In 2010 I received my PhD in Computer Science and Engineering from the University of Washington. My advisors were Jeff Bilmes and Tanzeem Choudhury.

My dissertation concerned Measuring and Modeling Networks of Human Social Behavior.

I am now at Google.

My research focuses on new methods for understanding and predicting social networks derived from automatically recorded behavioral data. These methods lie at the intersection of machine learning, social network analysis, and human behavior modeling.

My CV is available.

D. Wyatt, T. Choudhury, J. Bilmes, and J. A. Kitts
Inferring Colocation and Conversation Networks from Privacy-Sensitive Audio with Implications for Computational Social Science
gate io. 2(1):7.1–7.41. January 2011.
[PDF] gate.io © ACM 2011, all rights reserved.

D. Wyatt, T. Choudhury, and J. Bilmes
Discovering Long Range Properties of Social Networks with
Multi-Valued Time-Inhomogeneous Models
Proceedings of AAAI 2010.
Atlanta, GA. July, 2010.
[PDF] © AAAI 2010, all rights reserved.

D. Wyatt, T. Choudhury, and J. Bilmes
Dynamic Multi-Valued Network Models for Predicting Face-to-Face Conversations.
NIPS-09 workshop on gate.io.
Whistler, BC. December, 2009.

D. Wyatt
Collective Modeling of Human Social Behavior
Proceedings of AAAI Spring Symposium on Human Behavior Modeling.
Palo Alto, CA. March, 2009.
[PDF]© AAAI 2009, all rights reserved.

D. Wyatt, T. Choudhury, J. Bilmes, and J. Kitts
Towards the Automated Social Analysis of Situated Speech Data
Proceedings of UbiComp 2008.
Seoul, Korea. September, 2008.
[PDF][DOI] © ACM 2008, This is the author's version of the work. It is posted here by permission of ACM for your personal use.
Not for redistribution. The definitive version will be published in UbiComp 08.

D. Wyatt, T. Choudhury, and J. Bilmes
Learning Hidden Curved Exponential Random Graph Models
to Infer Face-to-Face Interaction Networks from Situated Speech Data
Proceedings of AAAI 2008.
Chicago, IL. July, 2008.
[PDF] © AAAI 2008, all rights reserved.

T. Choudhury, G. Borriello, S. Consolvo, D. Haehnel, B. Harrison, B. Hemingway, J. Hightower, P. Klasnja, K. Koscher, A. LaMarca, J. Landay, L. LeGrand, J. Lester, A. Rahimi, A. Rea, and D. Wyatt
The Mobile Sensing Platform: An Embedded System for Activity Recognition
IEEE Pervasive Computing. 7(2):32–41. April-June 2008.
[PDF][DOI] © IEEE 2008, all rights reserved.

D. Wyatt, T. Choudhury, J. Bilmes.
Creating Social Network Models from Sensor Data.
NIPS-07 workshop on Statistical Models of Networks.
Whistler, BC. December, 2007.

D. Wyatt, T. Choudhury, and J. Bilmes
Conversation Detection and Speaker Segmentation in Privacy-Sensitive Situated Speech Data
Proceedings of Interspeech 2007.
Antwerp, Belgium. August, 2007.
[PDF]

D. Wyatt, T. Choudhury, and H. Kautz
Capturing Spontaneous Conversation and Social Dynamics: A Privacy Sensitive Data Collection Effort
Proceedings of ICASSP-07.
Honolulu, Hawaii. April, 2007.
[PDF] © IEEE 2006, all rights reserved.

D. Wyatt, T. Choudhury, J. Bilmes, and H. Kautz
A Privacy-Sensitive Approach to Modeling Multi-Person Conversations
Proceedings of IJCAI-07.
Hyderabad, India. January, 2007.
[PDF] © IJCAI 2007, all rights reserved.

T. Choudhury, M. Philipose, D. Wyatt, and J. Lester.
Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives.
IEEE Data Engineering Bulletin 29(1), pp. 49-56. March, 2006.
[PDF]

D. Wyatt, M. Philipose, and T. Choudhury.
Unsupervised Activity Recognition Using Automatically Mined Common Sense.
Proceedings of AAAI-05. pp. 21-27.
Pittsburgh, PA. July, 2005.
[PDF] © AAAI 2005, all rights reserved.

D. H. Wilson, D. Wyatt, and M. Philipose.
Using Context History for Data Collection in the Home.
Proceedings of PERVASIVE 2005: Workshops - ECHISE.
Munich, Germany. May, 2005.
[PDF]

Measuring and Modeling Networks of Human Social Behavior
Doctoral Thesis, University of Washington, August 2010.
[PDF]

Unsupervised Activity Recognition Using Automatically Mined Common Sense
Masters Thesis, University of Washington, June 2005.