Jonathan Koh Boon Han
jonathan.koh@epfl.ch +41 21 693 55 03
EPFL SB MATH STAT
MA B1 433 (Bâtiment MA)
Station 8
CH-1015 Lausanne
Web site: Web site: https://stat.epfl.ch/
Web site: Web site: https://go.epfl.ch/edma
Biography
My broad research focus is on Extreme Value Theory (EVT), a branch of probability and statistics that deals with the analysis of extreme and rare events. My narrower research interest lies in the intersection of EVT, spatial statistics and Bayesian statistics.
I am currently a third-year PhD candidate at EPFL under the supervision of Prof. Anthony Davison.
I am currently a third-year PhD candidate at EPFL under the supervision of Prof. Anthony Davison.
Teaching Assistantships
2020
- Main teaching assistant for "Bayesian Computation", Master course for MA by Dr. G. Dehaene
2019
- Main teaching assistant for "Statistical Machine Learning", Master course for MA by Dr. G. Dehaene & Dr. G. Obozinski
- Main teaching assistant for "Bayesian Computation", Master course for MA by Dr. G. Dehaene
2018
- Main teaching assistant for "Statistical Machine Learning", Master course for MA by Dr. E. Thibaud
- Main teaching assistant for "Probability and Statistics", Bachelor course for IN and SC by Prof. A. Davison
2017
- Main teaching assistant for "Statistical Machine Learning", Master course for MA by Dr. E. Thibaud
Conferences
- Invited talk, 12th CMStat 2019, London, United Kingdom, December 2019.
- Contributed talk, 62nd ISI World Statistics Congress, Kuala Lumpur, Malaysia, August 2019.
- Invited talk, 11th Extreme Value Analysis, Zagreb, Croatia, July 2019.
- Contributed talk, 14th International Meeting on Statistical Climatology, Toulouse, France, June 2019.
Education
PhD
Statistics
EPFL
2017-Present
MSc
Quantitative Finance
ETH Zurich
2017
BSc
Mathematics and Economics
London School of Economics
2014