Data Science Institute

Data Scientist Spotlight

Conor Artman

Postdoctoral researcher, AI Research Group, Computational Engineering Division

When did you start at the Lab? I started in January 2024!

What did you study in your path to this career? I initially studied mathematics and economics as an undergraduate, and I became interested enough in human decision making and econometrics that I completed an en route MA in economics. Then, I joined the research staff in Dan Ariely’s lab at Duke University. While I was there, I gained broad exposure to other fields by working with neuroscientists, computer scientists, psychologists, clinicians, and others. Ultimately, for the problems I cared about, the main bottleneck was how well we could model semi-random processes, so I pursued a PhD in statistics, focusing on decision support problems in security, health, and social good applications.

What project(s) are you currently working on? I’m exploring methods that blend inference, optimal control, and physics to address shortcomings in current machine learning models for decision support applications.

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