Thomas Lawlor Griffiths

Similar documents
tom

MABEL ABRAHAM. 710 Uris Hall Broadway mabelabraham.com New York, New York Updated January 2017 EMPLOYMENT

Chapter 10 APPLYING TOPIC MODELING TO FORENSIC DATA. 1. Introduction. Alta de Waal, Jacobus Venter and Etienne Barnard

Susanna M Donaldson Curriculum Vitae

University of Southern California Hayward R. Alker Postdoctoral Fellow, Center for International Studies,

Welcome to. ECML/PKDD 2004 Community meeting

ELLEN E. ENGEL. Stanford University, Graduate School of Business, Ph.D. - Accounting, 1997.

Probabilistic Latent Semantic Analysis

Curriculum Vitae James J. Cummings

Erin M. Evans PhD Candidate Department of Sociology University of California, Irvine

A Model of Knower-Level Behavior in Number Concept Development

Massachusetts Institute of Technology Tel: Massachusetts Avenue Room 32-D558 MA 02139

ERIN A. HASHIMOTO-MARTELL EDUCATION

Heather Malin Center on Adolescence Stanford Graduate School of Education 505 Lasuen Mall Stanford, CA 94305

Associate Professor (with tenure) University of California, Davis, Agricultural and Resource Economics

EDELINA M. BURCIAGA 3151 Social Science Plaza Irvine, CA

Stephanie Ann Siler. PERSONAL INFORMATION Senior Research Scientist; Department of Psychology, Carnegie Mellon University

2016 Match List. Residency Program Distribution by Specialty. Anesthesiology. Barnes-Jewish Hospital, St. Louis MO

Module 12. Machine Learning. Version 2 CSE IIT, Kharagpur

San Diego State University, 2002 M.A., Communication Studies: Interpersonal Communication Emphasis: Social influence

Current Position: Associate Professor, Department of Economics, Georgetown University, August 2007-Present Past Employment:

John Joseph Strategy Area Paul Merage School of Business University of California Irvine Irvine, CA (cell)

2017- Part-Time Professor Department of Political Science, Concordia University, Montréal, Canada

JOSHUA GERALD LEPREE

FEIRONG YUAN, PH.D. Updated: April 15, 2016

Rebecca McLain Hodges

We are strong in research and particularly noted in software engineering, information security and privacy, and humane gaming.

LEN HIGHTOWER, Ph.D.

Curriculum Vitae FARES FRAIJ, Ph.D. Lecturer

CSL465/603 - Machine Learning

Why Do They Fail? An Experimental Assessment of the Role of Reputation and Effort in the Public s Response to Foreign Policy Failures.

Albert (Yan) Wang. Flow-induced Trading Pressure and Corporate Investment (with Xiaoxia Lou), Forthcoming at

Resume. Christine Ann Loucks Telephone: (208) (work)

MIAO WANG. Articles in Refereed Journals and Book Volumes. Department of Economics Marquette University 606 N. 13 th Street Milwaukee, WI 53233

Rule Learning With Negation: Issues Regarding Effectiveness

Experts Retrieval with Multiword-Enhanced Author Topic Model

ALYSON L. YOUNG ǀ CURRICULUM VITAE

Hongyan Ma. University of California, Los Angeles

MICHAEL A. TALLMAN Curriculum Vitae

Curriculum Vitae JOHANNA A. SOLOMON, PhD

Go fishing! Responsibility judgments when cooperation breaks down

Knowledge-Based - Systems

The College of New Jersey Department of Chemistry. Overview- 2009

Curriculum Vitae. Sara C. Steele, Ph.D, CCC-SLP 253 McGannon Hall 3750 Lindell Blvd., St. Louis, MO Tel:

Xinyu Tang. Education. Research Interests. Honors and Awards. Professional Experience

ACADEMIC APPOINTMENTS Assistant Professor, New York University, Department of Anthropology and the Religious Studies Program, September 2015-Present

