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Computer Science Supply Chain

Location:
Providence, RI
Posted:
November 16, 2012

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Resume:

E RIC S ODOMKA

*** ******** ******, *** *****, Providence, RI 02912 406-***-****; abpi4t@r.postjobfree.com

Objective

I am a Ph.D. Candidate in Computer Science interested in solving current research

problems in electronic markets. I am most interested in modeling buyer and seller behavior,

better understanding auction dynamics, providing decision support for market

participants, or any similar challenges in online auctions or other strategic domains.

Education

Brown University Providence, RI

Ph.D. Candidate, Computer Science, 2007-present

Sc.M., Computer Science, 2009

Cumulative GPA: 4.0/4.0

Advisor: Amy Greenwald

Relevant Coursework: Design of Agents for Bidding in Sponsored Search Auctions,

Game Theory, Introduction to Combinatorial Optimization, Probabilistic Methods in

Computer Science, Game-Theoretic Arti cial Intelligence, Solving Hard Problems in

Combinatorial Optimization, Recent Applications of Probability and Statistics,

Approximation Algorithms

University of Minnesota Minneapolis, MN

B.S. Computer Science, 2006

Graduated Summa Cum Laude.

Advisor: Maria Gini

Experience

Google New York, NY

Software Engineering Intern: DoubleClick for Publishers, Summer 2012

Implemented dynamic programming, linear programming, and controller-based

methods of optimizing publisher revenue given Ad Exchange (AdX) bid distributions.

Created prediction and optimization testing frameworks for rapid prototyping and

evaluation of price predictors and optimization algorithms.

Visualized publisher data on various dimensions, such as impression competition

amongst a publisher s advertisers, expected revenue over the space of possible actions,

and revenue function approximations with respect to advertiser contract satisfaction.

Yahoo! Research New York, NY

Research Intern: Economics and Social Systems, Fall 2010

Implemented methods to infer advertiser values-per-click based on bidding behavior

across keywords.

Created hierarchical regression model to (1) understand which keyword features were

driving each advertiser s bids and values-per-click, and (2) predict advertiser

bids/values on new keywords.

Constructed models of advertiser click/cost beliefs from sponsored search logs.

The Search Agency East Greenwich, RI

Research Intern, 2009-2010

Developed methods to estimate sponsored search auction parameters using Google

bid simulator data from multiple accounts.

Created simulations to better understand counter-intuitive auction dynamics with

budget-constrained bidders, such as potential non-monotonicity in clicks with

increasing bids.

Brown University Providence, RI

Graduate Teaching Assistant, 2009-2011

Courses TAed: Autonomous Agents and Computational Market Design, Design of

Agents for Bidding in Sponsored Search Auctions, Introduction to Arti cial

Intelligence.

Co-led students in designing various components of autonomous sponsored search

bidding agents which ran in the Trading Agent Competition for Ad Auctions.

Led discussions on recent publications in sponsored search research.

Select Awards

Yahoo! Key Scienti c Challenges Award Recipient: Computational Advertising, 2012.

Facebook Fellowship Finalist, 2012.

TAC AA Finalist, 2009, 2010, 2011, 2012.

TAC SCM Finalist, 2005, 2006, 2008, 2009, 2010.

TAC Best Poster Award, May 2006.

Research Projects

Dutch Flower Auctions Rotterdam, The Netherlands

January 2011-present

Formulated MDP-based best-response algorithms to search for epsilon-equilibria in a

stylized model of the Dutch Flower Auctions.

Developed a simulator based on actual Dutch Flower Auction data to enable

evaluation of various price predictors and bidding strategies.

Trading Agent Competition for Ad Auctions Brown University

2008-present

Achieved 2nd place in the annual Trading Agent Competition for Ad Auctions in

2009, 2010, 2011, and 2012.

Developed demand predictors and multiple-choice knapsack-based optimization

algorithms for budget-constrained bidding in sponsored search.

Formulated mathematical programs to disaggregate average position data to more

accurately estimate the number of impressions seen by each advertiser in each slot.

Trading Agent Competition for Supply Chain Management Brown University, Univer-

sity of Minnesota

2004-2010

Reached nals of the annual Trading Agent Competition for Supply Chain

Management in 2005, 2006, 2008, 2009, and 2010.

Led Brown University s agent in 2008-2010, and team member for the University of

Minnesota s agent in 2004-2007.

Designed and implemented various supplier price predictors, sales price predictors,

procurement algorithms, and bidding algorithms using both mathematical

programming techniques and greedy marginal pro t-based algorithms.

