Samuel Ieong

Rm 120, Gates Building
353 Serra Mall
Stanford University
Stanford, CA 94305 		Tel: +1 650 725 8787
Fax: +1 650 497 9619
sieong AT cs DOT stanford DOT edu
http://www.stanford.edu/~sieong

RESEARCH INTERESTS

Artificial intellgience, Information retrieval, Decision theory, Algorithmic game theory, Machine learning.

 

EDUCATION

Sep 2002-
Jun 2008		 Stanford University, Stanford, CA
Ph.D. in Computer Science
Advisor: Prof. Yoav Shoham
Research areas: game theory, mechanism design, and planning
Teaching: multi agent systems, machine learning
Thesis topic: Cooperation in Competition: Efficiently Representing and Reasoning about Coalitional Games

 
Sep 1996-
May 2000		 Yale University, New Haven, CT
B.S., M.S., Summa Cum Laude with Distinction in Major, Computer Science and Economics
Advisor (Computer Science): Prof. Ming-Yang Kao
Advisor (Economics): Prof. John Geanakoplos

 

WORK EXPERIENCE

Apr 2008-
Jun 2008		 Clarium Capital Management, San Francisco, CA
Summer Associate, Research and Engineering
Conducted market factor analysis and macroeconomic studies, applying machine learning techniques and optimization to find systematic trends in financial instruments under different market conditions.

 

Jun 2007-
Sep 2007		 Microsoft Research, Mountain View, CA
Summer Intern, Internet Services Research Center
Conducted research on search relevance improvements, including new theoretical models of information retrieval, machine learning algorithm tuning, and performance metrics.

 

Sep 2002-
Jun 2008		 Stanford University, Stanford, CA
Graduate Research Assistant (Stanford Graduate Fellow)
Research with Prof. Yoav Shoham in Multi agent Systems, especially on game representations and reasoning, mechanism design, and planning. Research with Prof. Jean-Claude Latombe on algorithms for Protein Motion and Stochastic Simulations.

 

Jul 2000-
Aug 2002		 Morgan Stanley, London, United Kingdom and Hong Kong
Financial Analyst, Investment Banking
Specialize in Mergers and Acquisitions, and Financial Restructuring. Industry experience includes Oil and Gas, Commercial Banking, Insurance, Technology, Telecommunications, and Media.

 

Jul 1999-
Sep 1999		 Ellington Capital Management, Old Greenwich, CT
Summer Intern, Research
Conducted research on the use of quasi-random numbers for Monte-Carlo Simulation. Implemented algorithms and data structures for pricing of financial instruments and hedging.

 

TEACHING EXPERIENCE

Stanford University, Stanford, CA
Winter
2007		 CS224M: Multi Agent Systems
Teaching assistant to Prof. Yoav Shoham
Fall
2006		 CS229: Machine Learning
Teaching assistant to Prof.Andrew Ng

 

Yale University, New Haven, CT
Spring
1999		 CS365: Design and Analysis of Algorithms
Teaching assistant to Prof. Jim Aspnes

 

AWARDS AND HONORS

  • Stanford Graduate Fellowship, Stanford University, 2002-2005.
  • Russell Henry Chittenden Prize 1, Yale University, 2000.
  • Computer Science Prize 2, Yale University, 2000.
  • Louis F. Laun Award 3, Yale University, 2000.
  • Member of Phi Beta Kappa, Yale University, 1999.
  • Member of Tau Beta Pi, Yale University, 1998.
  • Sir Edward Youde Memorial Scholarship for Overseas Studies, 1996.

PROFESSIONAL ACTIVITIES

INVITED TALKS

  • Computer Science and Game Theory: Solving Problems in a Selfish World. Computer Science and Engineering (CSE) Seminar, Hong Kong University of Science and Technology. Hong Kong. Jun 2008.
  • Bayesian Coalitional Games. Game Theory Seminar, Stanford University. Stanford, CA. May 2008.
  • Mechanism Design for Stochastic Optimization Problems. Systems Engineering and Engineering Management Seminar, Chinese University of Hong Kong. Hong Kong. Jan 2008.
  • Mechanism Design for Stochastic Optimization Problems. INFORMS Annual Meeting. Seattle, WA. Nov 2007.
  • Coalitional Game Theory from a Computer Science Perspective. Game Theory and Decision Theory Seminar, University of British Columbia. Vancouver, Canada. Oct 2007.
  • Mechanism Design for Stochastic Optimization Problems. Dagstuhl seminar on Computational Social Systems and the Internet. Dagstuhl, Germany. Jul 2007.
  • Mechanism Design for Stochastic Optimization Problems. Game Theory Seminar, Stanford University. Stanford, CA. Apr 2007.

PUBLICATIONS

  1. Bypass Rates: Reducing Query Abandonment using Negative Inferences. Atish Das Sarma, Sreenivas Gollapudi, Samuel Ieong. KDD-08: to appear. 2008. [ps | pdf]
  2. Bayesian Coalitional Games. Samuel Ieong, Yoav Shoham. AAAI-08:to appear. 2008. [ps | pdf]
  3. Mechanism Design for Stochastic Optimization Problems. Samuel Ieong, Anthony Man-Cho So, Mukund Sundararajan. WINE-07:269-280. 2007. [ps | pdf]
    • Announcement appeared in SIGEcom Exchange, Dec 2007.
  4. Near-Optimal Search in Continuous Domains. Samuel Ieong, Nicolas Lambert, Yoav Shoham, Ronen Brafman. AAAI-07:1158-1163. 2007. [ps | pdf]
  5. Multi-Attribute Coalitional Games. Samuel Ieong, Yoav Shoham. ACM EC-06:170-179. 2006. [ps | pdf]
  6. Fast and Compact: A Simple Class of Congestion Games. Samuel Ieong, Bob McGrew, Eugene Nudelman, Yoav Shoham, Qixiang Sun. AAAI-05: 489-494. 2005. [ps | pdf]
  7. Marginal Contribution Nets: A Compact Representation Scheme for Coalitional Games. Samuel Ieong, Yoav Shoham. ACM EC-05: 193-292. 2005. [ps | pdf]
  8. Predicting RNA Secondary Structures with Arbitrary Pseudoknots by Maximizing the Number of Stacking Pairs. Samuel Ieong, Ming-Yang Kao, Tak-Wah Lam, Wing-kin Sung, Siu-Ming Yiu. J. Comp. Bio. 10(6): 981-995. 2003. [pdf]
    • Conference version appeared in BIBE 2001

Footnotes:
1. The prize is awarded to the senior majoring in the natural sciences or mathematics who ranks the highest in scholarship.
2. Awarded to the graduating Senior majoring in Computer Science who, in the judgment of the Computer Science Faculty, ranks highest in scholarship.
3. Awarded to a graduating Economics major with an outstanding course record in all courses taken in Yale College during the first seven terms.

 

www.stanford.edu/~sieong/cv.html
Last updated Monday, July 14, 2008