Chao Jun LIU
Curriculum Vitae
- Machine Learning: classical machine learning algorithms and deep learning.
- Data Mining: Feature engineering, Data visualisation, Graph mining, text mining.
- Optimisation: Convex programming, Integer programming, Stochastic programming, heuristics.
- Familiar: Python, R, scala, spark, C++, mySQL, Linux, CSI, Shiny, Latex
- Elementary: Java, mongodb, Neo4j
- English: Excellent proficiency
- Chinese: Mother Tongue
- French: Professional proficiency
- Finalist prize in Mathematical Competition in Modelling. An international competition organised by the US.
- Stochastic signal transformation. Using stochastic model and Python to simulate how signals are transmitted among nodes, optimising the capacity of wireless networks.
- Prediction of Missing Links in Citation Network. Construction of features (TF-IDF Similarity, Nnumber, etc.) based on graph and text model; Evaluation of performance of various models (Multilayer Neural Network, Random Trees Classifier, etc.)
- Handwritten Digits Recognition with Kernel Method. Implementation in Python of kernel algorithms (Kernel Ridge Regression, SVM and kernel PCA, etc.) only with NumPy and SciPy package.
- Implementation of SQL Query with MapReduce. Implementation of basic SQL query (join, sort, etc) ̇ with MapReduce in Hadoop File System in Java.
- Building a pricing tool for an international medical insurance product with expatriate contracts. Machine learning approaches are used to precisely estimate the undertaken risk head by head.