Shintaro Yamaguchi. Educational Background. Current Status at McMaster. Professional Organizations. Employment History

Mining Topic-level Opinion Influence in Microblog

JAIMIE NICOLE MORSE Curriculum Vitae

Python Machine Learning

Washington University, St. Louis (314)

Wenguang Sun CAREER Award. National Science Foundation

Marialena Rivera Texas State University 601 University Dr., ASB South 324 San Marcos, TX Office phone:

Assignment 1: Predicting Amazon Review Ratings

CURRICULUM VITAE OF MARIE-LOUISE VIERØ

System Implementation for SemEval-2017 Task 4 Subtask A Based on Interpolated Deep Neural Networks

Thomas W.M. Vossen. EDUCATION University of Maryland at College Park, College Park, MD December 2002 Doctor of Philosophy, Business and Management

Ph.D in Advance Machine Learning (computer science) PhD submitted, degree to be awarded on convocation, sept B.Tech in Computer science and

Dr. Adam Kavon Ghazi-Tehrani

ROBERT M. FULLER. Ph.D. Indiana University, Kelley School of Business, June 2003 Major: Management Information Systems Minor: Organizational Behavior

SHARIF F. KHAN. June 16, 2015

Charity Cayton 3921A Granada Dr, Winterville, NC Phone: (336) ,

Introduction to Ensemble Learning Featuring Successes in the Netflix Prize Competition

stateorvalue to each variable in a given set. We use p(x = xjy = y) (or p(xjy) as a shorthand) to denote the probability that X = x given Y = y. We al

Semi-supervised methods of text processing, and an application to medical concept extraction. Yacine Jernite Text-as-Data series September 17.

CURRICULUM VITAE. Jose A. Torres

Machine Learning from Garden Path Sentences: The Application of Computational Linguistics

Automatic Discretization of Actions and States in Monte-Carlo Tree Search

Education. American Speech-Language Hearing Association: Certificate of Clinical Competence in Speech- Language Pathology

FY year and 3-year Cohort Default Rates by State and Level and Control of Institution

Business Students. AACSB Accredited Business Programs

MASTER OF SCIENCE (M.S.) MAJOR IN COMPUTER SCIENCE

James H. Walther, Ed.D.

Anatomy and Physiology. Astronomy. Boomilever. Bungee Drop

Knowledge Elicitation Tool Classification. Janet E. Burge. Artificial Intelligence Research Group. Worcester Polytechnic Institute

medicaid and the How will the Medicaid Expansion for Adults Impact Eligibility and Coverage? Key Findings in Brief

Marissa Martino Golden

Room: Office Hours: T 9:00-12:00. Seminar: Comparative Qualitative and Mixed Methods

Language Acquisition Fall 2010/Winter Lexical Categories. Afra Alishahi, Heiner Drenhaus

Jon N. Kerr, PhD, CPA August 2017

Building Bridges Globally

Unsupervised Learning of Word Semantic Embedding using the Deep Structured Semantic Model

Guide to the Program in Comparative Culture Records, University of California, Irvine AS.014

B.A., Amherst College, Women s and Gender Studies, Magna Cum Laude (2001)

11:00 am Robotics and the Law: An American Perspective Prof. Ryan Calo, University of Washington School of Law

English (native), German (fair/good, I am one year away from speaking at the classroom level), French (written).

Agent-Based Software Engineering

UNIVERSITY OF CALIFORNIA SANTA CRUZ TOWARDS A UNIVERSAL PARAMETRIC PLAYER MODEL

Top US Tech Talent for the Top China Tech Company

Rosalind S. Chou Georgia State University Department of Sociology

Word learning as Bayesian inference

Nicole M. Rosa, PhD. Department of Psychology Worcester State University 486 Chandler Street Worcester, MA

Knowledge based expert systems D H A N A N J A Y K A L B A N D E

Richard C. Schubert Curriculum Vitae

IAT 888: Metacreation Machines endowed with creative behavior. Philippe Pasquier Office 565 (floor 14)

