About me

I'm a researcher and data scientist interested in artificial intelligence, natural computation, robotics, and computational neuroscience.

My Ph.D. thesis (brief abstract) investigated how homeostatic synaptic scaling mechanisms acting in Alzheimer's disease can result in the effect of information-selectivity. This defines the way the disease spreads, and how it attacks the least significant neurons first, thereby making the disease harder to detect in its early stages. It also reveals a potential method for slowing the progression of the disease, by using electrostimulation to restore lost activity and reduce the need for synaptic scaling.

I did my Ph.D. with John Bullinaria at the University of Birmingham, UK.

For a list of my academic publications, please follow this link.

Contact me

Email: mark@tamias.co.uk (PGP public key).

Skype: tamias_striatus

Google Scholar: http://scholar.google.co.uk/citations?user=9L-UquwAAAAJ&hl=en

Academia.edu: http://bham.academia.edu/MarkRowan

LinkedIn: https://www.linkedin.com/in/mark-rowan-61bb5268

Current occupation:

  • (2017 - ) VP, Cognitive Data Scientist at Swiss Re, Machine Intelligence and Strategy, Zürich.

Qualifications:

  • (2009 - 2013) Ph.D. Computer Science, University of Birmingham, UK.
  • (2006 - 2007) M.Sc. Natural Computation, Distinction, University of Birmingham, UK.
  • (2003 - 2006) B.Sc. Artificial Intelligence & Computer Science, Hons. 1st class, University of Birmingham, UK.

Previous employment:

Full CV: