276 13th St Apt 5D
Brooklyn, NY 11215
phone: +1 (302) 566-5456
email: mizzao@gmail.com

Education

May 2015

Harvard University, Cambridge, MA
Ph.D., Computer Science (Advisor: Yiling Chen)
Dissertation: Experimental Studies of Human Behavior in Social Computing Systems

May 2012

S.M., Computer Science

May 2009

University of Pennsylvania, Philadelphia, PA
B.S.E., Computer Science, summa cum laude
B.S. in Economics (Wharton School), summa cum laude
GPA: 3.89 / 4.0 ( courses )

Positions

November 2017—Sep 2019

Research Scientist, CTRL-labs (New York, NY)

Aarhus University

July 2017—November 2017

Assistant Professor (tenure-track), Department of Management, Aarhus BSS (Aarhus, Denmark)

Microsoft Research

2015—2017

Postdoctoral Researcher, Computational Social Science (New York, NY)

Summer 2013, 2014

Research Intern, Computational Social Science (New York, NY)

Summer 2012

Research Intern, Adaptive Systems and Interaction (Redmond, WA)

Harvard University

2009—2015

Research Assistant, EconCS Group (Cambridge, MA)

Refereed Publications

Andrew Mao, Lili Dworkin, Siddharth Suri, and Duncan J. Watts. Resilient Cooperators Stabilize Long-Run Cooperation in the Finitely Repeated Prisoner’s Dilemma. Nature Communications 8:13800, 2017. [ data, source ]

Andrew Mao, Winter A. Mason, Siddharth Suri, and Duncan J. Watts. An Experimental Study of Team Size and Performance on a Complex Task. PLoS ONE 11(4):e0153048, 2016. [ data, source ]

Xi Alice Gao, Andrew Mao, Yiling Chen, and Ryan P. Adams. Trick or Treat: Putting Peer Prediction to the Test. In the 15th ACM Conference on Economics and Computation (EC 2014).

Micah Sherr, Harjot Gill, Taher Aquil Saeed, Andrew Mao, William R. Marczak, Saravana Soundararajan, Wenchao Zhou, Boon Thau Loo, and Matt Blaze. The Design and Implementation of the A3 Application-Aware Anonymity Platform. Elsevier Computer Networks 58:206-227, 2014.

Andrew Mao, Ece Kamar, Yiling Chen, Eric Horvitz, Megan E. Schwamb, Chris J. Lintott, and Arfon M. Smith. Volunteering vs. Work for Pay: Incentives and Tradeoffs in Crowdsourcing. In the 1st Conference on Crowdsourcing and Human Computation (HCOMP 2013).

Andrew Mao, Ece Kamar, and Eric Horvitz. Why Stop Now? Predicting Worker Engagement in Online Crowdsourcing. In the 1st Conference on Crowdsourcing and Human Computation (HCOMP 2013).

Andrew Mao, Ariel D. Procaccia, and Yiling Chen. Better Human Computation Through Principled Voting. In the 27th Conference on Artificial Intelligence (AAAI 2013).

Thomas Pfeiffer, Xi Alice Gao, Andrew Mao, Yiling Chen, and David G. Rand. Adaptive Information Polling and Aggregation. In the 26th Conference on Artificial Intelligence (AAAI 2012).

Micah Sherr, Andrew Mao, William R. Marczak, Wenchao Zhou, Boon Thau Loo, and Matt Blaze. A3: An Extensible Platform for Application-Aware Anonymity. In the 17th Annual Network and Distributed System Security Symposium (NDSS 2010).

Workshop Publications

Andrew Mao. Experimental Behavioral Research for Designing Human Computational Systems. In the HCOMP 2014 Doctoral Consortium.

Andrew Mao, Yiling Chen, Krzysztof Z. Gajos, Ariel D. Procaccia, David C. Parkes, and Haoqi Zhang. TurkServer: Enabling Synchronous and Longitudinal Online Experiments. In 4th Workshop on Human Computation (HCOMP 2012).

