10+ years experience on research for health data science. Familiar with and Well-Experienced with the Following Things: Data Analysis Technologies Classic data mining/machine learning algorithms (NN, SVM, Decision Tree, Logistic Regression...) Deep learning approaches (Feed Forward NN, CNN, RNN, GNN...) Graph based learning Matrix and tensor related technologies (Low-Rank Approximation, NMF/NTF, Sparse Learning...) Frequent itemset/pattern mining (APRIORI, PrefixSpan, SPAM...) Large Scale Learning (Stochastic Optimization, Online Learning, Hashing/Indexing...) Similarity/Distance Metric Learning Optimization (Gradient descent, Proximal methods...) Mechanistic models (Differential equation...)