Alexandra M. Schmidt

Alexandra M. Schmidt

Professor of Biostatistics

McGill University

Alexandra M. Schmidt is Professor of Biostatistics and holds the endowed University Chair in the Department of Epidemiology, Biostatistics and Occupational Health (EBOH) at McGill University. Currently, she is the Program Director of the Biostatistics Graduate Program.

She is an Elected Fellow of the American Statistical Association (2020) and an Elected Member of the International Statistical Institute (2010). She was awarded the Distinguished Achievement Medal (2017) from the American Statistical Association’s Section on Statistics and the Environment and the Abdel El-Shaarawi Young Investigator Award (2008), from The International Environmetrics Society. She was the 2015 President of the International Society for Bayesian Analysis.

She is a member of the Environmental Epidemiology Research Group of EBOH, of the Quantitative Life Sciences Program (QLS), and Associate Member of the Department of Mathematics and Statistics. Her main areas of research are on the modelling of spatial and spatio-temporal processes under the Bayesian framework.

She is the chair of the local organizing committee of the 2022 ISBA World Meeting, which will be held in Montreal, QC, Canada.

Interests

  • Bayesian Inference
  • Dynamic Models
  • Hierarchical Models
  • Spatial Statistics

Education

  • PhD in Statistics, 2001

    University of Sheffield, UK

  • MSc in Statistics, 1996

    Federal University of Rio de Janeiro, Brazil

  • BSc in Statistics, 1994

    Federal University of Rio de Janeiro, Brazil

List of Publications

Journals

  • Generating Community Measures of Food Purchasing Activities Using Store-Level Electronic Grocery Transaction Records: An Ecological Study in Montreal, Canada, Mamiya, H., Schmidt, A. M., Moodie, E. M., Ma, Y., and Buckeridge, D. L. (2021). To appear in Public Health Nutrition.
  • Spatio-temporal modelling of the first Chikungunya epidemic in an intra-urban setting: the role of socioeconomic status, environment and temperature, Laís P. Freitas, Alexandra M. Schmidt, William Cossich, Oswaldo G. Cruz, and Marilia S. Carvalho (2021). PLOS Neglected Tropical Diseases, 15(6): e0009537.
  • Estimating an individual-level deprivation index for HIV/HCV coinfected persons in Canada, Adam Palayew, Alexandra M. Schmidt, Sahar Saeed, Curtis L Cooper, Alexander Wong, Valérie Martel-Laferrière, Sharon Walmsley, Joseph Cox, and Marina B. Klein (2021). PLOS ONE 16(4): e0249836.
  • Price discounting as a hidden risk factor of energy drink consumption, Hiroshi Mamiya, Erica E. M. Moodie, Alexandra M. Schmidt, Yu Ma, and David Buckeridge (2021). Canadian Journal of Public Health, 112, 638–646.
  • Importation of SARS-CoV-2 following the semaine de relâche and Québec’s COVID-19 burden - a mathematical modeling study, A. Godin, Y. Xia, D.L. Buckeridge, S. Mishra, D. Douwes-Schultz, Y. Shen, M. Lavigne, M. Drolet, A.M. Schmidt, M. Brisson and M. Maheu-Giroux (2021). International Journal of Infectious Diseases, 102, 254–259.
  • On the effects of spatial confounding in hierarchical models, Widemberg S. Nobre, Alexandra M. Schmidt and João B. M. Pereira (2021). International Statistical Review, 89, 302–322.
  • Socioeconomic factors and bacillary dysentery risk in Jiangsu Province, China: a spatial investigation using Bayesian hierarchical models, Sabrina Li, Alexandra M. Schmidt and Susan J. Elliot (2020). International, Journal of Environmental and Health Research, 8, 1–12
  • Flexible spatial covariance functions, Alexandra M. Schmidt and Peter Guttorp (2020). Spatial Statistics - Special Issue on Frontiers in Spatial Research, 37, 100416.
  • Spatial confounding in hurdle multilevel beta models: the case of the Brazilian Mathematical Olympics for public schools, João B. M. Pereira, Widemberg S. Nobre, Igor F. L. Silva and Alexandra M. Schmidt (2020). Journal of the Royal Statistical Society, Series A, 183, 1051–1073.
  • Fluoroquinolone use and seasonal patterns of ciprofloxacin resistance in community-acquired urinary Escherichia coli in a large urban center, Jean-Paul R Soucy, Alexandra M. Schmidt, Caroline Quach and David L Buckeridge (2020). American Journal of Epidemiology, 189, 215–223.
