I am a PhD candidate at Stony Brook University, pursuing a degree in Cognitive Science with an emphasis in Quantitative Methods. I am part of the Cognition and Decision Lab and the Computational Social Science of Emerging Realities Group, and work in collaboration with the Social Memory and Cognition Lab. My research involves a combination of behavioral and computational methods.
I primarily do research in the areas of:
• Human decision making including patience, decisions under uncertainty, and Bayesian reasoning - with a focus on medical decisions
• Decision science and risk, focusing on optimal decision strategies under imprecise probabilities
• Collaborative memory and social networks, focusing on how information spreads across social networks
● Assisted the Program Innovation Team in developing new product features ● Built online tools for pilot and diary studies, including screening surveys for recruitment ● Managed data and web-based tools for a large pilot study ● Independently conducted statistical analyses that were presented to the CEO and Executive Committee ● Assisted with usability testing and structured interviews ● Sketched design ideas and participated in design workshops ● Conducted scientific literature reviews to inform product decisions
● Conducted research in the areas of: ○ Human decision making including patience and decisions under uncertainty, focusing on medical decisions ○ Decision science and risk, focusing on optimal decision strategies under imprecise information ○ Collaborative memory and social networks, focusing on how information spreads across social networks ● Conducted behavioral experiments in a lab setting (including eye-tracking) and via online survey platforms ● Built computer simulations for research purposes ● Regularly presented work at academic conferences and to collaborators in industry ● Interviewed, hired, and managed research assistants ● Managed subject pool and practical/technical needs of experiments ● Developed coding schemes to quantify qualitative data