Lewis Rendell
I am a third-year PhD student in Statistics, working under the supervision of Dr Adam Johansen and Dr Anthony Lee. My research interests lie in Monte Carlo methodology; I am currently working problems relating to tuning Sequential Monte Carlo samplers, and on Monte Carlo algorithms in distributed settings.
Warwick PhD statistics students: I am currently the chair of the Student–Staff Liaison Committee (SSLC). If you have any concerns or queries regarding teaching, learning or student support, please do not hesitate to contact me (or Anne, the secretary).
Talks and posters
- 26th March 2018: 'Global consensus Monte Carlo' (poster).
Bayes Comp 2018, Barcelona, Spain. - 17th January 2018: 'S3 classes: object-oriented programming in R' (short talk) [video; material].
Warwick R User Group, University of Warwick. - 3rd November 2017: 'Global consensus Monte Carlo' (short talk).
Algorithms & Computationally Intensive Inference seminar series, University of Warwick. - 31st August 2017: 'Global consensus Monte Carlo' (poster).
SMC Workshop 2017, Uppsala, Sweden. - 11th May 2017: 'Unit testing and continuous integration' (talk) [slides].
Warwick R User Group, University of Warwick. - 6th March 2017: 'Principal components regression, partial least squares, and least angle regression' (talk).
Statistical Machine Learning Reading Group, University of Warwick. - 19th January 2017: 'Cleverly copying commands from the console' (short talk) [GitHub: ccopy package].
Warwick R User Group, University of Warwick.
- 14th June 2016: 'Temperature schedule selection for Sequential Monte Carlo samplers' (talk).
Young Researchers' Meeting, University of Warwick. - 6th May 2016: 'Temperature schedule selection for Sequential Monte Carlo samplers' (talk).
Algorithms & Computationally Intensive Inference seminar series, University of Warwick.
Teaching
- 2016–2017, 2017–2018 (Term 2): Mathematical Statistics B (ST219, tutorials).
- 2016–2017, 2017–2018 (Term 1): Mathematical Statistics A (ST218, tutorials).
- 2015–2016 (Term 2): Probability A & B (ST111/ST112, tutorials).