  • Longitudinal evaluation of a household energy package on blood pressure, central hemodynamics, and arterial stiffness in China, Sierra N. Clark, Alexandra M. Schmidt, Ellison M. Carter, James J. Schauer, Xudong Yang, Majid Ezzati, Stella S. Daskalopoulou and Jill Baumgartner (2019). Environmental Research, 177, 108592.
  • An area-level indicator of latent soda demand: Spatial statistical modeling of grocery store transaction data to characterize the nutritional landscape in Montreal, Canada, Hiroshi Mamiya, Alexandra M. Schmidt, Erica E. M. Moodie, Yu Ma and David L. Buckeridge (2019). American Journal of Epidemiology, 188, 1713–1722.
  • Joint modelling of resistance to six antimicrobials in urinary Escherichia coli isolates in Quebec, Canada, Jean-Paul R Soucy, Alexandra M. Schmidt, Charles Frenette, Patrick Dolcé, Alexandre A Boudreault, David L Buckeridge and Caroline Quach (2019). Antimicrobial Agents and Chemotherapy, 63, e02531-18.
  • Bayesian estimation of the average treatment effect on the treated using inverse weighting, Estelina S. Capistrano, Erica E. M. Moodie and Alexandra M. Schmidt (2019). Statistics in Medicine, 38: 2447-2466.
  • Healthcare-associated bloodstream infection trends under a provincial surveillance program, Iman Fakih, Élise Fortin, Marc-André Smith, Alex Carignan, Claude Tremblay, Jasmin Villeneuve, Danielle Moisan, Charles Frenette, Caroline Quach for SPIN-BACTOT and Alexandra M. Schmidt (2019). Infection Control & Hospital Epidemiology, 40, 307–313.
  • Accounting for covariate information in the scale component of spatio-temporal mixing models, Renata S. Bueno, Thaís C. O . Fonseca and Alexandra M. Schmidt (2017). Spatial Statistics, 22, 196-218.
  • Rejoinder to the Discussion of Genton and Hering, and Huerta and Stroud on Spatio-temporal models for skewed processes, Alexandra M. Schmidt, Kelly Gonçalves and Patrícia L. Velozo (2017). Environmetrics, 28:e2411.
  • Spatio-temporal models for skewed processes, Alexandra M. Schmidt, Kelly Gonçalves and Patrícia L. Velozo (2017). Environmetrics (with discussion), 28:e2411.
  • A Hierarchical Mixture Beta Dynamic Model of School Performance in the Brazilian Mathematical Olympiads for Public Schools, Alexandra M. Schmidt, Caroline P. de Moraes and Helio S. Migon (2017) (Invited by the Editor-in-Chief). Chilean Journal of Statistics, 8, 3-24.
  • A nonlinear population Monte Carlo scheme for the Bayesian estimation of parameters of alpha-stable distributions, Eugenia Koblents, Joaquín Míguez, Marco A. Rodríguez and Alexandra M. Schmidt (2016). Computational Statistics and Data Analysis, 95, 57-74.
  • Population counts along elliptical habitat contours: hierarchical modelling using Poisson-lognormal mixtures with nonstationary spatial structure, Alexandra M. Schmidt, Marco A. Rodríguez and Estelina S. Capistrano (with Supplementary Material) (2015). Annals of Applied Statistics, 9, 1372-1393.
  • Modelling categorized levels of precipitation, Patricia L. Velozo, Mariane B. Alves and Alexandra M. Schmidt (2014). Brazilian Journal of Probability and Statistics, 28, 2, 190-208.
  • Accounting for spatially varying directional effects in spatial covariance structures, Joaquim H. Vianna Neto, Alexandra M. Schmidt and Peter Guttorp (2014). Journal of the Royal Statistical Society, Series C (Applied Statistics), 63, 1, 102-122.
  • An efficient sampling scheme for dynamic generalized models, Helio S. Migon, Alexandra M. Schmidt, Romy R. Ravines and João B. M. Pereira (2013). Computational Statistics, 28, 2267-2293.
  • A hierarchical model for aggregated functional data, Ronaldo Dias, Nancy L. Garcia and Alexandra M. Schmidt (2013). Technometrics, 55, 321-334.
  • Covariance structure of spatial and spatio-temporal processes, Peter Guttorp and Alexandra M. Schmidt (2013). WIREs Computational Statistics, 5, 279-287
  • Measuring the vulnerability of the Uruguayan population to vector-borne diseases via spatially hierarchical factor models, Hedibert F.Lopes, Alexandra M. Schmidt, Esther Salazar, Mariana Gómez and Marcel Achcar (2012). Annals of Applied Statistics, 6, 1, 284-303.
