Imperial College London

DrSarahFilippi

Faculty of MedicineSchool of Public Health

Non-Clinical Lecturer in Biostatistics
 
 
 
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s.filippi

 
 
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Summary

 

Summary

I hold a joint Lectureship position in Biostatistics between the School of Public Health and the Department of Mathematics. I am also part of the MRC-PHE Centre for Environment and Health.

Where TO FIND ME?


I have an office in both the Department of Mathematics (room 545, Huxley building, South Kensington Campus) and in the Department of Epidemiology and Statistics (Medical School, St Mary's Hospital Campus).

PREVIOUS POSITIONS

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 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, Vol:5, ISSN:1932-4553, Pages:68-76

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

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

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

Filippi S, Holmes CC, Nieto-Barajas LE, 2016, Scalable Bayesian nonparametric measures for exploring pairwise dependence via Dirichlet Process Mixtures, Electronic Journal of Statistics, Vol:10, ISSN:1935-7524, Pages:1807-1828

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, Holmes C, 2016, A Bayesian nonparametric approach to testing for dependence between random variables, Bayesian Analysis, ISSN:1931-6690

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 of the United States of America, Vol:109, ISSN:0027-8424, Pages:17579-17584

Filippi S, Barnes CP, Kirk PDW, et al., 2016, Robustness of MEK-ERK Dynamics and Origins of Cell-to-Cell Variability in MAPK Signaling, Cell Reports, Vol:15, ISSN:2211-1247, Pages:2524-2535

Liepe J, Filippi S, Komorowski M, et al., 2013, Maximizing the Information Content of Experiments in Systems Biology, PLOS Computational Biology, Vol:9, ISSN:1553-734X

Mc Mahon SS, Lenive O, Filippi S, et al., 2015, Information processing by simple molecular motifs and susceptibility to noise, Journal of the Royal Society Interface, Vol:12, ISSN:1742-5689

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

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

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

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

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

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

Conference

Filippi S, Cappe O, Clerot F, et al., 2008, A Near Optimal Policy for Channel Allocation in Cognitive Radio, 8th European Workshop on Reinforcement Learning, SPRINGER-VERLAG BERLIN, Pages:69-+, ISSN:0302-9743

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

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

More Publications