SIMON TONG

SIMON TONG

541 Del Medio Ave, Apt 319

Mountain View, CA 94040

Telephone: 650-941-9888

E-mail:

OBJECTIVE:To obtain a research oriented position in an industry-leading startup company.

EDUCATION:

1997 - 2001Stanford University, Stanford, CA

PhD, Computer Science. Specialization: Machine Learning

1999Stanford University, Stanford, CA

M.S., Computer Science

1994 - 1997University of Oxford, St. John's College, Oxford, UK.

B.A. Honours (Class I), Mathematics and Computation.

ACADEMIC HONORS:

1997 University of Oxford. Ranked joint first in year. Awarded British

Telecommunications Research and Technology Prize for Computer Science.

1995 University of Oxford. St. John's College, Casberd Scholarship.

WORK EXPERIENCE:

2001 – presentResearch Scientist, Google Inc., CA

Responsible for developing and applying sophisticated machine learning and statistical techniques to augment and improve key components of the company’s system. Currently involved with designing and implementing new algorithms to improve the quality and relevance of search results.

1997 - 2001Research Assistant, Stanford University, CA

Investigated and designed technology for extracting key patterns from data. Applications included text classification, image retrieval and molecular biology. Published and presented in numerous peer-reviewed international conferences.

SummerLead Scientist,ContactDetails Ltd, London, UK

2000Primarily responsible for creating and developing advanced datamining technology.

Within three months performed research, development and implemented a functioning machine learning system. Early stage startup required numerous other skills to be drawn upon. Assisted with front-end web development and marketing.

Autumn,Teaching Assistant, Stanford University, CA

Winter “Knowledge Representation and Reasoning under Uncertainty” and “Artificial

1998Intelligence: Principles and Techniques” graduate and advanced undergraduate level

courses.

SummersResearch Assistant, Horticulture Research International, Maidstone, UK

1995, 1996Mathematical and computational techniques for genetic linkage analysis. Computer

models for strawberry inflorescences and growth models for fungal hyphae structures.

SKILLS:

  • Artificial Intelligence and Machine Learning Experience:

Includes Bayesian Networks, Support Vector Machines, Neural Networks, Decision Trees, Information Retrieval, Decision Theory, Reinforcement Learning.

  • Computer Experience:
    Programming languages: include C++, C, Java, Fortran, Perl, HTML, WML, XML/XSL, Cascading Style Sheets, Javascript and SQL.
  • Communication Experience:
    Writing: Published technical papers in refereed journals and conferences. Appointed Chief sub-editor, Oxford Student Newspaper (readership circa 15000).

Speaking: Experienced in presenting in front of international conference audiences. Delivered university section lectures to graduate and undergraduate students.

ADDITIONAL INFORMATION:

  • Travel Experience: Lived and worked on three continents. Visited numerous countries in Europe, Asia and North America.
  • Interests: Piano, racquet sports, traveling, graphic design, reading.
  • References: On request.

PUBLICATIONS:

Refereed Journal Publications:

  • Support Vector Machine Active Learning with Applications to Text Classification. Simon Tong, Daphne Koller. Journal of Machine Learning Research, 2001.
  • Three-point linkage analysis in crosses of allogamous plant species. M.S Ridout, S. Tong, C. J. Vowden and K. R. Tobutt. Genetical Research , (1998) 72, pp. 111-121.

Refereed Conference Publications:

  • Support Vector Machine Active Learning for Image Retrieval. Simon Tong, Edward Chang. ACM Multimedia. Ottawa, Canada, 2001.
  • Active Learning for Structure in Bayesian Networks. Simon Tong, Daphne Koller. To appear in Proceedings of the International Joint Conference on Artificial Intelligence, Seattle, Washington, 2001.
  • Active Learning for Parameter Estimation in Bayesian Networks. Simon Tong, Daphne Koller. To appear in Neural Information Processing Systems. Denver, Colorado, 2001.
  • Support Vector Machine Active Learning with Applications to Text Classification. Simon Tong, Daphne Koller. Proceedings of the Seventeenth International Conference on Machine Learning. Stanford, California, 2000.
  • Restricted Bayes Optimal Classifiers. Simon Tong, Daphne Koller. Proceedings of the Seventeenth National Conference on Artificial Intelligence, Austin, Texas, 2000.

Workshop Publications:

  • Bayes Optimal Hyperplanes  Maximal Margin Hyperplanes. Simon Tong, Daphne Koller, International Joint Conference on Artificial Intelligence, Workshop on Support Vector Machines, Stockholm, Sweden 1999.