  • Evolutionary Markov chain Monte Carlo algorithms for optimal monitoring network designs, Ramiro Ruiz C., Marco A. R. Ferreira and Alexandra M. Schmidt (2012). Statistical Methodology, 9, 185-194.
  • A class of covariate-dependent spatiotemporal covariance functions, Brian J. Reich, Jo Eidvisk, Michele Guindani, Amy J. Nail and Alexandra M. Schmidt (2011). Annals of Applied Statistics, 5 (4), 2425–2447.
  • Spatially varying autoregressive processes, Aline A. Nobre, Bruno Sansó and Alexandra M. Schmidt (2011). Technometrics, 53 (3), 310–321
  • Considering covariates in the covariance structure of spatial processes, Alexandra M. Schmidt, Peter Guttorp and Anthony O’Hagan (2011). Environmetrics, 22, 487-500.
  • Modelling time series of counts in epidemiology Alexandra M. Schmidt and João Batista M. Pereira (2011). International Statistical Review, 79, 48-69.
  • Stochastic search algorithms for optimal monitoring network designs, Ramiro Ruiz C., Marco A. R. Ferreira and Alexandra M. Schmidt (2010). Environmetrics, 21, 102-112.
  • Modelling zero-inflated spatio-temporal processes, Marcus Vinicius Fernandes, Alexandra M. Schmidt and Helio S. Migon (2009). Statistical Modelling, 9(1), 3-25
  • Spatial stochastic frontier models: accounting for unobserved local determinants of inefficiency, Alexandra M. Schmidt, Ajax R. B. Moreira, Steven M. Helfand, and Thais C. O. Fonseca (2009). Journal of Productivity Analysis, 31, 101-112
  • Investigating the sensitivity of Gaussian processes to the choice of their correlation function and prior specifications, Alexandra M. Schmidt, Ma. de Fátima da G. Conceição and Guido A. Moreira (2008). Journal of Statistical Computation and Simulation, 78, 8, 681-699.
  • Bayesian Spatio-temporal models based on discrete convolutions, Bruno Sansó, Alexandra M. Schmidt and Aline A. Nobre (2008). Canadian Journal of Statistics, 36, 239-258.
  • A joint model for rainfall-runoff: the case of Rio Grande Basin, Romy R. Ravines, Alexandra M. Schmidt, Helio S. Migon and Camilo D. Rennó (2008). Journal of Hydrology, 353, 189-200.
  • Spatial modelling of the relative risk of dengue fever in Rio de Janeiro for the epidemic period between 2001 and 2002, Gustavo S. Ferreira and Alexandra M. Schmidt (2006). Brazilian Journal of Probability and Statistics, 20, 1, 29-47.
  • Revisiting distributed lag models through a Bayesian perspective, Romy R. Ravines, Alexandra M. Schmidt and Helio S. Migon (2006). Applied Stochastic Models in Business and Industry, 22, 2, 193-210.
  • Spatio-temporal models for mapping the incidence of malaria in Pará, Aline A. Nobre, Alexandra M. Schmidt and Hedibert F. Lopes (2005). Environmetrics, 16, 291-304.
  • Explaining Species Diversity Through Species Level Hierarchical Modeling, Alan E. Gelfand, Alexandra M. Schmidt, Shanshan Wu, John A. Silander Jr., Andrew Latimer and Anthony G. Rebelo (2005). Journal of the Royal Statistical Society, Series C (Applied Statistics), 54, 1, 1-20.
  • Nonstationary Multivariate Process Modeling through Spatially Varying Coregionalization (with discussion), Alan E. Gelfand, Alexandra M. Schmidt, Sudipto Banerjee and C.F. Sirmans (2004). TEST, 13, 2, 1-50.
  • Bayesian Inference for Nonstationary Spatial Covariance Structures via Spatial Deformations, Alexandra M. Schmidt and Anthony O’Hagan (2003). Journal of the Royal Statistical Society Series B, 65, 3, 743-758.
  • A Bayesian Coregionalization Approach for Multivariate Pollutant Data, Alexandra M. Schmidt and Alan E. Gelfand (2003). Journal of Geophysical Research-Atmospheres, 108.
  • An Adaptive Resampling Scheme for Cycle Estimation, Alexandra M. Schmidt, Dani Gamerman and Ajax R. B. Moreira (1999). Journal of Applied Statistics, 26, 5, 619-641.
  • Hyperparameter Estimation in Forecast Models, Hedibert Freitas Lopes, Ajax R. B. Moreira and Alexandra M. Schmidt (1999). Computational Statistics & Data Analysis, 29, 387-410.
  • Temporal Aggregation in Dynamic Linear Models, Alexandra M. Schmidt and Dani Gamerman (1997). Journal of Forecasting, vol. 16, 293-310.

