• Autumn 2024: Lecturer of CSMMS (Statistics in Data Science) at the University of Reading. 

• Autumn 2024: Lecturer  of Applied Stochastic Processes (MA3APS, MA4APS) at University of Reading.

• Autumn 2022, 2023: Lecturer  of Applied Stochastic Processes (MA3AST, MA4AST) at University of Reading. 

• Autumn 2022,2023,2024: Lecturer  of Statistics & Mathematics in Data Science (CSMMA16/21)  at University of Reading. 

• Fall 2020:  Instructor of  Analytics Edge  (A course on data science).

• Fall 2018:  Lecturer  of  Stochastic Processes 3 (A graduate course covering Point process, Continuous time Markov chain, Brownian motion, Renewal theory based on Sidney Resnick's book  "Adventures of Stochastic Processes").                     Details

• Fall 2013, Fall 2014:  Lecturer  of  STOR 151 (An undergraduate course in elementary probability, statistical inference and data analysis).         

• Fall 2010- Spring 2013 :  Instructional Assistant/ Teaching Assistant  Duties include holding office hours with lab sessions, grading assignments for STOR 155,435,113. 

Supervision

I supervised 6 students in their bachelor thesis. Details are following.

• Jan Alexandersson, "Some rumor spreading models on complete graphs and Erdős–Rényi graphs" with Pieter Trapman , Spring 2019.

• Lauge Hedegaard, "How many trees can one see in a Poisson forest?"with Pieter Trapman , Spring 2019 .

•  Fredrika Lundahl, "Is legislating vaccination necessary? An investigation of the combined effect of vaccine and quarantine of school classes using stochastic modelling" with Pieter Trapman , Spring 2019 .

•  Markus Olofsson Lindroos, "One-Night Stand Land - A stochastic model for the spread of a venereal disease and the mitigating effect of a vaccination scheme" with Pieter Trapman , Spring 2019 .

•  Max Sjödin, "Stochastic modelling on epidemics and how they affect the workplace" with Pieter Trapman , Spring 2019 .

• Anton Stråhle, "The Effect of Quarantines on Epidemics in a Kindergarten Setting" with Pieter Trapman , Spring 2019 .