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I am passionate about integrating machine learning/numerical algorithms with drug discovery. More specifically, my research focuses on lab automation, molecular property prediction, protein allostery prediction, epigenetics, etc.. I devoted most of my spare time to open-source software development, such as procrustes.

💻 Postdoc at Heidar-Zadeh Group at Queen's University, Alumni of Coley Group at MIT and Ayers Group at McMaster University
💻 Speaks English, Chinese, Python, LaTex, Markdown
💻 Publication: Scientific Data, Medicinal Research Reviews, Journal of Medicinal Chemistry, Elife, etc.. Total publications=21, H-index=13. More on Google Scholar

Programming Skills:

Python

Coding Summary:

Fanwang's GitHub Stats

Fanwang Meng's Projects

vimrc icon vimrc

The ultimate Vim configuration: vimrc

xgboost icon xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

yapf icon yapf

A formatter for Python files

zmatrix icon zmatrix

A class for conversion between zmatrices and cartesian coordinates

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