![Sarah Langley](https://profiles-cardiff.imgix.net/attachments/5030?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Dr Sarah Langley
Lecturer
- Available for postgraduate supervision
School of Biosciences
Overview
We use a combination of high-throughput omics data to study dysregulated transcriptional and translational processes in human disease. There are three broad areas of investigation - disease mechanisms, pharmaco -genomics and -transcriptomics, and computational methods development.
Disease mechanisms
To investigate disease mechanisms and dysregulated molecular processes, we utilize large scale omics datasets – primarily DNA- and RNA-sequencing and mass spectrometry proteomics –coupled with cutting edge analytical techniques. By integrating these different omics datasets in systems-level approach, we aim to interrogate the role that molecular processes play in the development and progression of human disease.
Pharmaco-genomics and -transcriptomics
We investigate the interactions between molecular phenotypes and small molecule/drug perturbations through the use of genetic-drug response association studies and large-scale transcriptomic screens. By elucidating these interactions, our goal is to understand the effect of genetic backgrounds on drug response in diseases with current treatment options as well as to identify putative compounds for repurposing efforts for those diseases with poor or no therapeutic options.
Computational Methods Development
We also develop computational methodologies and pipelines for elucidating insight into large biological datasets. The selection of these methodologies for development is determined by the biological questions of interest and our current ability to answer them. This involves a combination of statistics, programming, machine learning and the use of high-performance computing resources.
Publication
2025
- Lai, K. O. et al. 2025. Age-dependent regulation of hippocampal inflammation by the mitochondrial translocator protein in mice. Aging Cell
2023
- Zalivina, I. et al. 2023. Inhibition of miR-199a-3p in a murine hypertrophic cardiomyopathy (HCM) model attenuates fibrotic remodeling. Journal of Molecular and Cellular Cardiology Plus 6, article number: 100056. (10.1016/j.jmccpl.2023.100056)
- Utami, K. H. et al. 2023. Dysregulated COMT expression in fragile X syndrome. NeuroMolecular Medicine 25(4), pp. 644-649. (10.1007/s12017-023-08754-1)
- Tano, V., Utami, K. H., Yusof, N. A. B. M., Bégin, J., Tan, W. W. L., Pouladi, M. A. and Langley, S. R. 2023. Widespread dysregulation of mRNA splicing implicates RNA processing in the development and progression of Huntington's disease. EBioMedicine 94, article number: 104720. (10.1016/j.ebiom.2023.104720)
- Fairley, L. H. et al. 2023. Mitochondrial control of microglial phagocytosis by the translocator protein and hexokinase 2 in Alzheimer's disease. Proceedings of the National Academy of Sciences 120(8), article number: e2209177120. (10.1073/pnas.2209177120)
2022
- Tham, N. and Langley, S. R. 2022. Evaluating the robustness of connectivity methods to noise for in silico drug repurposing studies. Frontiers in Systems Biology 2, article number: 1050730. (10.3389/fsysb.2022.1050730)
- Ziaei, A. et al. 2022. Ermin deficiency leads to compromised myelin, inflammatory milieu, and susceptibility to demyelinating insult. Brain Pathology 32(5), article number: e13064. (10.1111/bpa.13064)
- Bao, X. et al. 2022. Molecular subgroups of intrahepatic cholangiocarcinoma discovered by single-cell RNA sequencing–assisted multiomics analysis. Cancer Immunology Research 10(7), pp. 811–828. (10.1158/2326-6066.CIR-21-1101)
- Chothani, S. P. et al. 2022. A high-resolution map of human RNA translation. Molecular Cell 82(15), pp. 2885-2899. (10.1016/j.molcel.2022.06.023)
2021
- Basnakova, A. et al. 2021. The habenula clock influences response to a stressor. Neurobiology of Stress 15, article number: 100403. (10.1016/j.ynstr.2021.100403)
