Dataminr

Sr. Research Scientist

Dr. Schlicht is currently working as a Sr. Research Scientist at Dataminr, and is developing unsupervised methods for process mining using operational data from human-computer interactions.

BrainCallus Gaming Project

Founder

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

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.

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.

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.

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.

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.

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.

University of Minnesota

Doctorate (PhD)

Major: Cognitive and Brain Sciences; Minor: Human Factors

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

Minnesota State University, Mankato

Bachelor of Science (BSc)

Major: Psychology; Minor: Biology