Anna Osepayshvili

March 2010

CONTACT INFORMATION

http://annaosp.com

EDUCATION

	PhD, Information		Jan. 2009		University of Michigan, Ann Arbor, MI, USA
					School of Information
	MA, Economics		Sep. 2006		University of Michigan, Ann Arbor, MI, USA
					Department of Economics
	BS, Economics		June 2002		Moscow State Linguistics University, Moscow, Russia
	cum laude				Department of World Economics

PHD DISSERTATION

Three Papers on Strategic Decision Making in Digitally Mediated Markets, 2009. Thesis committee: Jeffrey K. MacKie-Mason (chair), Yan Chen, Michael P. Wellman, and Rahul Sami.

ACADEMIC POSITIONS AND WORK EXPERIENCE

Palo Alto Research Center (PARC), Palo Alto, CA                     October 2009-present
Visiting Researcher, Embedded Reasoning Area.
Research in electricity markets (demand response, ``smart grid'' technologies and market design).

Adecco USA, Inc., San Jose, CA                     September 2009-present
Software Operations Specialist,
On a temporary part-time assignment at Google Inc., Mountain View, CA.

Stanford University, Palo Alto, CA                     May 2009-September 2009
Visiting Scholar, Management Science and Engineering Department.
Research in learning in games, computational game theory, and electricity markets.

University of Michigan, Ann Arbor, MI                 September 2002-December 2008
Graduate Student Research Assistant, School of Information.
Worked on dissertation-related projects.

University of Michigan, Ann Arbor, MI                 April-August 2008
Research Assistant to Program Manager,
Research Experience for Undergraduates Site, School of Information.
Co-supervised 9 undergraduate researchers and their 6 graduate-student mentors, co-organized weekly research seminars, was in charge of providing IT support and arranging office space for the participants.

University of Michigan, Ann Arbor, MI                 January-April 2005, 2006, and 2007
Graduate Student Instructor, School of Information.
Co-taught a Master's foundation class integrating microeconomic theory, behavioral economics, decision theory, and psychology. Responsibilities included preparing and leading weekly discussion sections, writing and grading weekly homework assignments and exams, and holding weekly office hours.

GRANTS, HONORS, AND AWARDS

2008 Rackham Spring/Summer Research Grant, joint with Yan Chen, April 2008.

School of Information Departmental Fellowship, Fall 2002-Fall 2004, Fall 2007.

The SI Outstanding Ph.D. Student Award, May 2006.

Achievement of Excellence Award, MSLU Economics Association, September 2000.

SKILLS

Quantitative/statistical analysis (dissertation work, graduate-level statistics and econometrics classes, doctoral-level industrial-organization class);

Computer simulation, numeric estimation, and agent-based modelling (dissertation work and doctoral-level coursework);

Mathematical and game-theoretic modelling (dissertation work and doctoral-level coursework);

Electronic commerce (doctoral-level course);

Contract theory and industrial organization (doctoral-level coursework);

Human-subject experiments (designing and conducting: ch. 3 of dissertation and doctoral-level coursework);

Economic analysis of computer-assisted market mechanisms (dissertation, ch. 1-2; publication in the B.E. Journal of Theoretical Economics);

Design and analysis of trading agents (dissertation, ch. 1-2; BEJTE);

Design and analysis of automated pricing policies for computationally complex auction/market mechanisms (dissertation, ch. 1-2; BEJTE);

Strong analytical skills, ability to solve abstract problems (doctoral-level training);

Strong written and communication skills (research publications and presentations; teaching);

Academic instruction (worked as Graduate Student Instructor for 3 semesters);

Qualitative analysis (doctoral-level course on research methods);

Social-network analysis and visualization (doctoral-level course and course project);

Ability to work in multidisciplinary environments and communicate technical material to mixed audiences (member of the Integrative Graduate Education and Research Traineeship Program; taught technical material to students of human-computer interaction, library science, and information economics; presented in regular seminars to audiences with business, economic, legal, and computer-science backgrounds);

Leadership skills (co-supervised 15 students and mentors during a summer program for undergraduate researchers).

PUBLICATIONS

Bidding Strategies for Simultaneous Ascending Auctions, Michael P. Wellman, Anna Osepayshvili, Jeffrey K. MacKie-Mason, and Daniel M. Reeves, The B.E. Journal of Theoretical Economics, Vol. 8, No. 1, Article 27, December 2008.

Self-Confirming Price Prediction for Bidding in Simultaneous Ascending Auctions, Anna V. Osepayshvili, Michael P. Wellman, Daniel M. Reeves, and Jeffrey K. MacKie-Mason, In Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence (UAI 2005), July 2005.

