Professor Bärbel Finkenstädt Rand
Office hours Term 2
Please book by 18:00 on the day before, otherwise the meeting is likely to be on MS Teams.
You will find availability during the following times:Tuesdays 12:00 - 13:00
Note: meetings are in-person, Room MSB1.20.
Research Interests:
My research focuses on developing statistical and machine learning methodologies—including Bayesian, parametric, and non-parametric approaches—as well as filtering techniques for State Space and Hidden Markov Models. I work on change point detection, dynamic regime transitions, spectral analysis, and other innovative methods for modeling temporal oscillatory phenomena.
My goal is to create data-driven methodologies that generate meaningful insights in the biomedical sciences. I am particularly interested in modeling oscillatory and pulsatile dynamics—such as those found in epidemics, gene expression, and molecular clocks—and developing inference techniques for temporal and spatio-temporal data across scales, from single cells to meta-populations. My past work spans epidemiology (infectious disease dynamics), analytical population ecology, and transcriptional dynamics in molecular genetics.
Current Focus:
I am now exploring large-scale physiological and actigraphic datasets from wearable sensors. In collaboration with the Chronotherapy Group at 91福利 and Universit茅 Paris-Saclay, we are developing statistical methods to estimate parameters that quantify circadian rhythm stability and compute individual circadian phase. This work supports personalized medicine for cancer patients by optimizing therapy timing based on telemonitored circadian biomarkers. Beyond oncology, these methods have broad applications in diseases where circadian-aligned treatment and continuous health monitoring are beneficial.
Selected publications and preprints (since 2015)
Chen, S., & Finkenst盲dt, B. (2023). Bayesian Spline-Based Hidden Markov Models with Applications to Actimetry Data and Sleep Analysis. , 119(548), 2833–2843. https://doi.org/10.1080/01621459.2023.2279707
Zhang, Y, Komarzynski, S, Cordina-Duverger, E, Attari, A, Huang, Q, Aristizabal, A, Faraut, B, L茅ger, D, Adam, R, Gu茅nel, P, Brettschneider, J, Finkenst盲dt, B and L茅vi, FA, : eBioMedicine, Volume 81, July 2022.
Ali, M, Dupr猫s, A, Huang, Q, Attari, A, Dulong, S, Li, XM, Bossevot-Demaris, R, Bouchahda, M, Komarzynski, S, Finkenst盲dt, B, Fritsch,A, Breda, G, L茅vi, F, A Comprehensive Internet-Of-Things (IoT) platform for precision health care and chronotherapy in remote monitoring of patients with chronic diseases, under review (IEEE Journal of Biomedical and Health Informatics).
Dulong S, Huang Q, Innominato P F, Karaboue A, Bouchahda M, Pruvost A, Th茅odoro F, Agrofoglio L A, Adam R, Finkenst盲dt B and L茅vi F, , Scientific Reports 11, Article number: 24015, 2021.
Mans Unosson, Marco Brancaccio, Michael Hastings, Adam M. Johansen, Barbel Finkenstadt, , Plos Computational Biology 17 (12), 2021.
Huang Q, Komarzynski S, Bolborea M, Finkenstadt B, L茅vi F, , Frontiers in Physiology, 2021.
Hadj-Amar, B, Finkenstadt, B, Fiecas, M, Huckstepp, R, , Annals of Applied Statistics 15(3): 1171-1193 (September 2021). DOI: 10.1214/21-AOAS1455
Transcription factor Pit-1 affects transcriptional timing in the dual-promoter human prolactin gene, Endocrinology, 2021,
Cavallaro, M, Walsh, M, Jones, M,Teahan, J, Tiberi, S, Finkenst盲dt, B and Hebenstreit, D, , Genome Biology, 2021.
L茅vi, F, Komarzynski, S, Huang, Q, Young, T, Ang, Y, Fuller, C, Bolborea, M, Brettschneider, J, Finkenst盲dt, B, Fursse, J, White, DP, and PF Innominato, Tele-monitoring of cancer patients' rhythms during daily life identifies actionable determinants of circadian and sleep disruption, Cancers, 2020, 12(7).
Touloupou, P, Finkenst茫dt, B, Besser, TE, French, NP, and Spencer, SEF, , Annals of Applied Statistics, 2020, 14 (4), 1925-1944.
Touloupou, P, Finkenst盲dt, B and Spencer SEF (2019), , Journal of Computational and Graphical Statistics, 2019.
Hadj-Amar, B., Finkenst盲dt, B., Fiecas, M., L茅vi, F. & Huckstepp, R. (2019), , Journal of the American Statistical Association, 2019.
Komarzynski, S, Bolborea, M, Huang, Q, Finkenst盲dt, B, L茅vi, F (2019), , Journal of Clinical Investigation (JCI) - Insight, 2019.
Momiji, H, Hassall, K, Featherstone, K, McNamara, AV, Patist, AL, Spiller, DG, White, MRH, Davis, JRE, Finkenst盲dt, B, Rand, DA (2019), , Plos Computational Biology, 2019.
Calderazzo, S, Brancaccio, M and Finkenst盲dt, B (2019), , Bioinformatics, 2019.
Tiberi, S, Walsh, M, Cavallaro, M, Hebenstreit, D and Finkenst盲dt, B (2018), , Bioinformatics, 2018.
Komarzynski S, Huang Q, Innominato PF, Maurice M, Arbaud A, Beau J, Bouchahda M, Ulusakarya A, Beaumatin N, Virasolvy F, Breda G, Finkenst盲dt B and L茅vi F (2018), , Journal of Medical Internet Research 2018.
Huang, Q, Cohen, D, Komarzynski, S, Li, XM, Innominato, P, L茅vi, F and Finkenst盲dt, B (2018), , Journal of the Royal Society - Interface, 2018.
Dunham, L, Momiji, H, Harper, C, Hey, K, McNamara, A, Featherstone, K, Spiller, D, Rand, D, Finkenst盲dt, B, White, M, Davis, J (2017), , Cell Systems 2017.
Minas, G, Jenkins, D, Rand, DA and Finkenst盲dt B (2017), Bioinformatics, 2017.
Minas, G, Momiji, H, Jenkins, D, Costa, MJ, Rand, DA and Finkenst盲dt B (2017), , BMC Bioinformatics, 2017.
Bechtold, U, Penfold, C, et al., The Plant Cell, 2016.
Featherstone, K, Hey, K, Momiji, H, McNamara, AV, Patist, AL, Woodburn, J, Spiller, DG, Christian, HC, McNeilly, AS, Mullins, JJ, Finkenst盲dt BF, Rand, DA, White, MRH, Davis, JRE, eLife, 2015.
Hey, K, Momiji, H, Featherstone K, Davis J, White M, Rand D, Finkenst盲dt B, , Biostatistics, 2015.
