Brown University: FeldmanHall Lab - Research Assistant

The FeldmanHall Lab study the neural basis of human social behavior, with a focus on morality, altruism, and socio-emotional decision-making. Its aim is to understand how the brain detects, values, and assesses these conflicting reward and punishment contingencies, and to examine the role of emotion and its operational power in shaping these social interactions.

During my time in the lab I focused on the research of uncertain decision making as well as social networks. My role as a research assist ranged from coding experiments and researching for literature reviews to conducting data analysis.

Highlights
1) Researched Social and Affective Cognitive Neuroscience focused on decision-making biases under contexts of Uncertainty, Emotion, and Conformity.
2) Performed statistical analyses of experimental data using Excel, R, Python, and MatLab. Analyses ranged from advanced regression models to complex agent-based modeling.
3) Coded/conducted experiments in both MatLab and Amazon Mechanical Turk using HMTL/CSS, Javascript, Node.JS, and Angular.JS.
4) Presented research findings of "Social Influence on Uncertain Decision Making" at Mind & Brain Conference in 2018.

Technical Skills:
Matlab, R, Python, Excel, Tableau, HTML, CSS, JavaScript, Node.js, Angular.js, Adobe Illustrator, Adobe Photoshop, Applied Regression Models, and Data Science.