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publications
Multiple feedback loops in circadian cycles: robustness and entrainment as selection criteria
Proceedings of the Seventh International Workshop on Computational Systems Biology, WCSB 2010, 2010
M. Hafner, P. Sacré, L. Symul, R. Sepulchre and H. Koeppl.
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Genome-Wide RNA Polymerase II Profiles and RNA Accumulation Reveal Kinetics of Transcription and Associated Epigenetic Changes During Diurnal Cycles
PLoS Biology, 2012
G. Le Martelot*, D. Canella*, L. Symul*, E. Migliavacca* and F. Gilardi et al.
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The Circadian Clock Coordinates Ribosome Biogenesis
PLoS Biology, 2013
C. Jouffe, G. Cretenet, L. Symul, E. Martin and F. Atger et al.
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Non-Circadian Expression Masking Clock-Driven Weak Transcription Rhythms in U2OS Cells
PLoS One, 2014
J. Hoffmann, L. Symul, A. Shostak, T. Fischer, F. Naef and M. Brunner
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Circadian clock –dependent and –independent post-transcriptional regulation underlies temporal mRNA accumulation in mouse liver.
PNAS, 2018
J.Wang*, L. Symul*, C. Gobet, J. Sobel, S. Lück, P. O. Westermark, N. Molina, F. Naef
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FoodRepo: an open database of barcoded food products.
Frontiers in Nutrition, 2018
G. Lazzari, Y. Jaquet, D. Kebaili, L. Symul, M. Salathé
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Predicting pregnancy using large-scale data from a women’s health tracking mobile application.
2019 Web conference short paper; 2018 NeurIPS ML4H poster paper, 2018
B. Liu*, Y. Wu*, S. Shi*, D. Thomas, L. Symul, E. Pierson and J. Leskovec
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Assessment of Menstrual Health Status and Evolution through Mobile Apps for Fertility Awareness.
npj Digital Medicine, 2019
L. Symul, K. Wac, P. Hillard, M. Salathé
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Unmasking Seasonal Cycles in Human Fertility: How holiday sex and fertility cycles shape birth seasonality.
MedRxiv (pre-print) - under review, 2019
L. Symul, P. Hsieh, A. Shea, C.R.C. Moreno, D. Skene, S. Holmes, M.E. Martinez
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As easy as APC: Leveraging self-supervised learning in the context of time series classification with varying levels of sparsity and severe class imbalance.
2021 NeurIPS Self-Supervised Learning workshop, 2021
F. Wever, T.A. Keller, V. Garcia, L. Symul
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Labeling self-tracked menstrual health records with hidden semi-Markov models.
IEEE Journal of Biomedical and Health Informatics, 2021
L. Symul, S. Holmes
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Sub-communities of the vaginal ecosystem in pregnant and non-pregnant women.
bioRxiv (preprint), 2021
L. Symul, P. Jeganathan, E. K. Costello, M. France, S. Bloom, J. Ravel, D. Kwon, D. Relman, S. Holmes
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Multiscale Analysis of Count Data through Topic Alignment.
Biostatistics, 2022
J. Fukuyama*, K. Sankaran*, L. Symul*
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Abrupt perturbation and delayed recovery of the vaginal ecosystem following childbirth
Nature Communications, 2023
E. K. Costello, D. B. DiGiulio, A. Robaczewska, L. Symul, R. J. Wong, G. M. Shaw, D. K. Stevenson, S. P. Holmes, D. S. Kwon & D. A. Relman
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Sub-communities of the vaginal ecosystem in pregnant and non-pregnant women.
Proceedings of the Royal Society B: Biological Sciences, 2023
L. Symul, P. Jeganathan, E. K. Costello, M. France, S. Bloom, J. Ravel, D. Kwon, D. Relman, S. Holmes
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Food & You: A digital cohort on personalized nutrition.
PLOS Digital Health, 2023
H. Héritier, C. Allémann, O. Balakiriev, V. Boulanger, S. F. Carroll, N. Froidevaux, G. Hugon, Y. Jaquet, D. Kebaili, S. Riccardi, G. Rousseau-Leupin, R, M. Salathé, T. Salzmann, R. Singh, L. Symul, E. Ugurlu-Baud, P. de Verteuil, M. Salathé
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talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
BIO 221: Modern Statistics for Modern Biology
Graduate course, Stanford University, 2019
Teaching assistant and co-lecturer for the class.
BIOS 225: Diversity and Inclusion in Science
Graduate course, Stanford University, 2020
[Remote teaching] Teaching assistant for the class. Link to the Stanford course explorer
STATS 110 - Statistical Methods in Engineering and the Physical Sciences
Undergraduate course, Stanford University, 2022
Link to the Stanford course explorer
LBIRA 2110 - Statistical modeling and exploratory analyses of multivariate datasets (Modélisation et exploration des données multivariées)
Graduate course, UCLouvain, 2023
Link to the UCLouvain course explorer
LSTAT 2390 - Applied Statistics Workshop
Graduate course, UCLouvain, 2023
Link to the UCLouvain course explorer
Durban Data Science for Biology Workshop
Graduate course, Durban UKZN, 2023
LSTAT 2340 - Statistical Analysis of -omics Data
Graduate course, UCLouvain, 2024
Link to the UCLouvain course explorer