Tutorials

Neil S. Gaikwad, Sohan Dsouza, Oana Vuculescu, and Andrew Mao. Crowdcomputing and Citizen Science for Large-scale Experiments. At the 3nd International Conference on Computational Social Science (IC2S2 2017). [ slides ]

Andrew Mao. Experiments of Collective Social Behavior in the Virtual Lab. At the 2nd International Conference on Computational Social Science (IC2S2 2016). [ slides, video ]

Andrew Mao and Sid Suri. How, When, and Why to Conduct Online Behavioral Experiments. At the 9th Conference on Web and Internet Economics (WINE 2013). [ slides ]

Selected Talks

Studying Teamwork and Cooperation in the Virtual Lab [ slides ]

May 9, 2017

Carnegie Mellon University AI Lunch and Seminar, Pittsburgh, PA

April 26, 2017

Brown University CSCI 1951k Guest Lecture, Providence RI

February 16, 2017

University of Pennsylvania Computational Linguistics Lunch, Philadelphia, PA

February 8, 2017

Harvard Business School Digital Initiative Seminar, Boston, MA [ audio, interview ]

January 31, 2017

GESIS Computational Social Science Seminar, Cologne, Germany

January 19, 2017

Aarhus University School of Business INEIS Seminar, Aarhus, Denmark

October 2016

SIGAI Career Network Conference, Boston, MA

October 2016

Northeastern University Network Science Institute, Boston, MA

October 2016

Cornell Tech Connected Media Lunch, New York, NY

September 2016

NYU Stern Information Systems Seminar, New York, NY

July 2016

Keynote at International Conference on Crowd Science and Engineering, Vancouver, BC

July 2016

University of Washington HCDE Seminar, Seattle, WA

April 2016

University of Pennsylvania CS Theory Seminar, Philadelphia, PA

April 2016

NYU Polytechnic, Brooklyn, NY

March 2016

Stanford HCI Seminar, Stanford, CA

January 2016

MIT Media Lab Seminar, Cambridge, MA

December 2015

Microsoft Research, Redmond, WA

Long-run Cooperation in the Finitely Repeated Prisoner’s Dilemma [ slides ]

March 9, 2017

Making Better Use of the Crowd, Microsoft Research Week, Redmond, WA

July 2016

Workshop on Human-Agent Interaction Design and Models, New York, NY

June 2016

International Conference on Computational Social Science, Evanston, IL

June 2016

Conference on Collective Intelligence, New York, NY

TurkServer: Toward a More Powerful and Flexible Virtual Lab

April 2016

Crowdsourcing and Behavioral Experiments, Montreal, Canada

Toward a Quantitative Understanding of Teamwork and Collective Intelligence

March 2016

Intelligent Systems Supporting Distributed Teamwork, Stanford, CA

Team Size, Organization, and Performance on Complex Tasks

November 2016

Summit on Human Problem Solving and AI, Sandbjerg, Denmark

November 2015

Digital Revolutions Workshop, Bergen, Norway

Exploring and Visualizing Dynamic Behavioral Data

September 2015

D3.js Meetup, New York, NY

Making an Impact with Meteor in Computer and Social Science

September 2014

Meteor Devshop, San Francisco, CA [ video ]

Designing Better Systems Through Capturing Human Behavior

February 2014

Microsoft Research, New York, NY

Program Committees

2017

International Conference on Computational Social Science (IC2S2)

2017

Conference on Human Computation and Crowdsourcing (HCOMP)

2017

Conference on Web and Social Media (ICWSM)

2017

World Wide Web Conference (WWW)

2016

International Joint Conference on Artificial Intelligence (IJCAI)

2016

International Conference on Autonomous Agents and Multiagent Systems (AAMAS)

2016

Conference on Artificial Intelligence (AAAI)

2015—2016

ACM Conference on Electronic Commerce (EC)

2014—2016

Workshop on Crowdsourcing and Online Behavioral Experiments (COBE)

Teaching Experience

Harvard University

Spring 2013

Teaching Fellow, CS 181 (Machine Learning)

Fall 2011

Teaching Fellow, AM 221 (Advanced Optimization)

Spring 2011

Teaching Fellow, AM 121 (Linear Optimization)

University of Pennsylvania

Spring 2009

Teaching Assistant, CIS 320 (Algorithms)

Spring 2008

Teaching Assistant, CIS 320 (Algorithms)

Awards

June 2016

IJCAI Outstanding PC Member Nomination

August 2011

Yahoo! Key Scientific Challenges Award

Spring 2011

Harvard University Certificate of Distinction in Teaching

2010

Goldman Sachs Graduate Student Fellowship in Engineering and Applied Sciences

2005–06, 2006–07, 2007–08, 2008–09

University of Pennsylvania Dean’s List

inducted 2009

Eta Kappa Nu EE/CS Honor Society

inducted 2009

Beta Gamma Sigma Business Honor Society

inducted 2008

Tau Beta Pi Engineering Honor Society

Other Interests

2016—present

New York Symphonic Arts Ensemble

2009—2014

Dudley House Orchestra (Concertmaster, Sept. 2009—Dec. 2010)

Avid skier, violinist, table tennis player, and gadget lover

Culinary enthusiast: see My Quest for the Perfect Roast Chicken

Scuba diving: PADI open water certified