2020
- Trott, J. et al. 2020. Mitchell-Riley syndrome iPSC exhibit reduced pancreatic endoderm differentiation due to an RFX6 mutation. Development 147(21) (10.1242/dev.194878)
2019
- Zhang, J. et al. 2019. Expanded huntingtin CAG repeats disrupt the balance between neural progenitor expansion and differentiation in human cerebral organoids. [Online]. bioRXiv. (10.1101/850586) Available at: https://doi.org/10.1101/850586
- Laaniste, L. et al. 2019. Integrated systems-genetic analyses reveal a network target for delaying glioma progression.. Annals of Clinical and Translational Neurology 6(9), pp. 1616-1638. (10.1002/acn3.50850)
- Chothani, S. et al. 2019. Widespread translational control of fibrosis in the human heart by RNA-binding proteins.. Circulation 140(11), pp. 937-951. (10.1161/CIRCULATIONAHA.119.039596)
- Bardile, C. F. et al. 2019. Intrinsic mutant HTT-mediated defects in oligodendroglia cause myelination deficits and behavioral abnormalities in Huntington disease. Proceedings of the National Academy of Sciences of the United States of America 116(19), pp. 9622-9627. (10.1073/pnas.1818042116)
- Tan, A. L. M. et al. 2019. Ethnicity-specific skeletal muscle transcriptional signatures and their relevance to insulin resistance in Singapore.. The Journal of Clinical Endocrinology & Metabolism 104(2), pp. 465-486. (10.1210/jc.2018-00309)
- Ooi, J. et al. 2019. Unbiased profiling of Isogenic Huntington Disease hPSC-Derived CNS and peripheral cells reveals strong cell-type specificity of CAG length effects. Cell Reports 26(9), pp. 2494-2508. (10.1016/j.celrep.2019.02.008)
2018
- Barwari, T. et al. 2018. Inhibition of profibrotic microRNA-21 affects platelets and their releasate.. JCI Insight 3(21), article number: e123335. (10.1172/jci.insight.123335)
- Chothani, S. et al. 2018. Translational control of cardiac fibrosis. [Online]. bioRXiv. (10.1101/451666) Available at: https://doi.org/10.1101/451666
- May, P. et al. 2018. Rare coding variants in genes encoding GABAA receptors in genetic generalised epilepsies: an exome-based case-control study.. The Lancet. Neurology 17(8), pp. 699-708. (10.1016/s1474-4422(18)30215-1)
- McCormack, M. et al. 2018. Genetic variation in CFH predicts phenytoin-induced maculopapular exanthema in European-descent patients.. Neurology 90(4), pp. e332-e341. (10.1212/WNL.0000000000004853)
2017
- Berghuis, B. et al. 2017. Carbamazepine- and oxcarbazepine-induced hyponatremia in people with epilepsy.. Epilepsia 58(7), pp. 1227-1233. (10.1111/epi.13777)
- Langley, S. R. et al. 2017. Extracellular matrix proteomics identifies molecular signature of symptomatic carotid plaques.. Journal of Clinical Investigation 127(4), pp. 1546–1560. (10.1172/JCI86924)
- Rackham, O. J. L. et al. 2017. A Bayesian approach for analysis of whole-genome Bisulfite sequencing data identifies disease-associated changes in DNA Methylation.. Genetics 205(4), pp. 1443–1458. (10.1534/genetics.116.195008)
- Kumar Srivastava, P. et al. 2017. Genome-wide analysis of differential RNA editing in epilepsy.. Genome Research 27(3), pp. 440-450. (10.1101/gr.210740.116)
- Rackham, O. J. L. et al. 2017. A Bayesian approach for analysis of whole-genome bisulphite sequencing data identifies disease-associated changes in DNA methylation. [Online]. BioRXiv. (10.1101/041715) Available at: https://doi.org/10.1101/041715
2016
- Delahaye-Duriez, A. et al. 2016. Rare and common epilepsies converge on a shared gene regulatory network providing opportunities for novel antiepileptic drug discovery.. Genome Biology 17, article number: 245. (10.1186/s13059-016-1097-7)
- Gomes, R. S. et al. 2016. "Young at heart": regenerative potential linked to immature cardiac phenotypes.. Journal of Molecular and Cellular Cardiology 92, pp. 105-108. (10.1016/j.yjmcc.2016.01.026)