Curriculum Vitae IMAD A. ELHAJ

Relating Math to the Real World: A Study of Platonic Solids and Tessellations

Rule Learning with Negation: Issues Regarding Effectiveness

Curriculum Vitae Sheila Gillespie Roth Address: 224 South Homewood Avenue Pittsburgh, Pennsylvania Telephone: (412)

Rule discovery in Web-based educational systems using Grammar-Based Genetic Programming

Transcription:

1 CURRICULUM VITAE THOMAS L. GRIFFITHS PERSONAL DETAILS Name: Electronic mail: Webpage: Telephone: Physical mail: Thomas Lawlor Griffiths gruffydd@psych.stanford.edu http://www-psych.stanford.edu/~gruffydd 617 764 2538 (Home) 29A Windsor Rd Somerville, MA 02144 PROFESSIONAL POSITIONS January, 2005- Assistant Professor Department of Cognitive and Linguistic Sciences Brown University EDUCATION Ph.D. in Psychology, Stanford University, January 2005 Dissertation title: Causes, coincidences, and theories Exchange scholar, Brain and Cognitive Sciences Department and Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 2002-2004 M.S. in Statistics, Stanford University, 2002 M.A. in Psychology, Stanford University, 2002 B.A. (Honours) in Psychology, University of Western Australia, 1998 AWARDS 2004 Stanford University Lieberman Fellowship for academic leadership (declined) Honorable mention for best student paper, Annual Conference of the Cognitive Science Society 2003 Best student paper prize, natural systems (cognitive science), NIPS conference Best student paper prize, synthetic systems (machine learning), NIPS conference 2002 Stanford University Centennial Teaching Assistant Award Department of Psychology Distinguished Teaching Award 1999 Stanford Graduate Fellowship (3 years of graduate funding) 1998 Hackett Studentship (2 years of graduate funding) University of Western Australia J A Wood Prize (best student in the Faculties of Arts, Law, and Economics)

2 PUBLICATION LIST JOURNAL ARTICLES 1. Lewandowsky, S., Kalish, M., & Griffiths, T.L. (2000). Competing strategies in categorization: Expediency and resistance to knowledge restructuring. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26, 1666-1684. 2. Tenenbaum, J.B., & Griffiths, T.L. (2001). Generalization, similarity, and Bayesian inference. Behavioral and Brain Sciences, 24, 629-641. (target article) 3. Tenenbaum, J.B., & Griffiths, T.L. (2001). Some specifics about generalization. Behavioral and Brain Sciences, 24, 772-778. (response to commentaries) 4. Griffiths, T.L., & Kalish, M.I. (2002). A multidimensional scaling approach to mental multiplication. Memory and Cognition, 30, 97-106. 5. Griffiths, T.L., & Steyvers, M. (2004). Finding scientific topics. Proceedings of the National Academy of Sciences, 101, 5228-5235. 6. Griffiths, T.L., & Tenenbaum, J. B. (in press). Elemental causal induction. Cognitive Psychology. REFEREED CONFERENCE PAPERS 7. Griffiths, T.L., & Tenenbaum, J.B. (2000). Teacakes, trains, toxins, and taxicabs: A Bayesian account of predicting the future. Proceedings of the 22nd Annual Conference of the Cognitive Science Society. 8. Griffiths, T.L., & Tenenbaum, J.B. (2001). Randomness and coincidences: Reconciling intuition and probability theory. Proceedings of the 23rd Annual Conference of the Cognitive Science Society. 9. Tenenbaum, J.B., & Griffiths, T.L. (2001). Structure learning in human causal induction. Advances in Neural Information Processing Systems 13. 10. Tenenbaum, J.B., & Griffiths, T.L. (2001). The rational basis of representativeness. Proceedings of the 23rd Annual Conference of the Cognitive Science Society. 11. Griffiths, T.L., & Tenenbaum, J.B. (2002). Using vocabulary knowledge in Bayesian multinomial estimation. Advances in Neural Information Processing Systems 14. 12. Griffiths, T.L., & Steyvers, M. (2002). A probabilistic approach to semantic representation. Proceedings of the 24th Annual Conference of the Cognitive Science Society. 13. Griffiths, T.L., & Tenenbaum, J.B. (2003). Probability, algorithmic complexity, and subjective randomness. Proceedings of the 25th Annual Conference of the Cognitive Science Society. 14. Danks, D., Griffiths, T.L., & Tenenbaum, J.B. (2003). Dynamical causal learning. Advances in Neural Information Processing Systems 15. 15. Griffiths, T.L., & Steyvers, M. (2003). Prediction and semantic association. Advances

