My name is Steven Woodhouse and I am currently a postdoctoral researcher in computational biology at the Perelman School of Medicine at the University of Pennsylvania, in Pablo Cámara's lab.
Before UPenn I worked at Microsoft Research as a postdoc for two years with Jasmin Fisher. I received my PhD in Haematology at the University of Cambridge under Bertie Gottgens, where I developed an algorithm for synthesising executable regulatory models from single cell gene expression data and applied it to the study of embryonic blood development. Before that I studied for my MPhil in computational biology at the University of Cambridge, and my BSc in computer science from Newcastle University.
My research interests are in using computational approaches to improve regenerative medicine and immunotherapy. At UPenn I am currently working on characterising and optimising chimeric antigen receptor (CAR) T cell therapy, and on developmental gene regulatory networks. I am also currently working on applications of game theory to cancer evolution and targeted therapy.
I also have a strong interest in theoretical computer science, particularly algorithms for seemingly intractable combinatorial problems.
My publications can be found on my Google scholar profile.
At Penn with Pablo Camara and Jos Melenhorst, and in collaboration with the Rong Fan lab at Yale I am working on characterising CAR T cell therapy using single-cell RNA-seq.
During my PhD at Cambridge I developed an algorithm for the synthesis of mechanistic, executable gene regulatory networks from single-cell gene expression data. With Bertie Gottgens, Jasmin Fisher and Nir Piterman I applied this algorithm to the study of blood development in the mouse embryo. At Penn with Pablo Camara I am adapting this method to modern scRNA-seq data, using methods from topological data analysis.
In collaboration with Matthew Clarke, Nir Piterman and Jasmin Fisher, I am applying ideas from computational game theory to the problem of cancer evolution and therapy resistance.