- Johnson, M. R. et al. 2016. Systems genetics identifies a convergent gene network for cognition and neurodevelopmental disease.. Nature Neuroscience 19, pp. 223-232. (10.1038/nn.4205)
- Kaudewitz, D. et al. 2016. Association of MicroRNAs and YRNAs with platelet function.. Circulation Research 118(3), pp. 420-432. (10.1161/CIRCRESAHA.114.305663)
- Zampetaki, A. et al. 2016. Angiogenic microRNAs Linked to Incidence and Progression of Diabetic Retinopathy in Type 1 Diabetes.. Diabetes 65(1), pp. 216-227. (10.2337/db15-0389)
2015
- Langley, S. R. and Mayr, M. 2015. Comparative analysis of statistical methods used for detecting differential expression in label-free mass spectrometry proteomics.. Journal of Proteomics 129, pp. 83-92. (10.1016/j.jprot.2015.07.012)
- Roncon, P. et al. 2015. MicroRNA profiles in hippocampal granule cells and plasma of rats with pilocarpine-induced epilepsy--comparison with human epileptic samples.. Scientific Reports 5, article number: 14143. (10.1038/srep14143)
- Johnson, M. R. et al. 2015. Systems genetics identifies Sestrin 3 as a regulator of a proconvulsant gene network in human epileptic hippocampus.. Nature Communications 6, article number: 6031. (10.1038/ncomms7031)
2014
- Johnson, M. D. et al. 2014. Genetic analysis of the cardiac methylome at single nucleotide resolution in a model of human cardiovascular disease.. Plos Genetics 10(12), article number: e1004813. (10.1371/journal.pgen.1004813)
- Cuello, F. et al. 2014. Redox state of pentraxin 3 as a novel biomarker for resolution of inflammation and survival in sepsis.. Molecular & cellular proteomics : MCP 13(10), pp. 2545-2557. (10.1074/mcp.M114.039446)
- Zampetaki, A. et al. 2014. Role of miR-195 in aortic aneurysmal disease.. Circulation Research 115(10), pp. 857-866. (10.1161/circresaha.115.304361)
- Goedeke, L. et al. 2014. Long-term therapeutic silencing of miR-33 increases circulating triglyceride levels and hepatic lipid accumulation in mice.. EMBO Molecular Medicine 6(9), pp. 1133-1141. (10.15252/emmm.201404046)
- Stegemann, C. et al. 2014. Lipidomics profiling and risk of cardiovascular disease in the prospective population-based Bruneck study.. Circulation Research 129(18), pp. 1821-1831. (10.1161/circulationaha.113.002500)
- Beyer, C. et al. 2014. Signature of circulating microRNAs in osteoarthritis.. Annals of the Rheumatic Diseases 74(3) (10.1136/annrheumdis-2013-204698)
2013
- Abonnenc, M. et al. 2013. Extracellular matrix secretion by cardiac fibroblasts: role of microRNA-29b and microRNA-30c.. Circulation Research 113(10), pp. 1138-1147. (10.1161/circresaha.113.302400)
- Langley, S. R. et al. 2013. Systems-level approaches reveal conservation of trans-regulated genes in the rat and genetic determinants of blood pressure in humans.. Cardiovascular Research 97(4), pp. 653-665. (10.1093/cvr/cvs329)
- Langley, S. R., Dwyer, J., Drozdov, I., Yin, X. and Mayr, M. 2013. Proteomics: from single molecules to biological pathways.. Cardiovascular Research 97(4), pp. 612-622. (10.1093/cvr/cvs346)
- Yin, X. et al. 2013. Effects of perhexiline-induced fuel switch on the cardiac proteome and metabolome.. Journal of Molecular and Cellular Cardiology 55, pp. 27-30. (10.1016/j.yjmcc.2012.12.014)
- Stegemann, C., Didangelos, A., Barallobre-Barreiro, J., Langley, S. R., Mandal, K., Jahangiri, M. and Mayr, M. 2013. Proteomic identification of matrix metalloproteinase substrates in the human vasculature.. Circulation. Cardiovascular genetics 6(1), pp. 106-117. (10.1161/circgenetics.112.964452)
- Willeit, P. et al. 2013. Circulating microRNAs as novel biomarkers for platelet activation.. Circulation Research 112(4), pp. 595-600. (10.1161/circresaha.111.300539)
2011
- Lin, B. et al. 2011. Determining signalling nodes for apoptosis by a genetic high-throughput screen. Plos One 6(9), article number: e25023. (10.1371/journal.pone.0025023)
- Bottolo, L. et al. 2011. ESS++: a C++ objected-oriented algorithm for Bayesian stochastic search model exploration.. Bioinformatics 27(4), pp. 587-588. (10.1093/bioinformatics/btq684)
