Marie D. Manner

PhD from the AI, Robotics, and Vision Laboratory at the University of Minnesota.

My thesis research uses computer vision and robotics to help diagnose autism spectrum disorder and other pervasive developmental disorders in very young children. I have 10+ years experience teaching and tutoring mathematics at all levels (GED, nursing exams, calculus, etc), and computer science at the undergraduate level. I have 4+ years quality assurance experience in mixed manual and automated testing, waterfall and agile development methodologies, international teams, and small team leadership. I'm a programmer and adventurer, and I firmly believe in learning as much as possible while doing the things you love.

This webpage is a quick highlights reel. For more details check out my CV here or my résumé here.


Ph.D. Computer Science (2018)

Advisor: Dr. Maria Gini
Thesis title: Leveraging Computer Vision and Humanoid Robots to Detect Autism in Toddlers
University of Minnesota - Twin Cities
Minneapolis, Minnesota, USA

M.S. Computer Science, Psychology minor (2013)

University of Minnesota - Twin Cities
Minneapolis, Minnesota, USA

B.S. Mathematics, Computer Science minor (2009)

St. Catherine University
St. Paul, Minnesota, USA


I do a lot of teaching and demonstrations to make women in technology more visible. I want to give women the opportunity to get into computer science at a younger age than I did :-)

Teaching in the classroom

I have been a teacher's assistant for CSCI2021 (hardware and organization), CSCI4061 (introduction to operating systems) using C at the University of Minnesota (from 2010-2012 and 2015-2017). I was also an adjunct lecturer for CSCI 1110 and CSCI 1120 (introduction to programming) using Python and Java at St. Catherine University (from 2013-2014).

Teaching in summer camps

I teach python programming to middle-school to high-school women at the University of Minnesota in our yearly computing academy (every summer from 2015-2017). I've also traveled to the University of Iowa to help teach the Robot Theater Summer Camp (every summer from 2015-2017).

Showing off robots

I've traveled to The Works to show off our NAO robots in 2013-2016 at Robot Day with the University of Minnesota and in 2017 at Girl Time as a research intern at SIFT.


Leveraging Computer Vision and Humanoid Robots to Detect Autism in Toddlers
Thesis, 2018
Marie D. Manner

An Examination of Recording Accuracy and Precision From Eye Tracking Data From Toddlerhood to Adulthood
Frontiers in Psychology, 2018
Kirsten A. Dalrymple, Marie D. Manner, Katherine A. Harmelink, Elayne P. Teska, and Jed T. Elison

Graphically representing child-robot interaction proxemics
Health Intelligence Workshop, AAAI Conference on Artificial Intelligence, 2018
Marie D. Manner, Maria Gini, Jed Elison

Determining child orientation from overhead video: a multiple kernel learning approach
IEEE International Conference on Systems, Man, and Cybernetics, 2017
Marie D. Manner, Ming Jiang, Qi Zhao, Maria Gini, Jed Elison

A taxonomy for task allocation problems with temporal and ordering constraints
Robotics and Autonomous Systems, 2016
Ernesto Nunes, Marie Manner, Hakim Mitiche and Maria Gini

Using small humanoid robots to detect autism in toddlers
Doctoral Consortium, International Joint Conference on Artificial Intelligence (IJCAI) Proceedings, 2015
Marie D. Manner

Girls and robots in the performing arts
Women in AI and CS Workshop, International Joint Conference on Artificial Intelligence (IJCAI) Proceedings, 2015
Denise Szecsei, Marie D. Manner

Using the Gatekeeper concept to design and assign multiagent teams
Multiagent Interaction Networks Workshop, Autonomous Agents and Multiagent Systems (AAMAS) Proceedings, 2013
Marie D. Manner, M. Birna van Riemsdijk, and Catholijn M. Jonker

Improving agent team performance through helper agents
Cognitive Agents in Virtual Environments Workshop, Autonomous Agents and Multiagent Systems (AAMAS) Proceedings, 2012
Marie D. Manner, Maria Gini



Data Scientist, January 2019 - present
Working in the Connected Safety group in the Personal Safety Division, making work places safer.

Smart Information Flow Technologies (SIFT)

Research Intern, May 2017 - December 2018
Testing and developing a few projects funded through the government's Small Business Innovation Research contracts, for example detecting regard-altering strategies via text, and testing a game that teaches soldiers how to improve sleep hygiene.

Express Employment Professionals

Web Support Specialist, July 2012 - March 2014
Remotely perform quality assurance in company database to ensure associate compliance and take appropriate steps for correction. Troubleshoot and maintain updates on company website via WordPress. Perform internal audits as requested by management.

Pearson VUE

SQA Analyst and Team Lead, May 2011 - Aug. 2011
Led a brand new, 4 month project to analyze code coverage on highly complex test driver with a team of interns. Mentored interns in quality assurance and business practices. Assisted in the reorganization and implementation of regression test suite, including providing a framework for transition from current scheme.

Software Quality Assurance Analyst, June 2009 - Aug. 2010
Tested newest generation computer adaptive testing driver with agile driven feature development in VersionOne, as well as risk based regression testing with Quality Center (with QTP automation) and ClearQuest (waterfall projects).


Quality Assurance Engineer, June 2007 - July 2009
Tested and analyzed an automated testing product suite utilized by large scale wireless mobile companies, using Microsoft's TFS and MDB to write and execute test cases, track defects, and suggest enhancements. Worked in a globally distributed (Russia and India) agile development environment.


Write me at manne044 then the fancy at symbol umn dot edu.