Research Program

My research program at the University of Oslo sits at the intersection of clinical linguistics, neuroscience, and artificial intelligence. We focus on decoding the complex neurological patterns behind speech pathology and translating these discoveries into objective, computational diagnostic tools.

Theme 1

Digital Biomarkers for Neurodegeneration

The Challenge: Neurodegenerative diseases, such as Primary Progressive Aphasia (PPA) and Alzheimer's Disease, are notoriously difficult to diagnose in their early stages. Subjective clinical evaluations can lead to delayed or inaccurate diagnoses, severely impacting patient care.

Our Approach: Because language production requires complex neural synchronization, pathology leaves microscopic acoustic and linguistic footprints in a person's speech long before standard symptoms appear. We utilize advanced machine learning techniques to extract and quantify these features from natural speech, turning voice recordings into highly sensitive, objective digital biomarkers for early diagnosis and disease tracking.

Keywords: Primary Progressive Aphasia (PPA), Dementia, Acoustic Analysis, Machine Learning, Early Diagnosis

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Theme 2

Multimodal Computational Assessment

The Challenge: Human communication is not just about the words we use; it involves acoustics, semantics, syntax, and behavioral expressions. Traditional clinical tools often assess these elements in isolation.

Our Approach: We develop sophisticated multimodal AI models that analyze various streams of communication data simultaneously. This research directly powers the architecture of Open Brain AI, allowing us to build personalized applications that excel in differential diagnosis and patient prognosis by looking at the complete picture of a patient's cognitive-linguistic health.

Keywords: NLP, Multimodal AI, Clinical Linguistics, Open Brain AI, Differential Diagnosis

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Theme 3

The Brain-Language Connection

The Challenge: To build accurate diagnostic algorithms, we must first deeply understand the theoretical mapping between localized brain function, cognitive decline, and linguistic output.

Our Approach: Rooted in the theoretical framework of clinical linguistics, this foundational research maps how specific neurological damage alters speech, language structure, and emotional expression. By bridging computational science with neurobiology, we ensure our AI models are not "black boxes," but are grounded in clinically and biologically valid principles.

Keywords: Neurobiology, Cognitive Science, Speech Pathology, Language Production

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Our work is driven by a commitment to rigorous, peer-reviewed science and transparent collaboration.

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