I build learning systems around the structure of the problem.
I am a postdoctoral researcher at the University of Oslo, working in the GENESIS convergence environment at the Department of Biostatistics. My work spans machine-learning algorithms, from self-supervised and reinforcement learning to geometry-aware modeling, and their application to complex biological signals: brain-computer interfaces, early-embryo development, and genomics.
Experience and education
Postdoctoral Researcher, GENESIS
University of Oslo, Department of Biostatistics at the Institute of Basic Medical Sciences. Deep learning for early-embryo and genomic data in the GENESIS convergence environment.
Algorithm Lead, Neuralicorn (西湖灵犀)
Implantable brain-computer interfaces. Led the company's speech-decoding experiment end to end: experimental paradigm and brain-to-text decoding approach, code framework and pipeline, and clinical data collection with the partner hospital.
Researcher, eBRAIN-Health
University of Oslo. Deep-learning applications for medical platforms.
Researcher, AI-Mind
Oslo Metropolitan University. Deep learning for early dementia detection; presented the project's machine-learning results to the EU reviewers in Rome and authored its EU report on machine learning.
PhD in Artificial Intelligence
University of Oslo. Thesis on state representations in reinforcement learning.
MSc in Artificial Intelligence
University of Groningen.
BSc in Artificial Intelligence
University of Groningen.