Ma Laboratory
Notice: For students in Tsinghua University, please contact me if you are interested in workinig with me.
I am looking for talanted Master students, Ph.D. students to work with in the following directions,
Graphical Neural Network, Deep Learning
Immunology, Drug Discovery
Bioinformatics and Computational Biology
For undergraduate and master studuents, please don't do the following: First contact me to do research and then tell me you need to focus on your homework and final.
Research
Our main focus is to develop novel computational models for translation of patient data to precision diagnosis and treatment for complex diseases, such as cancer. We seek to advance this goal from three aspects: 1) Interpretable & Transferable
Machine Learning Models 2) Systems Biology and Network Models 3) BioNLP & Text Mining. Please see figure below for how we can connect these dots.
Research Highlights
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Our Cancer Cell paper is discussed in the following media:
Our Nature Methods paper is discussed in the TECHNOLOGY FEATURE of Nature: Deep learning takes on tumours
Invited talk at the Bristol-Myers Squibb Informatics and Predictive Sciences, 2020
Our new dog paper is reported by the following media:
Invited talk at the Next Generation in Biomedicine by The Broad Institute of Harvard and MIT, 2019
Invited talk at the Big Mechanism at DARPA, 2018
Invited talk at the 13th Annual Meeting of the International Conference on Genomics (ICG), 2018
Invited talk at Department of cancer informatics, Sun Yat-Sen University, 2018
Oral presentation at Pacific Symposium on Biocomputing (PSB), 2018
Oral presentation at Research in Computational Molecular Biology (RECOMB), 2015
Oral presentation at ISMB 3DSIG and sequencing workshop, 2015
Invited talk at MCBIOS, 2014
Invited talk at the Bioinformatics Institute of Peking University, 2014
Oral presentation at Research in Computational Molecular Biology (RECOMB), 2014
Oral presentation at Artificial Intelligence and Statistics (AI & statistics), 2013
Invited talk at 2nd Zing Conference on Protein and RNA, 2013
Oral presentation at Intelligent Systems for Molecular Biology (ISMB), 2012
Our server RaptorX attends a Protein Strcuture Prediction Marathon: CAMEO
Check our performance of structure prediction
Check our performance of ligand-binding prediction
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