Dr. Nils Daniel Forkert, PhD

Nils Daniel Forkert

Associate Professor

Cumming School of Medicine, Department of Radiology

Adjunct Associate Professor

Cumming School of Medicine, Department of Clinical Neurosciences

Adjunct Associate Professor

Schulich School of Engineering, Department of Electrical and Software Engineering

Child Health Data Science Program Director

Alberta Children's Hospital Research Institute

Child Health & Wellness Researcher

Alberta Children's Hospital Research Institute

Full Member

Hotchkiss Brain Institute

Media contacts

Kelly Johnston
Senior Communications Specialist

Office: +1.403.220.5012
Email: kelly.johnston2@ucalgary.ca
Twitter: @UCalgarymed

Web presence

Background

Educational Background

Postdoctoral Felllowship Medical Image Processing, Stanford University,

Doctorate Medical Image Processing, University of Hamburg,

MSc Medical Physics, Technical University of Kaiserslautern,

Dipl.-Inf. (German Diploma) Computer Science, University of Hamburg,

Biography

Dr. Nils Daniel Forkert is an Associate Professor at the University of Calgary in the Departments of Radiology, Clinical Neurosciences, and Electrical and Software Engineering. He received his German diploma in computer science in 2009 from the University of Hamburg, his master’s degree in medical physics in 2012 from the Technical University of Kaiserslautern, his PhD in computer science in 2013 from the University of Hamburg, and completed a postdoctoral fellowship at Stanford University before joining the University of Calgary as an Assistant Professor in 2014. He is an imaging and machine learning scientist who develops new image processing methods, predictive algorithms, and software tools for the analysis of medical data. This includes the extraction of clinically relevant parameters and biomarkers from medical data describing the morphology and function of organs with the aim of supporting clinical studies and preclinical research as well as developing computer-aided diagnosis and patient-specific, precision-medicine, prediction models using machine learning based on multi-modal medical data. Dr. Forkert is a Canada Research Chair (Tier 2) in Medical Image Analysis, and Director of the Child Health Data Science Program of the Alberta Children's Hospital Research Institute as well as the Theme Lead for Machine Learning in Neuroscience of the Hotchkiss Brain Institute at the University of Calgary. He has published over 130 peer-reviewed manuscripts, over 50 full-length proceedings papers, over 130 conference abstracts, and 1 book. He has received major funding from the Natural Sciences and Engineering Research Council (NSERC), Canadian Institutes of Health Research (CIHR), the Heart and Stroke Foundation, Calgary Foundation, and the National Institutes of Health as a PI or co-PI. He currently supervises four postdoctoral fellows, six PhD students, and six MSc students demonstrating his dedication to training the next generation of data science researchers.

Research

Areas of Research

Bioinformatics
Biostatistics
Magnetic Resonance Imaging
Activities

The focus of my research is to develop and evaluate new image processing methods, algorithms, and software tools for the analysis of medical images. This includes the image-based extraction of clinically relevant parameters and biomarkers describing the morphology and function of organs. In doing so, we aim to support clinical studies and preclinical research as well as developing and improving computer-aided diagnosis and patient-specific prediction models with a special focus on, but not limited to, the human brain. Additionally, we are developing advanced machine learning models for various diseases using multi-modal data sources, not limited to image-based features.

Participation in university strategic initiatives

Awards

  • Canada Research Chair in Medical Image Analysis, 2020