I'm a statistician and data scientist specializing in computation and quantitative methods. Currently, I'm the Director of Statistics and Data Science at the UCSF Benioff Homelessness and Housing Initiative. I lead a team of eight other statisticians, epidemiologists and data scientists.As a statistician, my academic training, and research background has focused on issues of causal effects in observational studies and non-experimental settings, where randomized controlled studies are not possible. My methodological expertise spans computation and quantitative methods, administrative dataset analysis, large-scale study design, machine learning techniques and other advanced quantitative research methods.I have primarily applied these techniques to issues of public policy. Before transitioning to the UCSF Benioff Homelessness and Housing Initiative, I was a lead quantitative researcher at the UC Berkeley Center for Labor Research and Education. I have dedicated my career to improving the health of vulnerable populations such as persons experiencing homelessness, low-wage workers, undocumented children, and uninsured individuals and families. I am particularly interested in the intersection of health, labor, homelessness and policy, and in opportunities to draw meaningful conclusions about which policy interventions are effective at addressing these pressing issues.