Dr Johan Dahlin

Dr Johan Dahlin

Research Associate

School of Engineering

Career Summary


My name is Johan Dahlin and I was born in Enköping, Sweden in 1986. In June 2011, I received a MSc degree in Engineering Physics with majors in Mathematical Statistics and Risk Management, as well as a BSc degree in Economics with additional coursework in Business Administration and Law, both from Umeå University.

In May 2014, I received a Licentiate's degree in Automatic Control from Linköping University. During the autumn of 2014, I visited Prof. Robert Kohn at the Department of Economics, University of New South Wales, Sydney, Australia. In May 2016, I received my PhD in Automatic Control from Linköping University based on the thesis Accelerating Monte Carlo methods for Bayesian inference in dynamical models.

Since then, I have held positions as a researcher in both academia and industry focusing on applying Machine Learning to among other things help medical doctors to find cancers in MRI and CT-scans, searching through disaster areas after survivors in the least amount of time.

Research interests

I am passionate about finding hidden patterns and trends in data such as numbers, images and documents to learn more about medicine, economics and society at large. During my PhD studies, I spent five years learning and developing more efficient algorithms for Statistics and Machine Learning. I now aim to make use of my expertise to improve the world in terms of health care, medicine and the environment. I believe that learning from data is essential in this quest by enabling improved data-driven decision making and forecasting.

The results from my research during my PhD studies and subsequent Postdoctoral work can be applied in many scientific fields as well as in many different industries. For an overview of my research, please see my personal webpage.

Professional experience

Please see my LinkedIn profile or my CV for more information about my education and work experience.


  • Doctor of Philosophy, Linkoping University


  • Bayesian statistics
  • Deep learning
  • Machine learning
  • Monte Carlo methods
  • System identification
  • Time series analysis


  • Swedish (Mother)
  • English (Fluent)

Fields of Research

Code Description Percentage
091399 Mechanical Engineering not elsewhere classified 50
010401 Applied Statistics 50

Professional Experience

UON Appointment

Title Organisation / Department
Research Associate University of Newcastle
School of Engineering

Dr Johan Dahlin


Research Associate
School of Engineering
Faculty of Engineering and Built Environment

Contact Details

Email johan.dahlin@newcastle.edu.au
Phone (02) 4921 8817
Link Personal webpage


Room EF106
Building Engineering F
Location Callaghan
University Drive
Callaghan, NSW 2308