Jobs
- I will be hiring a new PhD student in Statistics and Actuarial Science to start in Fall 2019. If you have experience in biostatistics and machine learning, please apply here.
Teaching
- STAT440 E100. Learning from Big Data. Fall 2018.
Publications §
- L.T. Elliott, K. Sharp, F. Alfaro-Almagro, S. Shi, K.L. Miller, G. Douaud, J. Marchini, S. Smith. Genome-wide association studies of brain imaging phenotypes in UK Biobank. 2018. Nature. 562(7726). p210-216.
- C. Bycroft, C. Freeman, D. Petkova, G. Band, L.T. Elliott, K. Sharp, A. Motyer, D. Vukcevic, O. Delaneau, J. O'Connell, A. Cortes, S. Welsh, A. Young, M. Effingham, G. McVean, S. Leslie, N. Allen, P. Donnelly, J. Marchini. The UK Biobank resource with deep phenotyping and genomic data. 2018. Nature. 526(7726). p203-209.
- S. Schwab, R. Harbord, V. Zerbi, L.T. Elliott, S. Afyouni, J.Q. Smith, M.W. Woolrich, S.M. Smith and T.E. Nichols. Directed functional connectivity using dynamic graphical models. 2018. NeuroImage. 175. p340-53.
- L.T. Elliott, M. De Iorio, S. Favaro, K. Adhikari, Y.W. Teh. Modeling population structure under hierarchical Dirichlet processes. 2018. Bayesian Analysis. Advanced publication. Code.
- L.T. Elliott, Y.W. Teh. A nonparametric HMM for genetic imputation and coalescent inference. 2016. Electronic Journal of Statistics. 10(2). p3425-51. Code.
- L.T. Elliott. Bayesian nonparametric models of genetic variation. 2016. PhD Thesis, University College London.
- L.T. Elliott, Y.W. Teh. Scalable imputation of genetic data with a discrete fragmentation-coagulation process. 2012. Proceedings of the 26th Conference on Neural Information Processing Systems.
- R.M. Cichy, P. Sterzer, J. Heinzle, L.T. Elliott, F. Ramirez, J.D. Haynes. Probing principles of large-scale object representation: Category preference and location encoding. 2012. Human Brain Mapping. 34(7). p1636-51.
- I. Murray, L.T. Elliott. Driving Markov chain Monte Carlo with a dependent random stream. 2012. ArXiv preprint 1204.3187. Code.
- Y.W. Teh, C. Blundell, L.T. Elliott. Modelling genetic variations using fragmentation-coagulation Processes. 2011. Proceedings of the 25th Conference on Neural Information Processing Systems.
- Y. Chen, P. Namburi, L.T. Elliott, J. Heinzle, C. Soon, M. Chee, J.D. Haynes. Cortical surface-based searchlight decoding. 2010. NeuroImage. 56(2). p582-92.
Collaborations
Jonathan Marchini, Steve Smith, Andy Dahl, Victoria Hore, Kevin Sharp, Winnie Kretzschmar, Yee Whye Teh, Stefano Favaro, Maria De Iorio, Derek Aguiar and Barbara Engelhardt. Oxford BigBayes, Swhere Inc.
Contact info
t: Vancouver: +1（604）442 ᐧ 4783, New York: +1（347）796 ᐧ 4389
e: lloyd ᐧ elliott ᘒ sfu ᐧ ca
a: Department of Statistics and Actuarial Science, Simon Fraser University,
8888 University Drive, Burnaby, BC, Canada, V5A 1S6
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