Daniel Kristanto

I am a postdoctoral researcher at the Psychological Methods and Statistics Lab, University of Oldenburg. Supported by a CvO Young Researchers' Fellowship, my work focuses on methodological development at the intersection of computational neuroscience and meta-science.

Currently, I am conceptualizing highly interdisciplinary initiatives grounded in meta-scientific approaches and computational method development. These frameworks are designed to systematically dismantle infrastructural and technical barriers across different domains. Specifically, I am proposing the Individual Brain Project to advance precision functional mapping in neuroimaging, and the ASPIRE Project to accelerate interactive biomarker discovery in Parkinson's disease.

My academic journey spans multiple disciplines, providing a multidimensional perspective on brain research. I received my Ph.D. in Physics from Hong Kong Baptist University, applying advanced data-driven models to understand brain-behavior relationships. Prior to this, I earned Master's and Bachelor's degrees in Engineering from Sirindhorn International Institute of Technology (Thailand) and Universitas Gadjah Mada (Indonesia). This robust foundation bridges engineering, physics, and psychology, equipping me with the core algorithmic skills required to develop complex computational frameworks.

My core research translates meta-scientific principles into concrete methodological solutions. I aim to optimize research practices by combining systematic benchmarking registries (Knowledge Spaces) with generative AI, graph theory, natural language processing, advanced machine learning, and statistical methods to facilitate robust, reproducible, and translational research.