Dr. George Karystianis' Web page

Email: darthgeo@gmail.com
Computer Science Email: karystig@cs.man.ac.uk

A list of my presentations can be seen here

About me


Hello there! My name is George Karystianis and I am coming from the lovely and sunny Greece. I am 26 years old and I am officially a Doctor of Philosphy. Currently, I am awaiting for my graduation from the University of Manchester, in the School of Computer Science. My PhD was a multidisciplinary project between the fields of Medical Informatics and Text Mining. I have been studying Medical Informatics (Bsc and Msc degrees) for a long, long time and Text Mining was always something that I wanted to try. I found it very interesting and, thus I ended up taking this innovative project. I am mainly interested in pursuing a carreer in Epidemiology or Epidemiological Text Mining as I believe that there is a wealth of knowledge ready to discovered under these large volumes of clinical data. At this moment, I am doing a post-doc related to clinical text mining focusing on the identification of structured medication information from Clinical Research Practice Datalink (CPRD) prescriptions.


I work with Dr. Goran Nenadic, School of Computer Science, University of Manchester as a postgraduate researcher and as a member of his text mining team, Professor Iain Buchan, Director of the Health e-Research Centre, University of Manchester, and John Ainsworth, Deputy Director of the Centre for Health Informatics.


Currently I am focusing on the extraction of medication information from prescription records and present them into a structured form e.g.,minimum and maximum dose frequency, dose number, dose interval and dosage unit. The main aim is enable the manipulation of large amounts of prescription data by clinicains in an efficient and less time consuming way assisting in the identification of potential adverse drug events, commom prescription errors and revelations of temporal prescrition patterns related to a health care problem.

Research Interests

My main focus on research is the extraction of useful and previously unknown information related to complex clinical problems like obesity or multiple sclerosis. However, my interest does not stop there. I desire to explore and analyse the extracted medical/epidemiological knowledge. Tools that I am applying in my research include:




What can I do?

  1. I can play guitar.

  2. I can speak in

  3. I can draw surprisingly well while trying to get my gallery of the ground,

  4. I can cook to Chef levels!

  5. I teach (as a volunteer) Greek lessons in Manchester's International Society


Hobbies-free time activities

Favourite phrases

Every man is responsible for his own destiny.

Violence kills people and gods but not ideas.

Let us beware of those who seek to possess our bodies and our minds. For the academic world seeks to dehumanize us.

He who speaks does not know, he who knows doesn't speak.

There is a difference knowing the path and walking the path.

Train yourself to let go.

Always be yourself, express yourself, have faith in yourself, do not go out and look for a successful personality and duplicate it.

Death is always on the way, but the fact that you don't know when it will arrive seems to take away from the finiteness of life. It's that terrible precision that we hate so much. But because we don't know, we get to think of life as an inexhaustible well. Yet everything happens a certain number of times, and a very small number, really. How many more times will you remember a certain afternoon of your childhood, some afternoon that's so deeply a part of your being that you can't even conceive of your life without it? Perhaps four or five times more. Perhaps not even. How many more times will you watch the full moon rise? Perhaps twenty. And yet it all seems limitless.