2010
- Heinig, M. et al. 2010. A trans-acting locus regulates an anti-viral expression network and type 1 diabetes risk.. Nature 467, pp. 460-464. (10.1038/nature09386)
- Petretto, E. et al. 2010. New insights into the genetic control of gene expression using a Bayesian multi-tissue approach.. PLoS Computational Biology (10.1371/journal.pcbi.1000737)
2008
- Stylianou, I. M., Langley, S. R., Walsh, K., Chen, Y., Revenu, C. and Paigen, B. 2008. Differences in DBA/1J and DBA/2J reveal lipid QTL genes.. Journal of Lipid Research 49(11), pp. 2402-2413. (10.1194/jlr.M800244-JLR200)
Articles
- Lai, K. O. et al. 2025. Age-dependent regulation of hippocampal inflammation by the mitochondrial translocator protein in mice. Aging Cell
- Zalivina, I. et al. 2023. Inhibition of miR-199a-3p in a murine hypertrophic cardiomyopathy (HCM) model attenuates fibrotic remodeling. Journal of Molecular and Cellular Cardiology Plus 6, article number: 100056. (10.1016/j.jmccpl.2023.100056)
- Utami, K. H. et al. 2023. Dysregulated COMT expression in fragile X syndrome. NeuroMolecular Medicine 25(4), pp. 644-649. (10.1007/s12017-023-08754-1)
- Tano, V., Utami, K. H., Yusof, N. A. B. M., Bégin, J., Tan, W. W. L., Pouladi, M. A. and Langley, S. R. 2023. Widespread dysregulation of mRNA splicing implicates RNA processing in the development and progression of Huntington's disease. EBioMedicine 94, article number: 104720. (10.1016/j.ebiom.2023.104720)
- Fairley, L. H. et al. 2023. Mitochondrial control of microglial phagocytosis by the translocator protein and hexokinase 2 in Alzheimer's disease. Proceedings of the National Academy of Sciences 120(8), article number: e2209177120. (10.1073/pnas.2209177120)
- Tham, N. and Langley, S. R. 2022. Evaluating the robustness of connectivity methods to noise for in silico drug repurposing studies. Frontiers in Systems Biology 2, article number: 1050730. (10.3389/fsysb.2022.1050730)
- Ziaei, A. et al. 2022. Ermin deficiency leads to compromised myelin, inflammatory milieu, and susceptibility to demyelinating insult. Brain Pathology 32(5), article number: e13064. (10.1111/bpa.13064)
- Bao, X. et al. 2022. Molecular subgroups of intrahepatic cholangiocarcinoma discovered by single-cell RNA sequencing–assisted multiomics analysis. Cancer Immunology Research 10(7), pp. 811–828. (10.1158/2326-6066.CIR-21-1101)
- Chothani, S. P. et al. 2022. A high-resolution map of human RNA translation. Molecular Cell 82(15), pp. 2885-2899. (10.1016/j.molcel.2022.06.023)
- Basnakova, A. et al. 2021. The habenula clock influences response to a stressor. Neurobiology of Stress 15, article number: 100403. (10.1016/j.ynstr.2021.100403)
- Trott, J. et al. 2020. Mitchell-Riley syndrome iPSC exhibit reduced pancreatic endoderm differentiation due to an RFX6 mutation. Development 147(21) (10.1242/dev.194878)
- Laaniste, L. et al. 2019. Integrated systems-genetic analyses reveal a network target for delaying glioma progression.. Annals of Clinical and Translational Neurology 6(9), pp. 1616-1638. (10.1002/acn3.50850)
- Chothani, S. et al. 2019. Widespread translational control of fibrosis in the human heart by RNA-binding proteins.. Circulation 140(11), pp. 937-951. (10.1161/CIRCULATIONAHA.119.039596)
- Bardile, C. F. et al. 2019. Intrinsic mutant HTT-mediated defects in oligodendroglia cause myelination deficits and behavioral abnormalities in Huntington disease. Proceedings of the National Academy of Sciences of the United States of America 116(19), pp. 9622-9627. (10.1073/pnas.1818042116)
- Tan, A. L. M. et al. 2019. Ethnicity-specific skeletal muscle transcriptional signatures and their relevance to insulin resistance in Singapore.. The Journal of Clinical Endocrinology & Metabolism 104(2), pp. 465-486. (10.1210/jc.2018-00309)
