Mountain View, CA (August 2014)
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\item Netflix (Talk) -- Los Gatos, CA (August 2014)
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\item Optimizely (Talk) -- San Francisco, CA (August 2014)
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\end{itemize}
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\item
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{\it Optimal Learning for Fun and Profit, an introduction to multi-armed bandits}
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\begin{itemize}
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\item Yelp Headquarters (Several Talks) -- San Francisco, CA (2013-2014)
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\item Cornell University (Talk) -- Ithaca, NY (Feburary 2014)
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\item Stanford University (Talk) -- Palo Alto, CA (January 2014)
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\item University of California, Davis (Talk) -- Davis, CA (May 2014)
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\item Cornell University (Talk) -- Ithaca, NY (September 2013)
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\item Carnegie Mellon University (Talk) -- Mountain View, CA (April 2013)
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\item Harvey Mudd College (Talk) -- Claremont, CA (April 2013)
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\item Cornell University (Talk) -- Ithaca, NY (Feburary 2013)
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\item Stanford University (Talk) -- Palo Alto, CA (January 2013)
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\item Cornell University (Talk) -- Ithaca, NY (September 2012)
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\end{itemize}
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\item
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{\it Parallel Machine Learning Algorithms in Bioinformatics and Global Optimization, Thesis Defense}
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\begin{itemize}
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\item DOE CSGF Annual Conference (Talk) -- Washington D.C. (June 2012)
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\item Cornell University (Talk) -- Ithaca, NY (May 2012)
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\end{itemize}
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{\it Learning for Metagenomic Assembly Validation and Optimization}
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\begin{itemize}
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\item Supercomputing 2011 (SC11) (Poster) -- Seattle, WA (November 2011)
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\item DOE CSGF Annual Conference (Poster, award finalist) -- Washington D.C. (June 2011)
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\item SIAM CSE conference (Talk) -- Reno, NV (February 2011)
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\item INFORMS annual meeting (Talk) -- Austin, TX (November 2010)
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\item Cornell Math Sciences Seminar (Talk) -- Ithaca, NY (November 2010)
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\item Cornell Engineering Research Conference (Poster) -- Ithaca, NY (May 2010)
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\item DOE CSGF Annual Conference (Poster, award finalist) -- Washington D.C. (June 2009)
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\end{itemize}
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{\it Finite Element Analysis of Uncertain Interfaces}
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\begin{itemize}
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\pagebreak
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\resheading{Recruiting Events}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\begin{itemize}
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\item
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Carnegie Mellon University
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\begin{itemize}
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\item Seminar Talk (speaker) -- April 2013
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\end{itemize}
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\item
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Cornell University
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\begin{itemize}
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\item Career Fair -- September 2014
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\item Tech Networking Reception -- September 2014
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\item Resume Review and Office Hours -- September 2014
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\item Tech Talk (speaker) -- September 2014
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\item On campus interviews -- September 2014
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\item Career Fair -- February 2014
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\item Tech Networking Reception -- February 2014
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\item Resume Review and Office Hours -- February 2014
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\item Tech Talk (speaker) -- February 2014
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\item On campus interviews -- February 2014
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\item Career Fair -- September 2013
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\item Resume Review and Office Hours -- September 2013
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\item Tech Talk (speaker) -- September 2013
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\item On campus interviews -- September 2013
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\item Career Fair -- February 2013
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\item Tech Talk (speaker) -- February 2013
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\item Resume Review and Office Hours -- February 2013
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\item On campus interviews -- February 2013
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\item Career Fair -- September 2012
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\item Tech Talk (speaker) -- September 2012
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\item On campus interviews -- September 2012
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\end{itemize}
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\item
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Harvey Mudd College
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\begin{itemize}
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\item Tech Talk (speaker) -- April 2013
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\item 5C Hackathon (speaker, judge) -- April 2013
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\end{itemize}
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\item
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Insight Data Science
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\begin{itemize}
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\item Data Science Fellows Presentations -- October 2014
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\item Data Engineering Fellows Presentations -- October 2014
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\item Data Engineering Fellows Pitch (speaker) -- September 2014
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\item Data Engineering Fellows Presentations -- July 2014
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\item Data Science Fellows Presentations -- July 2014
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\item Data Engineering Fellows Pitch (speaker) -- July 2014
