Goal: Apply machine learning and statistical technologies in Natural Language Processing and bio-medical research.

Specialties:
1. Deep Learning: Convolutional Neural Network, Recurrent Neural Network(Long Short-Term Memory(LSTM), Gated Recurrent Unit(GRU)), word embeddings, Invented Syntactic Embeddings :)

2. Conventional Machine Learning and Statistical Analysis: Tree kernel, Feature Selection, clustering techniques, classification and regression; Temporal relation discovery from the clinical narrative; clinical phenotype classification based on EMR data;

3. Programming languages: Java, Python, R, Matlab, C

4. Packages: Keras, Theano, Tensorflow, Word2Vec, GloVe, scikit-learn, weka, cleartk, Apache cTAKES, svmlight, libsvm, liblinear, dchip, NLTK, GNU Scientific Library.