Joshua M. Lewis

(I am now an engineer at Ayasdi and you can reach me at first four letters of my first name@ayasdi.com.)

Joshua is a postdoctoral scholar in the Natural Computation Lab (PI Virginia de Sa) at the University of California, San Diego Cognitive Science department. His research investigates the role of human perception and insight in the data analysis process, and attempts to improve how researchers interact with and understand machine learning algorithms. His research approach combines psychophysical studies of both novice and expert data analysts with new algorithms and software tools that give human researchers an intuitive view into the behavior of cutting-edge machine learning techniques. Such intuitions will lead to better research and better utilization of machine learning techniques in unrelated fields.

Joshua's other academic interests include infant visual development, human computation, the cognitive benefits and demands of video gaming, spatial cognition, and multi-modal stimulus processing.

Check out my software project for exploratory data analysis with unsupervised machine learning, Divvy.

Joshua Lewis

Contact

josh@cogsci.ucsd.edu

Education

Ph.D. in Cognitive Science Mar 2011
UCSD, San Diego, CA

M.S. in Cognitive Science Dec 2008
GPA: 3.96
UCSD, San Diego, CA

B.A. in Cognitive Science & B.A. in Philosophy May 2006
GPA: 3.77
Pomona College, Claremont, CA

Publications

Joshua M. Lewis, Laurens van der Maaten, Virginia de Sa (2013). Divvy: Fast and Intuitive Exploratory Data Analysis. Journal of Machine Learning Research 14(Oct):3159-3163.

Joshua M. Lewis, Laurens van der Maaten, Virginia de Sa (2012). A Behavioral Investigation of Dimensionality Reduction. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society, pp. 671-676. (link)

Joshua M. Lewis, Virginia de Sa (2012). Learning Cluster Analysis through Experience. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society, pp. 1876-1881. (link)

Joshua M. Lewis, Margareta Ackerman, Virginia de Sa (2012). Human Cluster Evaluation and Formal Quality Measures: A Comparative Study. In N. Miyake, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society, pp. 1870-1875. (link)

Joshua M. Lewis, Patrick Trinh, David Kirsh (2011). A Corpus Analysis of Strategy Video Game Play in Starcraft: Brood War. In L. Carlson, C. Hölscher, & T. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society, pp. 687-692. (link)

Joshua M. Lewis, Gedeon O. Deák, Hector Jasso, Jochen Triesch (2010). Building a Model of Infant Social Interaction. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society, pp. 278-283. (link)

Joshua M. Lewis, Adam S. Fouse, Virginia R. de Sa (2010). Cross-Modal Influence on Binocular Rivalry. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society, pp. 718-723. (link)

Virginia R. de Sa, Patrick M. Gallagher, Joshua M. Lewis, Vicente L. Malave (2009). Multi-view kernel construction. Machine Learning DOI 10.1007/s10994-009-5157-z. (link)

Joshua M. Lewis (2009). Finding a Better k: A psychophysical investigation of clustering. In N.A. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society, pp. 315-320. (link)

Joshua M. Lewis, Pincelli M. Hull, Kilian Q. Weinberger, Lawrence K. Saul. (2008). Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data. Proceedings of the Seventh International Conference on Machine Learning and Applications, pp. 388-395. (link)

Douglas S. Blank, Joshua M. Lewis and James B. Marshall. (2005). The multiple roles of anticipation in developmental robotics. Proceedings of the 2005 AAAI Fall Symposium on Anticipatory Cognitive Embodied Systems, pp. 8-14. (link)

Talks

Joshua M. Lewis, Laurens van der Maaten, Virginia R. de Sa (2010). A Psychophysical Investigation of Dimensionality Reduction. Neural Information Processing Systems 24, Challenges of Data Visualization workshop. (workshop page)

Joshua M. Lewis, Gedeon O. Deák, Hector Jasso, Jochen Triesch (2010). Building a Model of Infant Social Interaction. 32nd Annual Conference of the Cognitive Science Society.

Joshua M. Lewis (2009). Finding a Better k: A psychophysical investigation of clustering. Neural Information Processing Systems 23, Clustering: Science or Art? Towards Principled Approaches workshop. (video, also presented at CogSci 2009)

Joshua M. Lewis, Gedeon O. Deák, Jochen Triesch (2009). A Virtual Environment For Simulating Infant-Parent Social Behaviors and Testing Infant Learning Theories. Society for Research in Child Development (SRCD) Biennial Meeting.

Douglas S. Blank, Joshua M. Lewis and James B. Marshall. (2005). The multiple roles of anticipation in developmental robotics. AAAI Fall Symposium on Anticipatory Cognitive Embodied Systems.

Posters

Joshua M. Lewis, Patrick Trinh, David Kirsh (2011). A Corpus Analysis of Strategy Video Game Play in Starcraft: Brood War. 33rd Annual Conference of the Cognitive Science Society.

Joshua M. Lewis, Adam S. Fouse, Virginia R. de Sa (2010). Cross-Modal Influence on Binocular Rivalry. 32nd Annual Conference of the Cognitive Science Society.

Joshua M. Lewis (2009). Software, Psychophysics and Selection: Towards Anthropocentric Data Analysis. Neural Information Processing Systems 23, ADA-IML workshop.

Joshua M. Lewis (2008). Finding a Better k: A psychophysical investigation of clustering. Neural Information Processing Systems 22, Machine learning meets human learning workshop.

Anna M. Krasno, Gedeon O. Deák, Hector Jasso, Joshua M. Lewis, Jochen Triesch (2007). Watch the Hands: Do Infants Learn Gaze-Following From Parents' Object Manipulation? Society for Research in Child Development (SRCD) Biennial Meeting.

Fellowships and Support

NSF Grant #SES-0963071, Divvy: Robust and Interactive Cluster Analysis (PI Virginia de Sa). UCSD 2010 - present

NSF IGERT Fellow, Grant #DGE-0333451, Vision and Learning in Humans and Machines (PIs Garrison Cottrell and Virginia de Sa). UCSD 2007 - 2009

Summer Undergraduate Research Program. Pomona College May 2005 - August 2005

Teaching

Psychophysics lab instructor for incoming graduate students 2007 - 2010

FA 2009: TA for COGS 109, Modeling and Data Analysis

FA 2008: TA for COGS 109, Modeling and Data Analysis

FA 2007: TA for COGS 101A, Sensation and Perception

SP 2007: TA for COGS 101C, Language

FA 2006: TA for COGS 101A, Sensation and Perception

Peer Review

CogSci 2010, Reviewer

CogSci 2009, Reviewer

Membership and Service

Member of the Cognitive Science Society 2009 - 2011

Cognitive Science Department Social Coordinator 2008 - 2010 Fall Quarters

Professional Experience

Contractor, Keynote Systems Inc. (www.keynote.com) San Mateo, CA 2002 - 2006 Architected and implemented front end (>10,000 lines of code) of web based performance reporting and analysis system used by several Fortune 500 companies, including Microsoft, Yahoo, American Express and J.P. Morgan Chase & Co.

Honors and Awards

2010 The Dean's Social Science Research Travel Award ($250)

2009 Cognitive Science Society Travel Award ($500, awarded to the top 20 student papers at CogSci 2009)

2009 The Dean's Social Science Research Travel Award ($500)

2008 Glushko Merit Award ($2,000)

2008 Excellence in Teaching Award ($75, COGS 101A)

2007 Superior Teaching Award ($25, COGS 101C)

2006 Pomona College Scholar, Graduated Cum Laude