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\item Data Science Fellows Presentations -- February 2014
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\item Data Science Fellows Pitch (speaker) -- January 2014
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\item Data Science Fellows Presentations -- October 2013
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\item Data Science Fellows Presentations -- July 2013
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\item Data Science Fellows Pitch (speaker) -- June 2013
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\item Data Science Fellows Pitch (speaker) -- February 2013
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\end{itemize}
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\item
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Stanford University
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\begin{itemize}
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\item Tech Talk (speaker) -- October 2014
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\item Big Hack (speaker, judge) -- April 2014
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\item Stanford AI Lab Masters Presentations (speaker) -- March 2014
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\item Tech Talk (speaker) -- January 2014
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\item Tech Talk (speaker) -- January 2013
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\end{itemize}
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\item
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University of California, San Diego
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\begin{itemize}
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\item Career Fair -- October 2013
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\item Tech Talk (speaker) -- October 2013
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\item On Campus Interviews -- October 2013
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\end{itemize}
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\item
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University of California, Davis
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\begin{itemize}
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\item Mathetmatics Department Seminar (speaker) -- May 2014
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\item Mathetmatics Seminar Reception and Dinner -- May 2014
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\end{itemize}
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\item
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University of California, Berkeley
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\begin{itemize}
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\item Tech Talk (speaker) -- September 2014
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\item Information School Final Project Presentations (judge) -- May 2014
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\end{itemize}
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\item
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Yelp Headquarters
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\begin{itemize}
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\item Dozens of closing calls and dinners -- 2012-2014
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\item 200+ Software Engineering and Data Science interviews -- 2012-2014
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\item San Francisco Data Science Meetup (introductory speaker) -- August 2014
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\item Intern NITE (speaker) -- July 2014
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\item Berkeley @ Yelp Tech Talk (speaker) -- April 2014
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\item Yelp Open House Event (speaker) -- November 2013
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\item Intern NITE (speaker) -- July 2013
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\item Stanford LifeSwap (speaker) -- January 2013
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\item Intern NITE (speaker) -- October 2012
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\end{itemize}
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\end{itemize}
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\resheading{Participation in Workshops and Conferences}
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\begin{itemize}
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\ressubheading{KDD 2014}{New York, NY}{Association for Computing Machinery/SIGKDD}{August 24-27, 2014}
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\item
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\ressubheading{WWW 2013}{Rio de Janero, Brazil}{World Wide Web Conference}{May 13-17, 2013}
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\ressubheading{Supercomuputing 2011}{Seattle, WA}{Association for Computing Machinery/IEEE}{November 12-18, 2011}
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\resheading{Awards, Grants \& Honours}
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\resheading{Awards, Grants \& Honors}
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\vspace{-2pt}
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\begin{center}\begin{tabular*}{6.6in}{l@{\extracolsep{\fill}}r}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\begin{itemize}
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\item \ressubheading{ALE: Assembly Likelihood Estimator}{C, Python}{Probabalistic evaluation of genome assemblies}{2010 - Current}
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\item \ressubheading{MOE: Metric Optimization Engine}{Python, C++, CUDA}{Global, black box optimization of expensive functions}{2012 - Current}
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\item \ressubheading{ALE: Assembly Likelihood Estimator}{C, Python}{Probabalistic evaluation of genome assemblies}{2010 - 2012}
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\item \ressubheading{Velvetrope}{Python, C, CUDA}{A parallel statistical algorithm for finding homologous regions within sequences}{2009 - 2010}
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\item \ressubheading{BetaHelix}{Java}{Computes various statistics about a left or right handed beta helix}{2006 - 2007}
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\begin{itemize}
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\item {\bf Development:} C/C++, Python, CUDA, JavaScript, Ruby (Rails), Java, FORTRAN, MATLAB
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\item {\bf Development:} Python (preferred), C/C++, CUDA, JavaScript, \LaTeX
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\item {\bf Numerical Analysis:} Optimization, Linear Algebra, ODEs, PDEs, Monte Carlo, Computational Physics, Complex Systems, Iterative Methods, Tomology
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\item {\bf Numerical Analysis and Computer Science:} Machine Learning, Data Mining, Optimization, Computational Science, Artificial Intelligence, Linear Algebra, Monte Carlo Methods, ODEs, PDEs, Iterative Methods, Parallel Programming, Distributed Systems, Data Structures
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\item {\bf Computer Science:} Machine Learning, Data Mining, Parallel Programming, Data Structures, Artificial Intelligence, Operating Systems
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\item {\bf Technology:} MapReduce, numerical libraries, web frameworks, databases, linux, git, vim, tmux
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\item Discovering and implementing new ideas. Give me an API and a problem and I will figure it out.
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