Shaoheng Liang
Lane Fellow (Postdoctoral Fellow) at Carnegie Mellon University
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolShaoheng Liang is a computational biologist and machine learning researcher with a PhD in Computer Science and eight years of experience bridging academic research and industry consulting. Currently a Lane Fellow at Carnegie Mellon’s Computational Biology Department, he applies deep learning (PyTorch, TensorFlow/Keras) and classical methods across bioinformatics projects while consulting for biotech firms on sequencing panel development and computational solutions. Proficient in Python, C++, R, MATLAB and Java, he is comfortable building hybrid pipelines that move models from research prototypes to production-ready workflows. Trained at Rice University and with practical experience at MD Anderson and NuProbe, he combines rigorous theoretical grounding with hands-on assay optimization and software engineering. An understated strength is his fluency in both low-level implementation and high-level model design, enabling rapid iteration on complex experimental datasets.
8 years of coding experience
The High School Affiliated to Renmin University of ChinaDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Rice UniversityBachelor of Engineering - BE, Electronic Infromation Science and Technology, Bachelor of Engineering - BE, Electronic Infromation Science and Technology at Tsinghua UniversityTrainee (Graduate assistant), Computational Biology, Trainee (Graduate assistant), Computational Biology at The University of Texas M.D. Anderson Cancer Center
Github Skills (4)
autoencoder10
seq10
bioinformatics9
inference3
Programming languages (4)
Github contributions (5)
KChen-lab/SCMER
Sep 2020 - May 2022
Contributions:5 releases, 136 commits, 119 pushes in 1 year 7 months
KChen-lab/bcd
Jun 2019 - Oct 2020
Contributions:74 commits, 64 pushes, 1 branch in 1 year 4 months
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