Price Prediction Strategies for Market-Based Scheduling, Jeffrey K. MacKie-Mason, Anna V. Osepayshvili, Daniel M. Reeves and Micheal P. Wellman, In Proceedings of the 18th International Conference on Automated Planning and Scheduling (ICAPS-2004), June 2004.

Exploring Bidding Strategies for Market-Based Scheduling, Daniel M. Reeves, Michael P. Wellman, Jeffrey K. MacKie-Mason, and Anna V. Osepayshvili, Decision Support Systems, Vol. 39, No. 1, pp. 67-85, March 2005.

WORKING PAPERS

Learning Bayesian Nash Equilibrium: An Experimental Study, joint work with Yan Chen.

Competition Between Firms that Bundle Information Goods, joint work with Scott A. Fay and Jeffrey K. MacKie-Mason.

UNPUBLISHED MANUSCRIPTS

A Networks Approach to Understanding Shilling on EBay, joint work with Tapan Khopkar, supervised by Lada Adamic. Final project paper for the course Networks: Theory and Application, August 2007.

Network Externalities: An Experimental Study, supervised by Yan Chen. Final project paper for the course Experimental Methods, December 2004.

PRESENTATIONS

Learning Bayesian Nash Equilibrium: An Experimental Study, presentation of joint work with Yan Chen, The FIRST series of invited talks from SI graduate students, School of Information, University of Michigan, April 2008.

Learning Bayesian Nash Equilibrium: An Experimental Study, presentation of joint work with Yan Chen, STIET Research Workshop, Wayne State University, November 2007.

Augmenting Strategic Decisions of Human Participants in Distributed Resource Allocation Mechanisms, The 2006 i-Conference Doctoral Colloquium, University of Michigan, October 2006.

Self-Confirming Price Prediction in Simultaneous Ascending Auctions, poster presentation of joint work with Jeffrey K. MacKie-Mason, Daniel M. Reeves and Michael P. Wellman, The 2006 NYU/CeDER Summer Workshop on the Economics of Information Technology, New York University, June 2006.

Demand Reduction in Simultaneous Ascending Auctions Selling Homogeneous Goods, presentation of joint work with Jeffrey K. MacKie-Mason, Daniel M. Reeves and Michael P. Wellman, STIET Research Workshop, University of Michigan, May 2006.

Price Prediction Strategies for Market-Based Scheduling, presentation of joint work with Jeffrey K. MacKie-Mason, Daniel M. Reeves and Michael P. Wellman, STIET Research Workshop, University of Michigan, October 2003.

Foreign Investment Projects in Russia, Anna Osepayshvili. Presented at the Workshop on Reforms in Russia and Management Problems, Moscow State Linguistics University, Moscow, 2001.

COMPUTER/ PROGRAMMING SKILLS

C++ (e.g., wrote an auction simulator and other software for dissertation research);

Unix/Linux programming (e.g., wrote Perl and Shell scrips for dissertation data analysis; used Linux systems as default OS systems for over 8 years);

Version control software (Subversion);

Symbolic and numeric mathematical programming (Mathematica, Matlab; e.g., developed design for human-subject experiment, implemented learning models and analyzed experimental data);

Statistical programming (Stata, R; used in graduate courses and for dissertation data analysis);

Experimental-economics programming (zTree; used to implement experimental software for dissertation research);

Windows OS and various applications (e.g., MS Office);

Open-source alternatives to Windows OS applications (e.g., Open Office, Emacs, LaTex/BibTeX);

Data-analysis and visualization tools for networks (Guess, basic level);

Agent-based programmable modelling (NetLogo, basic level);

Web programming (HTML and CSS, basic level: made a home page).

LANGUAGE SKILLS

Besides English:

Russian, native;

French, intermediate (5-year course sequence at the MSLU and a semester at the UM);

German, basic (2-year course sequence at the MSLU).

PROFESSIONAL SERVICE

Reviewer for Resource Allocation on Wireless Networks, 2010;

Reviewer for The Journal of Media Economics, 2009;

Reviewer for European Journal of Operational Research, 2007;

Reviewer for ACM Conference on Electronic Commerce, 2007;

Reviewer for Information Sciences, 2006;

Reviewer for Parallel Computing, 2006;

Reviewer for The Journal of Electronic Publishing, 2005.

PROFESSIONAL AFFILIATIONS

Incentive-Centered Design (ICD/STIET), IGERT Doctoral Training Program, University of Michigan, Ann Arbor, MI, Member (January 2005-December 2008).

Moscow State Linguistics University Student Economics Association, Moscow, Russia, Chair (September 1999-May 2002).

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