Imperial College London

DrSarahFilippi

Faculty of Natural SciencesDepartment of Mathematics

Senior Lecturer in Statistics
 
 
 
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Contact

 

+44 (0)20 7594 8562s.filippi

 
 
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Location

 

523Huxley BuildingSouth Kensington Campus

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Summary

 

Summary

I am a Senior Lecturer in Statistical Machine Learning in the Department of Mathematics. I am also part of the MRC-PHE Centre for Environment and Health.

PREVIOUS POSITIONS

From 2017 to 2019, I held a joint lectureship position between the School of Public Health and the Department of Mathematics at Imperial College. I previously was a Lecturer in the Statistic Department of Oxford University (2014-2016) and a faculty fellow at the Alan Turing Institute. Prior to this, I held a Medical Research Council Fellowship (2011-2104) in the Theoretical Systems Biology group at Imperial College London.

Selected Publications

Journal Articles

Filippi SL, Muraro D, Parker A, et al., 2018, Chronic TNFα-driven injury delays cell migration to villi in the intestinal epithelium, Journal of the Royal Society Interface, Vol:15, ISSN:1742-5662

Dony L, Mackerodt J, Ward S, et al., 2018, PEITH(Theta): perfecting experiments with information theory in Python with GPU support, Bioinformatics, Vol:34, ISSN:1367-4803, Pages:1249-1250

Smith RCG, Stumpf PS, Ridden SJ, et al., 2017, The problem of measurement in cell biology: a tale of two alleles, European Biophysics Journal With Biophysics Letters, Vol:46, ISSN:0175-7571, Pages:S371-S371

Smith RCG, Stumpf PS, Ridden SJ, et al., 2017, Nanog fluctuations in embryonic stem cells highlight the problem of Measurement in cell biology, Biophysical Journal, Vol:112, ISSN:1542-0086, Pages:2641-2652

Zhang Q, Filippi S, Gretton A, et al., 2017, Large-Scale Kernel Methods for Independence Testing, Statistics and Computing, Vol:28, ISSN:1573-1375, Pages:113-130

Wills QF, Mellado-Gomez E, Nolan R, et al., 2017, The nature and nurture of cell heterogeneity: accounting for macrophage gene-environment interactions with single-cell RNA-Seq., BMC Genomics, Vol:18, ISSN:1471-2164

Filippi S, Holmes CC, Nieto-Barajas LE, et al., 2016, Scalable Bayesian nonparametric measures for exploring pairwise dependence via Dirichlet Process Mixtures, Electronic Journal of Statistics, Vol:10, ISSN:1935-7524, Pages:3338-3354

Filippi S, Holmes C, 2016, A Bayesian nonparametric approach to testing for dependence between random variables, Bayesian Analysis, Vol:12, ISSN:1931-6690, Pages:919-938

Filippi S, Barnes CP, Kirk PDW, et al., 2016, Robustness of MEK-ERK Dynamics and Origins of Cell-to-Cell Variability in MAPK Signaling, Cellreports

Mahon SSM, Lenive O, Filippi S, et al., 2015, Information processing by simple molecular motifs and susceptibility to noise, Journal of the Royal Society Interface

Mc Mahon SS, Sim A, Filippi S, et al., 2014, Information theory and signal transduction systems: From molecular information processing to network inference, Seminars in Cell & Developmental Biology, Vol:35, ISSN:1084-9521, Pages:98-108

MacLean AL, Filippi S, Stumpf MPH, 2014, The ecology in the hematopoietic stem cell niche determines the clinical outcome in chronic myeloid leukemia, Proceedings of the National Academy of Sciences of the United States of America, Vol:111, ISSN:0027-8424, Pages:3883-3888

Liepe J, Kirk P, Filippi S, et al., 2014, A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation, Nature Protocols, Vol:9, ISSN:1754-2189, Pages:439-456

Silk D, Filippi S, Stumpf MPH, 2013, Optimizing threshold-schedules for sequential approximate Bayesian computation: applications to molecular systems, Statistical Applications in Genetics and Molecular Biology, Vol:12, ISSN:2194-6302, Pages:603-618

Filippi S, Barnes CP, Cornebise J, et al., 2013, On optimality of kernels for approximate Bayesian computation using sequential Monte Carlo, Statistical Applications in Genetics and Molecular Biology, Vol:12, ISSN:2194-6302

Silk D, Filippi S, Stumpf MPH, 2013, Optimizing threshold-schedules for sequential approximate Bayesian computation: applications to molecular systems, Statistical Applications in Genetics and Molecular Biology, Vol:12, ISSN:2194-6302, Pages:603-618

Liepe J, Filippi S, Komorowski ML, et al., 2013, Maximizing the Information Content of Experiments in Systems Biology, Plos Computational Biology

Barnes CP, Filippi S, Stumpf MPH, et al., 2012, Considerate approaches to constructing summary statistics for ABC model selection, Statistics and Computing, Vol:22, ISSN:0960-3174, Pages:1181-1197

Barnes C, Filippi S, Stumpf MPH, et al., 2012, Considerate approaches to achieving sufficiency for ABC model selection, Statistics and Computing, Vol:22, ISSN:0960-3174, Pages:1181-1197

Roy A, Cowan G, Mead AJ, et al., 2012, Perturbation of fetal liver hematopoietic stem and progenitor cell development by trisomy 21., Proceedings of the National Academy of Sciences

Filippi S, Cappe O, Garivier A, 2011, Optimally Sensing a Single Channel Without Prior Information: The Tiling Algorithm and Regret Bounds, Ieee Journal of Selected Topics in Signal Processing

Conference

Flaxman S, Sejdinovic D, Cunningham JP, et al., 2016, Bayesian Learning of Kernel Embeddings, UAI'16

Filippi S, Cappe O, Garivier A, 2010, Optimism in Reinforcement Learning and Kullback-Leibler Divergence, ALLERTON 2010

Filippi S, Cappe O, Garivier A, et al., 2010, Parametric bandits: The generalized linear case, Neural Information Processing Systems (NIPS’2010)

Filippi S, Cappe O, Clerot F, et al., 2008, A Near Optimal Policy for Channel Allocation in Cognitive Radio, EWRL 2008

More Publications