Created a controlled testing framework to assist in game analysis, sensitivity analysis,

and variance reduction.

Publications

Amy Greenwald, Jiacui Li, and Eric Sodomka. Approximating Equilibria in Sequential

Auctions with Incomplete Information and Multi-Unit Demand. Neural Information

Processing Systems (NIPS), December 2012.

Eric Sodomka, Sebastien Lahaie, and Dustin Hilliard. A Hierarchical Model for Value

Estimation in Sponsored Search. INFORMS 2012 Annual Meeting, October 2012.

Michael P. Wellman, Eric Sodomka, and Amy Greenwald. Self-Con rming Price Prediction

Strategies for Simultaneous One-Shot Auctions. Twenty-Eighth Conference on Uncertainty

in Arti cial Intelligence (UAI), August 2012.

Amy Greenwald, Jiacui Li, and Eric Sodomka. Approximating Equilibria in Sequential

Auctions with Incomplete Information and Multi-Unit Demand. ICML-12 Workshop on

Markets, Mechanisms, and Multi-Agent Models, July 2012.

Thomas Goff, Amy Greenwald, Elizabeth Hilliard, Wolfgang Ketter and Eric Sodomka.

JACK: A Java Auction Con guration Kit. AAMAS-12 Workshop on Agent-Mediated

Electronic Commerce (AMEC) and Trading Agent Design and Analysis (TADA), June 2012.

Michael Wellman, Eric Sodomka, and Amy Greenwald. Price Prediction Strategies for

Simultaneous One-Shot Auctions. In NSF/CEME Decentralization Conference. March

2012.

Eric Sodomka, Jordan Berg, Amy Greenwald, Wolf Ketter, Yixin Lu, and Eric van Heck.

Autonomous Trading in Simulated Dutch Flower Auctions. INFORMS 2011 Annual

Meeting. November 2011.

Jordan Berg, Carleton Coffrin, Amy Greenwald and Eric Sodomka. Rank and Impression

Estimation in TAC AA. In IJCAI 2011 Workshop on Trading Agent Design and Analysis.

July 2011.

Eric Sodomka, Sebastien Lahaie, and Dustin Hillard. A Hierarchical Model for Value

Estimation in Sponsored Search. In EC 2011 Seventh Ad Auctions Workshop. June 2011.

Jordan Berg, Amy Greenwald, Victor Naroditskiy, and Eric Sodomka. A Knapsack-Based

Approach to Bidding in Ad Auctions. In the 19th European Conference on Arti cial

Intelligence (ECAI). August 2010.

Jordan Berg, Amy Greenwald, Victor Naroditskiy, and Eric Sodomka. A First Approach to

Autonomous Bidding in Ad Auctions. In EC 10 Workshop on Trading Agent Design and

Analysis (TADA 2010). June 2010.

Amy Greenwald, Victor Naroditskiy, Tyler Odean, Mauricio Ramirez, Eric Sodomka, Joe

Zimmerman, and Clark Cutler. Marginal Bidding: An Application of the Equimarginal

Principle to Bidding in TAC SCM. In edited volume on Agent Mediated Electronic

Commerce and Trading Agent Design and Analysis, Lecture Notes in Business Information

Processing, Volume 13. 2009.

Eric Sodomka, John Collins, and Maria Gini. Ef cient Statistical Methods for Evaluating

Trading Agent Performance. Proceedings of AAAI-07, Vancouver, Canada, July 2007.

Wolfgang Ketter, Eric Sodomka, Amrudin Agovic, John Collins, and Maria Gini. Strategic

Sales Management in an Autonomous Trading Agent for TAC SCM (demonstration).

Proceedings of AAAI-06, Boston, Massachusetts, USA, July 2006.

Brett Borghetti and Eric Sodomka. Performance Evaluation Methods for the Trading Agent

Competition (student abstract). Proceedings of AAAI-06, pp 1857- 1858, Boston,

Massachusetts, USA, July 2006.

Brett Borghetti, Eric Sodomka, John Collins, and Maria Gini. A Market-Pressure-Based

Performance Evaluator for TAC-SCM (poster). Proceedings of AAMAS/ TADA-AMEC-06,

Hakodate, Japan, May 2006.

Paul Schrater, Eric Sodomka, Charles Sloane. Decision-Making with Monetary Value

Uncertainty (poster). Proceedings of the Society for Judgment and Decision Making

Conference, Toronto, Canada, November 2005.



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