Resume

About Me

Summary

My research leverages techniques from AI, machine learning, and computational cognitive science to predict human behavior under risk and uncertainty.

This page details my experience across academia and industry. Please download my CV to see all of my experience.

Abilities

My Skills

I have experience leveraging structured (e.g., SQL) and unstructured data to train and evaluate supervised and unsupervised algorithms. I also have experience producing visually appealing and informative visualizations to tell compelling 'stories' with the data and model output.

Finally, I have developed Bayesian and decision-theoretic models that predict human performance under risk and uncertainty across several domains.

Statistical Programming90%

Artificial Intelligence80%

Machine Learning95%

SQL/Visualization75%

Some Random

Achievements

This award was granted to Erik Schlicht for achieving a 4.9/5.0 overall student rating for a Research Methods course he instructed at Harvard University.

Certificate of Teaching Distinction

Harvard University

quote

Methods for quantifying an entity's reaction to one or more communication signals by quantifying a probabilistic relationship...

US Patent

Number 8407026

Resume

Experience

  • 2020 - Present
    BrainCallus Gaming Project

    Founder

    Dr. Schlicht is currently working as the Founder of the BrainCallus Gaming Project and is responsible for all technical and business aspects of the company. The BrainCallus Gaming Project is an effort seeking to improve psychiatric decision-making by leveraging a combination of computational gaming, machine learning and cognitive science. He is currently developing the Brain Barn Series of games that contain modules capable of quantifying player perception, decision-making and movements.

  • 2016 - 2019
    Computational Cognition Group

    Founder

    Dr. Schlicht was the Founder of the Computational Cognition Group (C2-g), LLC and was responsible for all technical and business aspects of the company. During his tenure as founder, he gained attention for leveraging multifidelity methods and computational gaming to design decision-support systems. He also developed a novel model to improve the prediction of NFL outcomes by exploiting oddsmaker decision biases.

  • 2015 - 2016
    University of Minnesota

    Researcher

    Dr. Schlicht returned to the University of Minnesota to conduct research in the HumanFIRST Lab where he developed machine learning algorithms (e.g., Bayesian Networks, Support Vector Machine regression, Binary classification with Lasso) to predict human driving behavior. These models were then used to estimate the risk associated with candidate transportation technology by using the predictive models in multifidelity simulation.

  • 2014 - 2015
    Medtronic

    Human Factors Engineer

    At Medtronic, Dr. Schlicht was part of a team that was responsible for developing next-generation Deep-Brain-Stimulation devices to help treat diseases, such movement disorders.

  • 2011 - 2014
    MIT Lincoln Laboratory

    Technical (Research) Staff

    Dr. Schlicht was a researcher at MIT Lincoln Laboratory conducting research related to national security. He was responsible for developing a novel model to predict the decisions of interacting humans. The model defined a quantitative method to combine the results from low-fidelity simulations (e.g., novice in an online simulator) with high-fidelity simulations (e.g., expert in an immersive simulator) to evaluate when inexpensive low-fidelity data can be used to as a proxy for expensive high-fidelity simulations. Moreover, he was part of an effort to use Serious Games as a means to develop quantitative models of operational decision-making.

  • 2010 - 2011
    Aptima

    Cognitive Scientist

    Dr. Schlicht was a Cognitive Scientist at Aptima and led several SBIR and STTR efforts on projects related to national security. In his brief time at Aptima, he was awarded one OSD contract for a biologically-inspired approach to automated scene estimation (BIS-E), in addition to successfully securing one patent for quantifying human reactions to communications.

Resume

Education

  • 2007 - 2010
    Harvard University and Caltech

    Postdoctoral Associate

    While a postdoctoral researcher between Harvard University and Caltech, Dr. Schlicht developed a low-fidelity game to quantitatively investigate human decision-making in a competitive (zero-sum) task. This research received an enormous amount of public interest and has been covered by several major media outlets, and resulted in a publication that was rated in the Top 5 Percent of all research output according to metrics by Altmetric.

  • 2000 - 2007
    University of Minnesota

    Doctorate (PhD)

    Major: Cognitive and Brain Sciences; Minor: Human Factors

    Thesis: Statistical Decision-Theory for Human Perception-Action Cycles

  • 1994 - 1998
    Minnesota State University, Mankato

    Bachelor of Science (BSc)

    Major: Psychology; Minor: Biology

Examples of

Invited Talks

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© 2020 Erik J Schlicht. All rights reserved