Update about.md

_pages/about.md

@@ -2,24 +2,21 @@
 layout: about
 title: about
 permalink: /
-subtitle: <a href='#'>Affiliations</a>. Address. Contacts. Moto. Etc.
+subtitle: <a href='#'>Affiliations</a>.  Leiden University Medical Center, Leiden, The Netherlands
 
 profile:
   align: right
   image: prof_pic.jpg
-  image_circular: false # crops the image to make it circular
-  more_info: >
-    <p>555 your office number</p>
-    <p>123 your address street</p>
-    <p>Your City, State 12345</p>
+  image_circular: true # crops the image to make it circular
+  more_info: 
 
 news: true # includes a list of news items
-selected_papers: true # includes a list of papers marked as "selected={true}"
+selected_papers: false # includes a list of papers marked as "selected={true}"
 social: true # includes social icons at the bottom of the page
 ---
 
-Write your biography here. Tell the world about yourself. Link to your favorite [subreddit](http://reddit.com). You can put a picture in, too. The code is already in, just name your picture `prof_pic.jpg` and put it in the `img/` folder.
+Marius Staring is a professor of Machine Learning for Medical Imaging, and vice director of the Division of Image Processing (Dutch abbreviation LKEB), at the Leiden University Medical Center. He holds an MSc degree in Applied Mathematics from the University of Twente (2002), and a PhD degree from the UMC Utrecht (2008).
 
-Put your address / P.O. box / other info right below your picture. You can also disable any of these elements by editing `profile` property of the YAML header of your `_pages/about.md`. Edit `_bibliography/papers.bib` and Jekyll will render your [publications page](/al-folio/publications/) automatically.
+He and his team develop generic machine learning approaches for automated image analysis, and apply these in the clinical and life-sciences. He has worked on machine learning for disease classification and staging, for segmentation, image registration and uncertainty estimation. In collaboration with the Department of Radiotherapy and others he explores the area of adaptive radiation therapy (photon as well as proton, CT as well as MRI). Together with the MR physics group and Philips he has developed image reconstruction techniques using deep learning, currently available in Philips MRI scanners. Image registration is a focus point in his research, developing fast and robust methods that render this technique usable in a time-critical intra-operative setting.
 
-Link to your social media connections, too. This theme is set up to use [Font Awesome icons](https://fontawesome.com/) and [Academicons](https://jpswalsh.github.io/academicons/), like the ones below. Add your Facebook, Twitter, LinkedIn, Google Scholar, or just disable all of them.
+Marius Staring is an Associate Editor of IEEE TMI, and a member of program committees of MICCAI, IEEE ISBI, SPIE MI and WBIR. He is a VENI laureate, and teaches students Technical Medicine on image processing. Open sourcing his methods has been a common theme in his career, exemplified by the image registration package [Elastix](https://elastix.lumc.nl/).