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Organization / Workplace
Rochester, New York Area United States
Occupation
Data Scientist at PARC
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Education
About
Deep knowledge in data science: 1. Machine learning: logistic regression, random forest, support vector machine (SVM), ensemble learning; 2. Statistical learning: Bayesian Hierarchical modeling, multilevel generalized linear mixture model (GLMM), spatial and patio-temporal modeling; 3. Probabilistic graphic models and generative models: Bayesian network and Markov fields, restricted Boltzmann machine (RBM) and autoencoder. 4. Deep learning practioner. Summary applications in healthcare and transportation domains: 1. Social and behavior risk factors analysis for population health; 2. Spatial analysis for demand/supply model for healthcare providers; 3. Individual-level patient health ris...
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