Dr. Oswaldo Gressani

Personal data

• First name: Oswaldo
• Last name: Gressani
• Date of birth: 09/06/1989
• Place of birth: Luxembourg
• Nationality: France, Luxembourg

Links

• https://github.com/oswaldogressani
•     0000-0003-4152-6159
•     @OswaldoGressani
• www.epilps.com

Education

• 2011   Bachelor in Economics, University of Luxembourg, very good.
• 2013   Master in Econometrics, Université catholique de Louvain, magna cum laude.
• 2015   Master in Statistics, Université catholique de Louvain, magna cum laude.
• 2019   Master in Biostatistics, Université catholique de Louvain, magna cum laude.
• 2020   PhD in Statistics, "Laplace Approximations and Bayesian P-splines for Statistical Inference", under the supervision of Prof. Dr. Philippe Lambert, Université catholique de Louvain. View PhD thesis  
• 2020-   Postdoctoral researcher, Data Science Institute, Hasselt University.

Publications

1. Gressani, O. and Lambert, P. (2018). Fast Bayesian inference using Laplace approximations in a flexible promotion time cure model based on P-splines. Computational Statistics and Data Analysis, 124, 151-167. doi.org/10.1016/j.csda.2018.02.007
   View pdf Code
   
2. Gressani, O. and Lambert, P. (2021). Laplace approximations for fast Bayesian inference in generalized additive models based on P-splines. Computational Statistics and Data Analysis, 154, 107088. doi.org/10.1016/j.csda.2020.107088 View pdf  
3. Gressani, O., Faes, C. and Hens, N. (2022). Laplacian-P-splines for Bayesian inference in the mixture cure model. Statistics in Medicine, 41(14), 2602-2626. doi.org/10.1002/sim.9373
4. Gressani, O., Faes, C. and Hens, N. (2021). An approximate Bayesian approach for estimation of the reproduction number under misreported epidemic data. MedRxiv preprint. doi.org/10.1101/2021.05.19.21257438
5. Gressani, O., Wallinga, J., Althaus, C., Hens, N. and Faes, C. (2021). EpiLPS: a fast and flexible Bayesian tool for near real-time estimation of the time-varying reproduction number. MedRxiv preprint. https://doi.org/10.1101/2021.12.02.21267189.
   EpiLPS is integrated in the UHasselt dashboard to compute daily Rt values for Belgium.
6. Vandendijck, Y., Gressani, O., Faes, C., Camarda, C.G. and Hens, N. (2022). Cohort-based smoothing methods for age-specific contact rates. BioRxiv preprint. doi.org/10.1101/290551

Discussion papers

1. Gressani, O. (2015). Endogeneous Quantal Response Equilibrium for Normal Form Games. CREA discussion papers, University of Luxembourg. wwwen.uni.lu/content/download/86130
2. Gressani, O. and Lambert, P. (2020). The Laplace-P-spline methodology for fast approximate Bayesian inference in additive partial linear models. ISBA Discussion papers, Université catholique de Louvain. hdl.handle.net/2078.1/230728

Software

1. Gressani, O. and Lambert, P. (2020). The blapsr package for fast inference in latent Gaussian models by combining Laplace approximations and P-splines. CRAN. CRAN.R-project.org/package=blapsr
2. Gressani, O. (2021). A package for approximate Bayesian inference in mixture cure models with Laplacian-P-splines (Version 1.1.1). https://github.com/oswaldogressani/mixcurelps
3. Gressani, O. (2021). EpiLPS: A Bayesian Tool for Near Real-Time Estimation of the Reproduction Number. CRAN. https://cran.r-project.org/package=EpiLPS

Conferences and Visits

1. 16th Annual Conference of Public Economic Theory, Luxembourg, 02-04 July 2015: 'Endogeneous Quantal Response Equilibrium in Normal Form Games' (Contributed talk).
2. 37th Annual Conference of the International Society for Clinical Biostatistics; Birmingham (UK), 21-25 August 2016: 'Approximate Bayesian methods in cure survival models: Coupling P-splines with Laplace approximations for fast inference' (Contributed talk).
3. Visiting researcher at Basque Center for Applied Mathematics (BCAM); Bilbao (Spain), 10-13 December 2017.
4. Survival Analysis for Junior Researchers (SAfJR) conference, Leiden (The Netherlands), 24-26 April 2018: 'P-splines and Laplace approximations for fast Bayesian inference in a flexible promotion time cure model' (Poster presentation).
5. International Society for Bayesian Analysis (ISBA) World Meeting, Edinburgh (UK), 24-29 June 2018: 'Merging Markov chain Monte Carlo with Laplace approximations for fast inference in Generalized additive models' (Poster presentation).
6. 26th Annual Meeting of the Royal Statistical Society of Belgium (RSSB), Ovifat (Belgium), 17-19 October 2018: 'Bridging the gap between Bayesian P-splines and Laplace’s method for inference in Generalized additive models' (Contributed talk).
7. 40th Annual Conference of the International Society for Clinical Biostatistics (ISCB), Leuven (Belgium), 14-18 July 2019: 'Unifying Laplace’s method and Bayesian penalized regression splines for estimation in generalized additive models' (Contributed talk).
8. Invited talk at the Statistics Seminar of the Institut de Mathématiques de Marseille I2M (France), 7 December 2020: 'Laplace-P-splines for approximate Bayesian inference'.
9. 42nd Annual Conference of the International Society for Clinical Biostatistics (ISCB), Lyon (France), 18-22 July 2021: 'Laplace approximations for fast Bayesian inference of the time-varying reproduction number under misreported epidemic data' (Contributed talk).
10. 28th Annual Meeting of the Royal Statistical Society of Belgium (RSSB), Liège (Belgium), 21-22 October 2021: 'The EpiLPS project: a new Bayesian tool for estimating the time-varying reproduction number' (Contributed talk). Slides: Github/oswaldogressani/EpiLPS
11. Data Science Institute (DSI) Seminar, Hasselt University, (Belgium), 22 June 2022: 'The power of Laplacian-P-splines'.

Awards and Honors

• 2014-2015   AFR grant from the National Research Fund Luxembourg.
• 2014-2015   Top of the class in the research Master in Statistics (Université catholique de Louvain).
• 2015-2016   Coordinated Research projects grant (ARC), Belgium.