3 in Neural Information Processing Systems 15. 16. Tenenbaum, J.B., & Griffiths, T.L. (2003). Theory-based causal inference. Advances in Neural Information Processing Systems 15. 17. Griffiths, T.L., & Tenenbaum, J.B. (2004). From algorithmic to subjective randomness. Advances in Neural Information Processing Systems 16. (winner of NIPS 2003 best student paper prize natural systems) 18. Blei, D.M., Griffiths, T.L., Jordan, M.I., & Tenenbaum, J.B. (2004) Hierarchical topic models and the nested Chinese restaurant process. Advances in Neural Information Processing Systems 16. (winner of NIPS 2003 best student paper prize synthetic systems) 19. Kemp, C. S., Griffiths, T.L., Stromsten, S., & Tenenbaum, J.B. (2004) Semi-supervised learning with trees. Advances in Neural Information Processing Systems 16. 20. Steyvers, M., Smyth, P., Rosen-Zvi, M., & Griffiths, T. (2004). Probabilistic Author- Topic models for information discovery. The Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 21. Rosen-Zvi, M., Griffiths, T., Steyvers, M., & Smyth, P. (2004). The Author-Topic model for authors and documents. Proceedings of the 20th Conference on Uncertainty in Artificial Intelligence. 22. Griffiths, T.L., Baraff, E.R., & Tenenbaum, J.B. (2004). Using physical theories to infer hidden causes. Proceedings of the 26th Annual Conference of the Cognitive Science Society. (honorable mention for Marr prize for best student paper) 23. Griffiths, T.L., Steyvers, M., Blei, D.M., & Tenenbaum, J.B. (in press) Integrating topics and syntax. Advances in Neural Information Processing Systems 17. 24. Iwata, T., Saito, K., Ueda, N., Stromsten, S., Griffiths, T., Tenenbaum, J. (in press). Parametric embedding for class visualization. Advances in Neural Information Processing Systems 17. BOOK CHAPTERS 25. Steyvers, M., & Griffiths, T.L. (under review). Probabilistic topic models. 26. Tenenbaum, J.B., & Griffiths, T.L. (under review). The role of intuitive theories in causal learning and reasoning. TECHNICAL REPORTS 27. Kemp, C., Griffiths, T.L., & Tenenbaum, J.B. (2004). Discovering latent classes in relational data. AI Memo 2004-019. MANUSCRIPTS IN PREPARATION 28. Griffiths, T.L., & Tenenbaum, J.B. Theory-based causal induction. 29. Griffiths, T.L., & Ghahramani, Z. Priors for infinite sparse representations.

