I am a final year PhD student in a Cognitive Neuroscience program at Dartmouth College. I study how humans represent faces and social identities of personally familiar others. In the course of my PhD, I have conducted several studies on human face recognition behavior. I am currently working on how the human brain represents social information in narrative, naturalistic contexts by using machine learning techniques to analyze high dimensional neuroimaging data. I'm comfortable writing code in Python, and in understanding and deploying statistical models.

I want to shift my career towards comparing human and algorithmic bias, and what the similarities and/or differences in performance mean for determining best practices for deploying these algorithms at a larger scale. I am also open to working at the intersection of technology, policy, and law by communicating my technical understanding of machine learning models with wider audiences.

I value inclusive and equitable workplaces and am committed to creating environments that welcome identities that have been historically excluded from research.