Book chapters

  • Dynamic models Alexandra M. Schmidt and Hedibert F. Lopes (2019). Handbook of Environmental and Ecological Statistics, pp. 57-80. Chapman & Hall/CRC, editors Alan E. Gelfand, Montserrat Fuentes, Jennifer Hoeting, and Richard Smith.
  • Conditional autoregressive (CAR) model, Alexandra M. Schmidt and Widemberg S. Nobre (2018). In Wiley StatsRef: Statistics Reference Online, editors N. Balakrishnan, T. Colton, B. Everitt, W. Piegorsch, F. Ruggeri and J. L. Teugels.
  • Modelling multivariate counts varying continuously in space, Alexandra M. Schmidt and Marco A. Rodríguez (2011), pp. 611-628 in Bayesian Statistics 9. Oxford: Oxford University Press, editors J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West.
  • Rejoinder to the discussion of Boys, Farrow and German, Alexandra M. Schmidt and Marco A. Rodríguez (2011), pp. 630-638 in Bayesian Statistics 9. Oxford: Oxford University Press, editors J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West.
  • Mapping Malaria in the Amazon Rainforest: a Spatio-Temporal Mixture Model, Alexandra M. Schmidt, Jennifer A. Hoeting, João B. M. Pereira and Pedro P. Vieira (2010), pp. 90-117 in The Oxford Handbook of Applied Bayesian Analysis, eds A. O’Hagan and M. West, Oxford University Press.