- Ooi, J. et al. 2019. Unbiased profiling of Isogenic Huntington Disease hPSC-Derived CNS and peripheral cells reveals strong cell-type specificity of CAG length effects. Cell Reports 26(9), pp. 2494-2508. (10.1016/j.celrep.2019.02.008)
- Barwari, T. et al. 2018. Inhibition of profibrotic microRNA-21 affects platelets and their releasate.. JCI Insight 3(21), article number: e123335. (10.1172/jci.insight.123335)
- May, P. et al. 2018. Rare coding variants in genes encoding GABAA receptors in genetic generalised epilepsies: an exome-based case-control study.. The Lancet. Neurology 17(8), pp. 699-708. (10.1016/s1474-4422(18)30215-1)
- McCormack, M. et al. 2018. Genetic variation in CFH predicts phenytoin-induced maculopapular exanthema in European-descent patients.. Neurology 90(4), pp. e332-e341. (10.1212/WNL.0000000000004853)
- Berghuis, B. et al. 2017. Carbamazepine- and oxcarbazepine-induced hyponatremia in people with epilepsy.. Epilepsia 58(7), pp. 1227-1233. (10.1111/epi.13777)
- Langley, S. R. et al. 2017. Extracellular matrix proteomics identifies molecular signature of symptomatic carotid plaques.. Journal of Clinical Investigation 127(4), pp. 1546–1560. (10.1172/JCI86924)
- Rackham, O. J. L. et al. 2017. A Bayesian approach for analysis of whole-genome Bisulfite sequencing data identifies disease-associated changes in DNA Methylation.. Genetics 205(4), pp. 1443–1458. (10.1534/genetics.116.195008)
- Kumar Srivastava, P. et al. 2017. Genome-wide analysis of differential RNA editing in epilepsy.. Genome Research 27(3), pp. 440-450. (10.1101/gr.210740.116)
- Delahaye-Duriez, A. et al. 2016. Rare and common epilepsies converge on a shared gene regulatory network providing opportunities for novel antiepileptic drug discovery.. Genome Biology 17, article number: 245. (10.1186/s13059-016-1097-7)
- Gomes, R. S. et al. 2016. "Young at heart": regenerative potential linked to immature cardiac phenotypes.. Journal of Molecular and Cellular Cardiology 92, pp. 105-108. (10.1016/j.yjmcc.2016.01.026)
- Johnson, M. R. et al. 2016. Systems genetics identifies a convergent gene network for cognition and neurodevelopmental disease.. Nature Neuroscience 19, pp. 223-232. (10.1038/nn.4205)
- Kaudewitz, D. et al. 2016. Association of MicroRNAs and YRNAs with platelet function.. Circulation Research 118(3), pp. 420-432. (10.1161/CIRCRESAHA.114.305663)
- Zampetaki, A. et al. 2016. Angiogenic microRNAs Linked to Incidence and Progression of Diabetic Retinopathy in Type 1 Diabetes.. Diabetes 65(1), pp. 216-227. (10.2337/db15-0389)
- Langley, S. R. and Mayr, M. 2015. Comparative analysis of statistical methods used for detecting differential expression in label-free mass spectrometry proteomics.. Journal of Proteomics 129, pp. 83-92. (10.1016/j.jprot.2015.07.012)
- Roncon, P. et al. 2015. MicroRNA profiles in hippocampal granule cells and plasma of rats with pilocarpine-induced epilepsy--comparison with human epileptic samples.. Scientific Reports 5, article number: 14143. (10.1038/srep14143)
- Johnson, M. R. et al. 2015. Systems genetics identifies Sestrin 3 as a regulator of a proconvulsant gene network in human epileptic hippocampus.. Nature Communications 6, article number: 6031. (10.1038/ncomms7031)
- Johnson, M. D. et al. 2014. Genetic analysis of the cardiac methylome at single nucleotide resolution in a model of human cardiovascular disease.. Plos Genetics 10(12), article number: e1004813. (10.1371/journal.pgen.1004813)
- Cuello, F. et al. 2014. Redox state of pentraxin 3 as a novel biomarker for resolution of inflammation and survival in sepsis.. Molecular & cellular proteomics : MCP 13(10), pp. 2545-2557. (10.1074/mcp.M114.039446)
- Zampetaki, A. et al. 2014. Role of miR-195 in aortic aneurysmal disease.. Circulation Research 115(10), pp. 857-866. (10.1161/circresaha.115.304361)
- Goedeke, L. et al. 2014. Long-term therapeutic silencing of miR-33 increases circulating triglyceride levels and hepatic lipid accumulation in mice.. EMBO Molecular Medicine 6(9), pp. 1133-1141. (10.15252/emmm.201404046)
