Summary
I am a Reader in Statistical Machine Learning in the Department of Mathematics.
PREVIOUS POSITIONS
Coming from a background in mathematics and the theory of stochastic processes, I completed a Ph.D. in Statistical Machine Learning at Télécom ParisTech in November 2010. After my PhD, I have been awarded a Medical Research Council Fellowship (2011-2014) and worked in the Theoretical Systems Biology group at Imperial College London. From 2014 to 2016, I was in the Statistic Department of Oxford University and a faculty fellow at the Alan Turing Institute before coming back to Imperial College London where I first held a joint lectureship position between the School of Public Health and the Department of Mathematics (2017-2019) and then a senior lectureship in the Department of Mathematics.
Selected Publications
Journal Articles
Zhang Q, Wild V, Filippi S, et al., 2022, Bayesian kernel two-sample testing, Journal of Computational and Graphical Statistics, Vol:31, ISSN:1061-8600, Pages:1164-1176
Reiker T, Golumbeanu M, Shattock A, et al., 2021, Emulator-based Bayesian optimization for efficient multi-objective calibration of an individual-based model of malaria, Nature Communications, Vol:12, ISSN:2041-1723
NCD Risk Factor Collaboration (NCD-RisC), Iurilli N, 2021, Heterogeneous contributions of change in population distribution of body-mass index to change in obesity and underweight, Elife, Vol:10, ISSN:2050-084X
Unwin H, Mishra S, Bradley V, et al., 2020, State-level tracking of COVID-19 in the United States, Nature Communications, Vol:11, ISSN:2041-1723, Pages:1-9
Kolbeinsson A, Filippi S, Panagakis I, et al., 2020, Accelerated MRI-predicted brain ageing and its associations with cardiometabolic and brain disorders, Scientific Reports, Vol:10, ISSN:2045-2322
Roberts G, Fontanella S, Selby A, et al., 2020, Connectivity patterns between multiple allergen specific IgE antibodies and their association with severe asthma, Journal of Allergy and Clinical Immunology, Vol:146, ISSN:0091-6749, Pages:821-830
Monod M, Blenkinsop A, Xi X, et al., 2020, Report 32: Targeting interventions to age groups that sustain COVID-19 transmission in the United States, Pages:1-32
Teymur O, Filippi S, 2020, A Bayesian nonparametric test for conditional independence, Foundations of Data Science, Vol:2, ISSN:2639-8001, Pages:155-172
Yeung E, McFann S, Marsh L, et al., 2020, Inference of multisite phosphorylation rate constants and their modulation by pathogenic mutations, Current Biology, ISSN:0960-9822
Sonntag H-J, Filippi S, Pipis S, et al., 2019, Blood biomarkers of sensitization and asthma, Frontiers in Pediatrics, Vol:7, ISSN:2296-2360
Jetka T, Nienałtowski K, Filippi S, et al., 2018, An information-theoretic framework for deciphering pleiotropic and noisy biochemical signaling, Nature Communications, Vol:9, ISSN:2041-1723
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
Filippi S, Holmes C, 2017, A Bayesian nonparametric approach to testing for dependence between random variables, Bayesian Analysis, Vol:12, ISSN:1931-6690, Pages:919-938
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, 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, 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
Bhatnagar N, Perkins K, Filippi S, et al., 2014, Clinical and Hematologic Impact of Fetal and Perinatal Variables on Mutant GATA1 Clone Size in Neonates with Down Syndrome, Blood, Vol:124, ISSN:0006-4971
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
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
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
Zhang Q, Filippi SL, Flaxman S, et al., 2017, Feature-to-feature regression for a two-step conditional independence test, Uncertainty in Artificial Intelligence
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