390 Serra Mall, Sequoia Hall,
Stanford, CA, 94305.
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I am a statistician interested in developing methodology driven by scientific applications. My work spans across high dimensional inference, Bayesian methods, non-parametric statistics, random fields and causal inference. I explore open questions in statistical genomics that directly motivate most of my work.
I am expected to complete my PhD thesis under the supervision of Jonathan Taylor in 2018. My thesis focuses on the development of Bayesian inferential tools in the emerging area of selective inference. My research enables a practitioner to provide credible intervals and estimates like the posterior mean and MAP post selection that are based on an adjusted posterior. I am curently working with Chiara Sabatti to identify causal variants and use my methods to provide selective-bias free effect size estimates in genomics.
My other research interests involve study of multivariate random fields, characterizing path properties and establishing geometric connections. More recently, I am collaborating with Guido W.Imbens to build methods for providing and assessing credibility of causal estimates. In the past, I have collaborated with Technicolor Research, Los Altos to construct temporally evolving user personas and models for prediction of user Clickthrough Rates (CTR) based on persona features.