How do we form impressions of others, and what impact do these impressions have on our thoughts, feelings, and decisions? Our laboratory investigates impression formation and social decision-making through the lenses of social cognition and social neuroscience. Our research explores how people interpret others using various perceptual cues, including non-human characteristics (such as AI or robots) and human traits (such as perceived trustworthiness or identity characteristics). Additionally, we examine how individual differences, social context, and environmental pressures influence social perception, evaluation, and decision-making. To accomplish this, we employ a variety of methods, including behavioral measures (such as reaction time data and economic games), computational modeling and machine learning techniques (like reinforcement learning, neural networks, LLM), functional magnetic resonance imaging (fMRI), event-related potentials (ERP), and psychophysiological measures (including electrocardiographic and impedance cardiography signals).