4 30. Navarro, D.J., Griffiths, T.L., & Steyvers, M. A nonparametric Bayesian approach to model order selection. (invited submission to Journal of Mathematical Psychology) 31. Griffiths, T.L., Steyvers, M., & Tenenbaum, J.B. Combining structure and statistics in models of word meaning. INVITED TALKS 2004 Hot Topics workshop on Visualization and Analysis of High Dimensional Data, Mathematical Sciences Research Institute, Berkeley, CA Department of Psychology, Harvard University, Cambridge, MA. Gatsby Computational Neuroscience Unit, University College London. Department of Cognitive and Linguistic Sciences, Brown University, Providence, RI. 2003 Computer Science Department, University of California, Berkeley, CA. Psychology Department, University of California, Irvine, CA. Sackler Colloquium on Mapping knowledge domains, National Academy of Sciences, Irvine, CA. NTT Communication Sciences Laboratory, Osaka, Japan. 2002 Psychology Department, University of Colorado, Boulder, CO. Psychology Department, Indiana University, Bloomington, IN. Applied statistics workshop, Center for Behavioral Research in the Social Sciences, Harvard University, Cambridge, MA. 2001 Psychology Department, University of California, San Diego, CA. CONFERENCE PRESENTATIONS 2004 Workshop on Probabilistic models of categorization, Neural Information Processing Systems conference, Whistler, BC. (talk) Neural Information Processing Systems conference, Vancouver, BC. (spotlight) Annual Cape Cod conference on Monte Carlo Methods, Cambridge, MA. (poster) Society for Philosophy and Psychology conference, Barcelona, Spain. (talk) Annual Summer Interdisciplinary Conference, Cavalese, Italy. (talk) 26th Annual Conference of the Cognitive Science Society, Chicago, IL. (talk) 2003 Workshop on Syntax, Semantics, and Statistics, Neural Information Processing Systems conference, Whistler, BC. (talk) Neural Information Processing Systems conference, Vancouver, BC. (talk) 25th Annual Conference of the Cognitive Science Society, Boston, MA. (poster) DIMACS workshop on Complexity and inference, Rutgers University, Piscataway, NJ. (talk)

5 2002 Neural Information Processing Systems conference, Vancouver, BC. (spotlight) 24th Annual Conference of the Cognitive Science Society, Fairfax, VA. (talk) 2001 23rd Annual Conference of the Cognitive Science Society, Edinburgh, Scotland. (talk) Neural Information Processing Systems conference, Denver, CO. (poster) Workshop on Causal learning and inference in humans and machines, Neural Information Processing Systems conference, Denver, CO. (talk) 2000 22nd Annual Conference of the Cognitive Science Society, Philadelphia, PA. (talk) Neural Information Processing Systems conference, Denver, CO. (poster) PROFESSIONAL ACTIVITIES 2005 Member of tutorial organizing committee, Annual Conference of the Cognitive Science Society 2004 Co-presenter, tutorial on Bayesian models of inductive learning, Annual Conference of the Cognitive Science Society 2003 Co-organizer, workshop on Syntax, semantics, and statistics, NIPS 2003 2001 Co-organizer, workshop on Causal learning and inference in humans and machines, NIPS 2001 Reviewing for Cognitive Science, Psychonomic Bulletin and Review, Journal of Machine Learning Research, Psychological Science, Cognition, Journal of Mathematical Psychology, the conference of the Cognitive Science society, the Artificial Intelligence and Statistics conference, and the Neural Information Processing Systems conference. TEACHING 2002 Psychology 290: Graduate research methods (coordinator, lecturer) 2001 Psychology 290: Graduate research methods (teaching assistant) Psychology 253: Graduate statistics (teaching assistant) Psychology 1: Introduction to psychology (teaching assistant) 2000 Psychology 253: Graduate statistics (teaching assistant) Psychology 40: Cognitive psychology (guest lecturer)

6 REFERENCES Gordon Bower Department of Psychology Jordan Hall, Building 420 Stanford University Stanford, CA 94305-2130 gordon@psych.stanford.edu Ewart Thomas Department of Psychology Jordan Hall, Building 420 Stanford University Stanford, CA 94305-2130 thomas@psych.stanford.edu Richard Shiffrin Department of Psychology Indiana University 1101 E 10th Street Bloomington, IN 47405 shiffrin@indiana.edu Joshua Tenenbaum NE20-449 Department of Brain and Cognitive Sciences Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge, MA 02139-4307 jbt@mit.edu