Sebastian Waldstein, MD, PhD

 

Associate Director

Christian Doppler Laboratory for Ophthalmic Image Analysis

Department of Ophthalmology

Medical University of Vienna

Email: sebastian.waldstein(at)meduniwien.ac.at

Phone: +43 1 40400 73419

Office: AKH level 08, room 08.i9.15

 

>> CV


Bio:


I am Associate Director of the Christian Doppler Laboratory for Ophthalmic Image Analysis, an interdisciplinary research group lead by Prof. Ursula Schmidt-Erfurth. I have contributed substantially to founding and leading the group since 2012. Over the past 5 years this lab has established itself as one of the leading groups in ophthalmic image analysis worldwide. We are an active part of the Medical Imaging Cluster of the Medical University of Vienna, where I am co-speaker of the node "Image Computing, Analysis and Visualisation". I have extensive experience in clinical ophthalmology and in the field of machine learning applied to medical imaging, having published >45 peer reviewed journal and conference publications and 2 book chapters in the subject field. 

 

I am an MD graduate of Innsbruck Medical University and have studied abroad at the Universities of Pennsylvania, Oxford, Oslo and Zurich. I hold a PhD in medical physics of the Medical University of Vienna. I am a board-certified ophthalmologist, retina specialist and ophthalmic surgeon at the Vienna General Hospital, Medical University of Vienna. In 2016 I was appointed "Privatdozent" (reader / associate professor) in ophthalmology.

 

I have served as a peer reviewer for several ophthalmic and engineering journals and have lectured internationally at conferences and for the industry.

 

I am PI of an interdisciplinary research project developing prognostic computational models for individual risk prediction in patients with intermediate age-related macular degeneration, and PI of two industry-funded grants for machine learning in OCT of macular degeneration.


My current research interests include:


- Big data analysis in retinal imaging, machine learning, artificial intelligence

- Advanced computational medical image analysis in ophthalmology
- Biomarker discovery in macular disease with a special interest in age-related macular degeneration
- Development of prognostic disease models in dry age-related macular degeneration