Invited Discussions

  • Discussion of “An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differentiation approach”, Alexandra M. Schmidt, Journal of the Royal Statistical Society Series B, 73(4), 423-498
  • Comment on Article by Craigmile et al., (2009) Alexandra M. Schmidt, Bayesian Analysis, 4, 45 - 54.
  • Some Further Aspects of Spatio-Temporal Modeling, (2003) Alexandra M. Schmidt. Discussion of the paper Spatial hierarchical Bayesian models in ecological applications, Antti Penttinen, Fabio Divino and Anne Riiali, in Highly Structured Stochastic Systems, edited by P. Green, N. Hjort and S. Richardson, Oxford University Press.

PhD Thesis

Bayesian Spatial Interpolation of Pollution Monitoring Stations, Alexandra M. Schmidt. Unpublished PhD thesis, Department of Probability and Statistics, University of Sheffield, UK, June 2001.

Research Group

Post-Doc

PhD

Current
  • Tasneem Fatima Alam (Biostatistics, EBOH, McGill University) (with Shirin Golchi)
  • Mariana Carmona Baez (QLS, McGill University)
  • Renaud Alie (Statistics, McGill University) (with David A. Stephens)
  • Victoire Michal (Biostatistics, EBOH, McGill University) (with Jon Wakefield)
  • Dirk Douwes-Schultz (Biostatistics, EBOH, McGill University) Coupled Markov Switching Models for Spatio-temporal Count Data
  • Paritosh Kumar Roy (Biostatistics, EBOH, McGill University) Non-Gaussian spatio-temporal processes
  • Sara Zapata-Marin (QLS, McGill University) Spatial and spatio-temporal models for temporally misaligned environmental processes
Former
  • Widemberg S. Nobre (Department of Statistics, UFRJ, Brazil) (2021) A Bayesian view on causal inference for observational data (with David A. Stephens, Erica E. M. Moodie and, Helio S. Migon)
  • Laís P. Freitas (ENSP, Fiocruz, Brazil) (2020) Environment, space and time: the incidence of dengue, zika and chikungunya in an intra urban scenario (with Marília S. Carvalho and Oswaldo G. Cruz)
  • Hiroshi Mamiya (Epidemiology, EBOH, McGill University) (2020) Advancing community foodscape assessment: characterizing the interaction between people and food environments using grocery point-of-purchase data (with David Buckeridge)
  • Estelina S. M. Capistrano (Department of Statistics, UFRJ, Brazil) (2019) Inference on average treatment effect on the treated from a Bayesian perspective (with Erica E. M. Moodie)
  • Renata Bueno (Department of Statistics, UFRJ, Brazil) (2016) Spatio-temporal models for asymmetric and heavy-tailed processes (with Thais C. O. Fonseca)
  • João Batista M. Pereira (Department of Statistics, UFRJ, Brazil) (2015) Process convolution models for spatially referenced count data (with Marco A. Rodríguez and Bruno Sansó)
  • Josiane da Silva Cordeiro (Department of Statistics, UFRJ, Brazil) (2014) Hierarchical models: applications and extensions (with Helio S. Migon)
  • Patrícia L. Velozo (Department of Statistics, UFRJ, Brazil) (2014) Modeling spatio-temporal asymmetric processes
  • Alexandre Sousa da Silva (Department of Statistics, UFRJ, Brazil) (2012) Spatio-temporal models for temporally aggregated processes
  • Joaquim Henriques Vianna Neto (Department of Statistics, UFRJ, Brazil) (2012) Including covariates in the covariance structure of spatial processes
  • Aline Araújo Nobre (Department of Statistics, UFRJ, Brazil) (2007) Spatially varying AR processes (with Bruno Sansó)
  • Ramiro Ruiz Cárdenas (Department of Statistics, UFRJ, Brazil) (2007) Optimal monitoring network designs (with Marco A. R. Ferreira)
  • Mariana Gómez (ENSP, Fiocruz, Brazil) (2006) Modelling the vulnerability of some cities of Uruguay to dengue fever (with Ulisses Confalonieri)
  • Romy R. Ravines (Department of Statistics, UFRJ, Brazil) (2006) An efficient sampling scheme in generalized dynamic models with applications to transfer function models (with Helio S. Migon)

