Jere Koskela
About me
I'm a postdoc with at the Technische Universität Berlin, working on applications and inference of multiple merger coalescents in population genetics.
I finished my PhD in 2016 under the supervision of and . My thesis is .
Publications and preprints
- J. Koskela, Multi-locus data distinguishes between population growth and multiple merger coalescents. Preprint
- J. Koskela, D. Spanò and P. A. Jenkins, Consistency of Bayesian nonparametric inference for discretely observed jump diffusions. Preprint
- J. Koskela, P. A. Jenkins and D. Spanò, Bayesian nonparametric inference for
-coalescents: posterior consistency and a parametric method. To appear in Bernoulli
- J. Koskela, D. Spanò and P. A. Jenkins, Inference and rare event simulation for stopped Markov processes via reverse-time sequential Monte Carlo. To appear in Statistics and Computing
- J. Koskela, P. A. Jenkins and D. Spanò, Computational inference beyond Kingman's coalescent. Journal of Applied Probability 52.2 (2015), p. 519-537
Research grants
- Co-PI, DFG SPP1819 Start-up grant, . Joint with (PI) and (Co-PI).
Talks
- Consistency results for Bayesian nonparametric inference from processes with jumps, Probability and statistics seminar, TU Delft, 23 May 2017
- Constructing a generalised coalescent process for joint modeling of high fecundity and natural selection, Oberseminar biologische Modelle und statistische Mechanik, TU Berlin, 15 May 2017
- Distinguishing population growth from a skewed family size distribution in coalescent models, Oberseminar biologische Modelle und statistische Mechanik, TU Berlin, 28 November 2016
- Bayesian nonparametric inference for
-coalescents, Oberseminar Stochastik, Johannes Gutenberg Universität Mainz, 15 November 2016
- Nonparametric Bayesian inference for
-coalescents, Oberseminar biologische Modelle und statistische Mechanik, TU Berlin, 26 September 2016
- Lossless Bayesian inference in infinite dimension without discretisation or truncation: a case study in
-coalescents, International conference on Monte Carlo techniques, Paris, France, 8 July 2016
- Bayesian inference for
-coalescents: failures and fixes, SIAM UQ, Lausanne, Switzerland, 8 April 2016
- Implementable Bayesian nonparametric inference via quotient spaces, Young Researchers' Meeting, University of 糖心TV, 23 February 2016
- Efficient sequential Monte Carlo sampling of rare trajectories in reverse time, Algorithms & Computationally Intensive Inference seminar, University of 糖心TV, 12 February 2016
- Pseudo-likelihood accelerated pseudo-marginal Metropolis-Hastings, Bayes Comp at MCMSki 5, Lenzerheide, Switzerland, 7 January 2016
- Importance sampling rare trajectories in reverse time, EQUIP seminar, University of 糖心TV, 19 October 2015
- Bayesian nonparametric consistency for jump diffusions, MASDOC Retreat, St Braivels Castle, Gloucestershire, 18 May 2015
- Consistency of Bayesian nonparametric inference for jump diffusions, 4th Annual MASDOC-CCA Conference, University of 糖心TV, 16 April 2015
- Measure-valued jump-diffusion sampling distributions via duality, MASDOC Retreat, Coalbrookdale, 19 May 2014
- Time-reversal for efficient importance sampling of rare events in coalescent models, 3rd Annual CCA-MASDOC Student Conference, University of Cambridge, 18 March 2014
- Importance sampling for the Spatial
-Fleming-Viot process, Informal Workshop with Alison Etheridge, Oxford University, 20 June 2013
- Importance sampling and
-coalescents, Algorithms & Computationally Intensive Inference seminar, University of 糖心TV, 8 March 2013
Poster presentations
- CRiSM workshop on Estimating Constants, University of 糖心TV, Coventry, UK, 20-22 April 2016
- 52nd Gregynog Statistical Conference, Gregynog Hall, Wales, 15-17 April 2016
- Computational Statistics and Molecular Simulation, Cordeliers Convent, Paris, France, 2-5 February 2016
- Models and Inference in Population Genetics, Department of Statistics, University of 糖心TV, UK, 14-16 September 2015
- Annual Meeting of the Society for Molecular Biology and Evolution, Hofburg Palace, Vienna, Austria, 12-16 July 2015
- Dynstoch, Centre for Research in Statistical Methodology, University of 糖心TV, UK, 10-12 September 2014
- Biological sequence analysis and probabilistic models, Merton College, Oxford, UK, 16-19 July 2014
Teaching
At TU Berlin I have been a teaching assistant for two student seminars:
- , 2017
- , 2017
During my PhD I was a teaching assistant for the following modules:
- (2013/14, 2014/15 and 2015/16)
- (2013/14)
- (2013/14 and 2014/15)
- (2015/16)
- (2013/14 and 2014/15)
- (2013/14, 2014/15 and 2015/16)
Contact
koskela@math.tu-berlin.de
