Tehran Davis

Background

About Tehran Davis

I am a cognitive and data scientist with a research focus on human performance, social coordination, and decision-making. My work leverages advanced technologies such as virtual reality, motion capture, and eye tracking to gather and analyze complex, multi-modal data. This allows me to uncover the subtleties and complexities of human behavior in various contexts, ranging from interactions within the metaverse to the fast-paced dynamics of a soccer match. In tackling these challenges, I blend traditional quantitative methods with advanced tools from nonlinear dynamics and complexity science. My analytical repertoire includes machine learning, recurrence quantification methods, entropy analyses, and multi-scale analysis techniques. This diverse toolkit aids me in deciphering and quantifying the complex dynamics of human behavior, aiming to provide more nuanced insights into our actions and decision-making processes. I am open to connecting with professionals, researchers, and organizations who share a passion for advancing our understanding of human behavior through data. Whether it's discussing a potential research collaboration, a speaking opportunity, or simply exchanging ideas over the latest developments in human performance, data science and psychology, I welcome the opportunity to connect and engage.