About
Joel Jaskari is a Postdoctoral Researcher at Aalto University's Department of Computer Science, affiliated with the Kaski Kimmo Group. His work bridges computer science and medical imaging, focusing on AI-driven solutions for healthcare challenges.
- Education: Bachelor's degree in Engineering and Technology from Aalto University (2015)
His research interests span deep learning, medical image analysis, and healthcare technology, with applications in head and neck cancer treatment, sarcopenia assessment, and diabetic retinopathy diagnosis. The 15 most recent publications highlight trends in virtual reality manipulation of 3D medical images, Bayesian deep learning for cancer segmentation, and AI tools for dentistry and oncology.
The articles demonstrate expertise in cone beam computed tomography, uncertainty quantification, and clinical decision support systems. Key subfields include virtual reality interaction, probabilistic modeling, multi-center data analysis, and radiation therapy optimization.
Joel's work contributes to the United Nations Sustainable Development Goal 3 (Good Health and Well-being), with collaborations across oncology, radiology, and computer science. His research involves developing automated pipelines for muscle and adipose tissue analysis, and creating large language models for medical report interpretation.
His laboratory work focuses on the Kaski Kimmo Group at Aalto University, where he develops AI solutions for medical imaging challenges. The team emphasizes reproducibility, data privacy, and cross-institutional validation of AI models in clinical settings.
