Scholar
Andre Altmann
Google Scholar ID: KnZqojYAAAAJ
UCL
Citations & Impact
Citations
8,529
H-index
29
i10-index
50
Publications
20
Co-authors
8
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Results of his research are available in the form of Publications, Posters, and Software.
Research Experience
- - February 2010 - May 2012: Postdoctoral researcher in the Statistical Genetics Group headed by Bertram Müller-Myhsok at the Max Planck Institute of Psychiatry in Munich
- - July 2012 - July 2015: Worked at the FIND lab of Stanford University, first as a Postdoctoral Scholar (till January 2015) and later as an Instructor, under Michael D Greicius
- - August 2015 onwards: MRC Senior Fellow (with support from the MRC eMedLab project) at UCL, where he launched the COMputational Biology in Imaging and geNEtics (COMBINE) lab as part of the UCL Hawkes Institute (formerly Centre for Medical Image Computing; CMIC)
Education
- - Bachelor's degree in Computer Science, RWTH Aachen, graduated in 2005 with a thesis in the field of spoken language recognition at the Chair for Computer Science 6
- - PhD, Max Planck Institute for Informatics, supervised by Thomas Lengauer, in the Computational Biology group
Background
- His research focuses on understanding how molecular biology shapes brain function in healthy and diseased brains. In the healthy brain, he aims to answer questions like 'Which genes are responsible for variations in neural activity in the resting brain?' whereas, in the diseased brain, he wants to understand which processes are causing severe malfunctions leading to neuropsychiatric and neurodegenerative disorders such as Major Depressive Disorder and Alzheimer's disease. His goal is to understand the molecular biology behind these disorders; down the road, such an understanding may result in new drug candidates. Furthermore, he is interested in developing disease biomarkers that assist in early detection of the disorder and in personalizing the treatment. Thus, his research interests are centered on topics in neuroimaging, molecular genetics, and machine learning (and their combinations).
