Krista Neumann is a PhD student in Epidemiology at Berkeley’s School of Public Health. Her goal is to apply her training in Mathematics to social epidemiological questions focused on reducing health disparities. Neumann’s current research interests aim to answer the causal question: which policies, programs and interventions most successfully reduce systematically embedded barriers to health for marginalized and low-income communities. She’s particularly interested in food and nutrition insecurity as a specific outcome, as well as ways to overcome obstacles which prevent evidence from affecting meaningful policy changes. Neumann holds a Bachelors of Mathematics from the University of Waterloo in Canada. “I’m thrilled to be joining such an exceptional cadre of CSSTP fellows! The program’s interdisciplinary and integrated approach offers a unique opportunity to collaborate with and learn from others focused on bridging computational methods and social science frameworks to further health equity. I’m excited to build up my quantitative and methodological toolkits to better support my goals.”
Job title:
Computational Social Science Fellow
Department:
School of Public Health
Bio/CV:
Research interests:
