Jere Koskela
Reader In Statistics
Newcastle upon Tyne, England, United Kingdom
Summary
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Senior🎓
Top SchoolJere Koskela is a Reader in Statistics at Newcastle University with 11 years of experience bridging theoretical probability and practical inference for stochastic processes. His research spans Monte Carlo methods, Bayesian nonparametrics, coalescent processes and mathematical population genetics, with a particular emphasis on inference when likelihoods are intractable. He progressed through academic ranks at Warwick and spent a postdoc in Berlin, combining deep probabilistic theory with computational methods. Jere’s background in operational research, actuarial mathematics and quantitative risk from internships adds an applied, risk-aware perspective to his work. He maintains an active research profile that blends methodological innovation with real-world problems in population genetics and stochastic modelling.
10 years of coding experience
7 years of employment as a software developer
IB Diploma, 40/45, IB Diploma, 40/45 at Tampereen Lyseon LukioDoctor of Philosophy (PhD), Mathematics and Statistics, Doctor of Philosophy (PhD), Mathematics and Statistics at University of Warwick
Github Skills (25)
genetics10
simulation10
simulate10
python10
genetic10
bioinformatics10
genomics10
sequence10
slim6
continuum6
population-genetics4
systems-biology4
sbml3
evolution3
spatial3
Programming languages (4)
Github contributions (5)
JereKoskela/Beta-Xi-Sim
Oct 2017 - Aug 2021
Contributions:47 commits, 47 pushes, 1 branch in 3 years 10 months
JereKoskela/msprime
Feb 2018 - Aug 2024
A reimplementation of Hudson's classical ms simulator for modern data sets.
Contributions:8 PRs, 160 pushes, 13 branches in 6 years 6 months
simulatordata-setsreimplementationsimulation
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