MSc

Current
Former
  • Tuviere Onookome-Okome (Epidemiology, EBOH, McGill University) (2021) Predicting high-resolution spatial and temporal variations in summer air temperatures to support public health interventions during heat emergencies (with Scott Weichenthal)
  • Robert McTavish (Epidemiology, EBOH, McGill University) (2021) Identification of vulnerable urban areas in Accra, Ghana using census and remote sensing data (with Jill Baumgartner and Brian Robinson)
  • Adam Palayew (Epidemiology, EBOH, McGill University) (2020) Estimation of an individual-level deprivation index in a cohort of HIV/HCV co-infected Canadians and its relationship with health outcomes (with Marina Klein)
  • Qi Zhang (Department of Statistics, Concordia University) (2019) Skewed spatial modeling for arsenic contamination in Bangladesh (with Yogen P. Chaubey)
  • Zayd Omar (Department of Mathematics and Statistics, McGill University) (2019) State-space models with GARCH errors: Application to health data (with David A. Stephens)
  • Widemberg da Silva Nobre (Department of Statistics, UFRJ, Brazil) (2017) Spatial confounding in hierarchical models (with João B. M. Pereira)
  • Ingrid C. Luquett de Oliveira (Department of Statistics, UFRJ, Brazil) (2015) Preferential sampling for discrete spatial processes: the Bernoulli and Poisson cases
  • Caroline Ponce de Moraes (Department of Statistics, UFRJ, Brazil) (2015) An analysis of the performance of Public Schools in the Brazilian Mathematical Olympiads via hierarchical normal and beta models (with Helio S. Migon)
  • Rafael M. Barcellos (Department of Statistics, UFRJ, Brazil) (2014) Multivariate dynamic linear models applied to the oil refining market
  • Estelina S. M. Capistrano (Department of Statistics, UFRJ, Brazil) (2012) A hierarchical model for Lévy stochastic processes (with Marco A. Rodríguez)
  • João B. M. Pereira (Department of Statistics, UFRJ, Brazil) (2010) Models for count data with temporal structure
  • Patricia L. C. Velozo (Department of Statistics, UFRJ, Brazil) (2009) Models for categorical data with temporal structure
  • Josiane da Silva Cordeiro (Department of Statistics, UFRJ, Brazil) (2009) Bayesian inference for deterministic models (with Claudio Struchiner)
  • Leonardo C. da Costa (Department of Statistics, UFRJ, Brazil) (2008) Investigating the inclusion of spatial effects in assymetric models
  • Joaquim H. Vianna Neto (Department of Statistics, UFRJ, Brazil) (2007) A joint model for mean and variance: an application to the estimation problem in small areas (with Fernando A. S. Moura)
  • Carolina P. Ornelas (Department of Statistics, UFRJ, Brazil) (2006) Semi-parametric Bayesian models: an application to environmental problems (with Mariane B. Alves)
  • Marcus V. M. Fernandes (Department of Statistics, UFRJ, Brazil) (2006) Spatio-temporal models for zero-inflated data (with Helio S. Migon)
  • Renata L. Estrella (Department of Statistics, UFRJ, Brazil) (2005) Analysis of spatially misaligned data
  • Gustavo S. Ferreira (Department of Statistics, UFRJ, Brazil) (2004) A spatio-temporal analysis of cases of dengue fever in the city of Rio de Janeiro from 1986 until 2002 (with Dani Gamerman)
  • Aline A. Nobre (Department of Statistics, UFRJ, Brazil) (2003) A spatio-temporal model for the relationship between malaria and rainfall in the state of Pará (with Hedibert Lopes)

Resumé

I joined the Department of Epidemiology, Biostatistics & Occupational Health at McGill University, Montreal, in August 2016. I am Professor of Biostatistics, and currently, hold the endowed University Chair.

