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Trevor Wrobleski

PhD Student

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About

About

Research Group
Data Science

Supervisors

Dr Sara Geneletti, Dr Kostas Kalogeropoulos and Dr Francesca Panero

Trevor is a MPhil/PhD candidate in Statistics at the London School of Economics, where he is part of the data science research group funded by UK Research and Innovation, Economic and Social Research Council. Prior to joining this program, Trevor obtained a BA from Johns Hopkins University, an MMSc from Tsinghua University as a Schwarzman Scholar, and an MSc from the London School of Economics.

His research primarily focuses on advancing risk assessment through the development and implementation of Bayesian statistical methodologies. Currently, Trevor is working on Bayesian parametric and semiparametric methods to evaluate toxicology and pharmacological dose-response curves, under the supervision of Sara Geneletti, Kostas Kalogeropoulos, and Francesca Panero.

Beyond risk assessment, Trevor's interests extend to operations research, high-dimensional variable selection, computational efficiency optimization, model averaging, and spatio-temporal modeling. He is particularly interested in applying statistical methodologies in the health, pharmaceutical, and biotech sectors. If you have an interesting problem or dataset from academia or industry, he would be happy to connect.