André Pedersen
Brattørkaia 17A
7010 Trondheim
Trøndelag, Norway
Hi! I’m a Senior Machine Learning Engineer at Sopra Steria. I have strong experience in using artificial intelligence and image analysis techniques for various medical applications, aiming to develop solutions that can assist clinicians in their daily practice.
I was a MSc student at the Arctic University of Norway (UiT), from August 2014 to June 2019, in applied physics and mathematics, specializing in machine learning and statistics. I completed a summer internship at SINTEF Digital in 2018, which I ended up collaborating with on my Master’s thesis. From January 2019, I worked part-time at SINTEF while finishing my degree.
I started my PhD fellowship October 2019 in collaboration with the same research group as for my Master’s thesis. I was a PhD Candidate until 2023, where I published several papers on computational pathology, while I also held a position as a Research Scientist at the Medical Image Analysis group at SINTEF.
In parallel to my PhD work, I have developed open, standalone software for C++ and Python, mainly using Qt5/PySide6 (e.g., FastPathology and Raidionics). I have published open command line tools (e.g., livermask), developed Python packages (e.g., gradient-accumulator, torchstain), and published articles to high-impact scientific journals related to medical image analysis and deep learning (on topics such as image classification, semantic segmentation, image-to-image registration, high-performance computing, semi-supervised learning, and natural language processing).
I have also written a book chapter and acted as a reviewer for scientific journals, such as Medical Image Analysis, Nature Scientific Reports, Frontiers in Medicine, IJCARS, QIMS, and BMC Medical Imaging. Lastly, I have (co-)supervised five Master’s students working on using deep learning for supervised/semi-supervised segmentation of 3D medical images (CT), multilabel histopathology image classification, and bronchoscopy video navigation.
news
Jan 7, 2024 | Achieved a certification in Generative AI with Large Language Models from DeepLearning.AI. See the certificate here. |
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Jan 6, 2024 | Achieved the Microsoft Azure Data Fundamentals Certificate. See the certificate here. |
Dec 20, 2023 | Paper published in Neuro-Oncology Advances on growth analysis of untreated meningiomas, see here. |
Nov 2, 2023 | Paper published in Nature Scientific Reports on segmentation of glioblastomas in early post-operative multi-modal MRI, see here. |
Oct 12, 2023 | Achieved the Microsoft Azure AI Fundamentals Certificate. See the certificate here. |
Oct 2, 2023 | Started as a Senior ML Engineer at Sopra Steria. For announcement, see here. |