- Stegemann, C. et al. 2014. Lipidomics profiling and risk of cardiovascular disease in the prospective population-based Bruneck study.. Circulation Research 129(18), pp. 1821-1831. (10.1161/circulationaha.113.002500)
- Beyer, C. et al. 2014. Signature of circulating microRNAs in osteoarthritis.. Annals of the Rheumatic Diseases 74(3) (10.1136/annrheumdis-2013-204698)
- Abonnenc, M. et al. 2013. Extracellular matrix secretion by cardiac fibroblasts: role of microRNA-29b and microRNA-30c.. Circulation Research 113(10), pp. 1138-1147. (10.1161/circresaha.113.302400)
- Langley, S. R. et al. 2013. Systems-level approaches reveal conservation of trans-regulated genes in the rat and genetic determinants of blood pressure in humans.. Cardiovascular Research 97(4), pp. 653-665. (10.1093/cvr/cvs329)
- Langley, S. R., Dwyer, J., Drozdov, I., Yin, X. and Mayr, M. 2013. Proteomics: from single molecules to biological pathways.. Cardiovascular Research 97(4), pp. 612-622. (10.1093/cvr/cvs346)
- Yin, X. et al. 2013. Effects of perhexiline-induced fuel switch on the cardiac proteome and metabolome.. Journal of Molecular and Cellular Cardiology 55, pp. 27-30. (10.1016/j.yjmcc.2012.12.014)
- Stegemann, C., Didangelos, A., Barallobre-Barreiro, J., Langley, S. R., Mandal, K., Jahangiri, M. and Mayr, M. 2013. Proteomic identification of matrix metalloproteinase substrates in the human vasculature.. Circulation. Cardiovascular genetics 6(1), pp. 106-117. (10.1161/circgenetics.112.964452)
- Willeit, P. et al. 2013. Circulating microRNAs as novel biomarkers for platelet activation.. Circulation Research 112(4), pp. 595-600. (10.1161/circresaha.111.300539)
- Lin, B. et al. 2011. Determining signalling nodes for apoptosis by a genetic high-throughput screen. Plos One 6(9), article number: e25023. (10.1371/journal.pone.0025023)
- Bottolo, L. et al. 2011. ESS++: a C++ objected-oriented algorithm for Bayesian stochastic search model exploration.. Bioinformatics 27(4), pp. 587-588. (10.1093/bioinformatics/btq684)
- Heinig, M. et al. 2010. A trans-acting locus regulates an anti-viral expression network and type 1 diabetes risk.. Nature 467, pp. 460-464. (10.1038/nature09386)
- Petretto, E. et al. 2010. New insights into the genetic control of gene expression using a Bayesian multi-tissue approach.. PLoS Computational Biology (10.1371/journal.pcbi.1000737)
- Stylianou, I. M., Langley, S. R., Walsh, K., Chen, Y., Revenu, C. and Paigen, B. 2008. Differences in DBA/1J and DBA/2J reveal lipid QTL genes.. Journal of Lipid Research 49(11), pp. 2402-2413. (10.1194/jlr.M800244-JLR200)
Websites
- Zhang, J. et al. 2019. Expanded huntingtin CAG repeats disrupt the balance between neural progenitor expansion and differentiation in human cerebral organoids. [Online]. bioRXiv. (10.1101/850586) Available at: https://doi.org/10.1101/850586
- Chothani, S. et al. 2018. Translational control of cardiac fibrosis. [Online]. bioRXiv. (10.1101/451666) Available at: https://doi.org/10.1101/451666
- Rackham, O. J. L. et al. 2017. A Bayesian approach for analysis of whole-genome bisulphite sequencing data identifies disease-associated changes in DNA methylation. [Online]. BioRXiv. (10.1101/041715) Available at: https://doi.org/10.1101/041715
Biography
Education
- PhD, Statistical Genetics and Bioinformatics, Imperial College London, 2008 - 2012
- MSc, Bioinformatics and Theoretical Systems Biology, Imperial College London, 2007 - 2008
- BA, Physics and Mathematical Sciences, Colby College, 2003 - 2007
Previous Positions
- Nanyang Assistant Professor of Computational Biology, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, 2019 - 2023
- Senior Research Fellow, Duke-NUS Medical School Singapore, 2015 - 2018
- Postdoctoral Research Associate, Imperial College London, 2014 - 2015
- Postdoctoral Research Associate, King's College London, 2012 - 2014