Jon Freeman (academic)

[6] His research combines behavioural paradigms with computational modelling and human neuroimaging techniques such as functional magnetic resonance imaging.

[9] His research has demonstrated that tacit assumptions about social groups, emotions, or personality can all influence the way we visually perceive and internally represent others' faces.

[10][11][12][13] These effects are thought to be driven by specific interactions between the fusiform face area, orbitofrontal cortex, and anterior temporal lobe.

[6] For instance, he has examined mechanisms underlying the acquisition and reversal of unconscious bias, the brain's response to facial expressions or a person's trustworthiness outside conscious awareness, and the impact of split-second judgments on real-world outcomes.

[14][15][16][17][18] Freeman developed MouseTracker, a software that tracks decision-making in the brain over hundreds of milliseconds by analysing the trajectory of a human subject's response-directed hand movement via a mouse cursor.

[27] For instance, data from these surveys is necessary for official documentation of underrepresented groups in STEM and potential allocation of federal resources.