Arsu Lab

Our research focuses on developing robust, interpretable, and data-efficient machine learning methods for digital health and biomedical engineering. I focus on algorithmic foundations that enable reliable learning from noisy, heterogeneous, and limited medical data, with the long-term goal of supporting trustworthy clinical decision-making and AI-enhanced medical technologies. My work bridges machine learning, signal processing, and cognitive and biological modeling and is driven by close collaboration with researchers in neuroscience, medicine, and biology.

Academic work is listed on google scholar, non-academic writings are published on our blog.