Eduation
Aug 2013–Mar 2018 Ph.D. in Computer Science, University of Melbourne, Australia
Sep 2010-Mar 2013 M.E. in Optoelectronic Information Engineering, Beihang University, China.
Working Experience
Feb–June 2018
Teaching Assistant in Machine Learning and Knowledge Technologies
Teaching Machine Learning algorithms with Python at the University of Melbourne
Feb–May 2018
Lead Instructional Associate in Data Science
Teaching Data Science with Python (e.g., machine learning, SQL) at General Assembly
July–Nov 2017
Teaching Assistant in Foundations of Computing and AI Planning
Delivering lectures in Python Programming and AI at the University of Melbourne
Jan 2018
Immersive Machine Learning course study by Andrew Ng In-depth study of popular machine learning algorithms such as logistic regression, SVM, neural networks, K-means clustering and PCA, and obtained a Machine Learning Certificate on Coursera
2016
18th EMBL PhD Symposium “Life by Numbers: Towards Quantitative Biology”
Invited flash talk and poster presentation about “Modelling lymphocyte proliferation”
July 2014
Medical Imaging Summer School
Trained to learn the state-of-the-art research in Medical Imaging and Computer Vision
Awards
18th EMBL PhD Symposium Travel Scholarship, 2016
Victorian Life Sciences Computation Initiative (VLSCI) Travel Scholarship, 2015
Melbourne International Fee Remission Scholarship, 2013–2017
First-class Scholarship for Excellent Academic Performance, Beihang University, 2011
National Scholarship (approximately four prize winners per year in the department), Special Grade Scholarship (3%). China, 2007–2008