Prizes and Awards
  • 2020 Elected Fellow of the American Statistical Association ( ASA)
  • 2018 Excellence in teaching in Epidemiology Core Courses from the Epidemiology, Biostatistics and Occupational Health Student Society (EBOSS)
  • 2017 Distinguished Achievement Medal from the American Statistical Association’s Section on Statistics and the Environment ( ENVR)
  • 2010 Elected Member of the International Statistical Institute ( ISI)
  • 2008 Abdel El-Shaarawi Young Investigator Award, from The International Environmetrics Society ( TIES)
Service
  • 2021-2025 Elected Council Member of the International Statistical Institute ( ISI)
  • 2020-2022 Elected International Rep. to the Board of the American Statistical Association ( ASA)
  • 2019-2021 Elected Regional Rep. of Québec to the Board of Directors of the Statistical Society of Canada ( SSC)
  • 2018-2022 Member of the Mathematics and Statistics Committee of the Natural Sciences and Engineering Research Council of Canada ( NSERC)
  • 2018-2019 Chair-Elect and Chair of the Section on Environmental Sciences of the International Society of Bayesian Analysis ( EnviBayes)
  • 2018-2019 Program Chair Elect and Program Chair of the Section Statistics on the Environment of the American Statistical Association ( ENVR)
  • 2014-2016 President-Elect, President, Past-President of the International Society for Bayesian Analysis ( ISBA)
  • 2014-2016 Vice-Chair of the Mathematics, Probability and Statistics Committee of CAPES
  • 2009-2011 Program Chair of ISBA
  • 2008-2010 President of the Brazilian Chapter ( ISBrA) of ISBA
  • 2007-2009 Elected Board Member of ISBA
Editorships of Journals
Professional Memberships
  • American Statistical Association
  • International Statistical Institute
  • International Society for Bayesian Analysis
  • Statistical Society of Canada
Former Positions
  • 2016-2020 Associate Professor, Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Canada
  • 2012-2016 Professor, Department of Statistics, Federal University of Rio de Janeiro, Brazil
  • 2005-2012 Associate Professor, Department of Statistics, Federal University of Rio de Janeiro, Brazil
  • 2002-2005 Assistant Professor, Department of Statistics, Federal University of Rio de Janeiro, Brazil

Opportunities

No positions available at the moment.

Teaching

I am a teaching instructor for the following courses at the Department of Epidemiology, Biostatistics and Occupational Health at McGill University:

  • BIOS 612 Advanced generalized linear models (Fall 2016, Fall 2017, Fall 2018, Fall 2020)
  • EPIB 621 Data analysis in the health sciences (Winter 2017, Winter 2018)
  • EPIB 675/BIOS 693 Spatial and Spatio-temporal epidemiology (Winter 2019)
  • EPIB679/BIOS 691 Bayesian Analysis in Health Sciences (Fall 2019, Winter 2021)
  • EPIB 677/BIOS 692 Spatial and Spatio-temporal epidemiology (Winter 2020)

Some Personal Information

I was born in Nova Friburgo, in the state of Rio de Janeiro, Brazil. I’m the result of a mixture between a German father and a Brazilian mother. From 1977 until 1987 I studied at Colegio Anchieta. In 1988 I moved from Nova Friburgo to Rio de Janeiro (also known as the Wonderful City) to get ready to start my undergrad studies. I lived in Rio until 1997.

I lived in England from September 1997 until July 2001 to do my PhD under the supervision of Anthony O’Hagan. There, I lived in Nottingham for one year, then I moved to Sheffield. Soon after finishing my PhD I moved to Connecticut in the USA, where I did a Post-Doc with Alan E. Gelfand.

From 2002 until 2016 I lived in Rio de Janeiro, Brazil. In August 2016, I followed my heart and moved to Montreal, QC, Canada.

Contact