Lin Zhou

Research on topics related to connected healthcare • Wearable data analysis for rehabilitation in clinic and daily life • Machine learning / deep learning using sensor and medical data • Interdisciplinary collaboration with project partners from IT, medicine and sport science • Project management, master/bachelor theses and student group project supervision

• Provide consulting services to clients in the digital health sector (medtech, pharmaceutical), translate client business needs into data solutions • Develop data-driven decision-making strategies, design and implement data pipelines with statistical and machine-learning techniques and cloud-computing solutions • Deliver data-driven insights to clients in presentations • Implement gamification strategies to enhance user engagement and outcomes in healthcare

• Developed customized data extraction, processing and analysis pipeline for visualization and interpretation of high dimensional data • Implemented machine learning algorithms for recurrent neural networks in Matlab • Analyzed acoustic recordings from Baboons with linear mixed model (LMM), discriminant function analysis (DFA), interpreted meaning of vocalizations in different social contexts • Established file management protocols with command line

Study of Neuronal Network Activities with Calcium Imaging and Network Simulation • Processed calcium imaging data, particle recognition in Python • Modeled feed-forward neural network, statistical analysis on computational model for seizures in the brain

Computational Neuroscience, Machine learning with recurrent neural networks (Matlab), Python programming

Neuroscience, Biomedical Engineering, Programming (Python, MatLab, Java, C#), Systems biology