Overview

I have vast experience leveraging quantitative methods to understand and predict operational processes that involve complex human-technology interactions (AI and UX) to improve system-level efficiency and minimize the risk associated with errors in either AI or human performance.

I have utilized both quantitative and qualitative methods to conduct user research for technology impacting internal and external products. These efforts included audit logs, interaction data, Python, LookBack for interviews, and other usability tools.

Throughout my career in industry, I led high-profile projects that resulted in several deployed models and products, in addition to performing research at academic institutions such as Harvard, MIT, Caltech and the University of Minnesota.

I have experience operating as an individual contributor, in addition to leading technical teams either through formal scrums or informal meetings.

Research Topics

Algorithms

I developed algorithms across several domains to improve operational efficiency

Targeted Metrics

I enjoy producing metrics that quantify human performance in real-world settings

Human Modeling

I have a keen interest in predicting human performance under uncertainty and risk

Risk Quantification

I have vast experience quantifying risk across several mission critical environments

My Resume

Experience

Overview of my work across academia and industry

Education

This section outlines my educational background

Sample Publications

14 Aug 2012

Multifidelity Simulation for Aerospace Risk

Schlicht, E.J., Lee, R., Wolpert, D., Kochenderfer, M. , and Tracey, B. (2012). Predicting the behavior of interacting humans by fusing data from multiple sources. In the Proceedings of UAI-2012.

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30 Sept 2016

Multifidelity Simulation for Transportation Risk

Schlicht, E.J. & Morris, N. (2016). Risk Evaluation for In-vehicle Sign Information. MnDOT Report Number 2016-18.

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24 April 2024

Political Misinformation Trends

Schlicht, E.J. (2024) Characteristics of political misinformation over the past decade. BEA: The Impact of Disinformation and Misinformation on a Democratic Society. [Accepted].

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Media Coverage

12 Aug 2010

Scientific American

Article overviews my postdoctoral work that redefined an effective 'poker face'

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26 Mar 2013

Polygon Gaming

Article summarizes our MIT LL panel on Serious Gaming for investigating national security topics

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01 Nov 2017

ML Conf Interview

Interview with the Machine Learning Conference regarding my work on multifidelity simulation

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