Dong Liang
Machine Learning Engineer at Johnson & Johnson
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolDong Liang is a Machine Learning Engineer with 11 years of experience specializing in disease risk modeling using large-scale clinical and genomic datasets, now contracting at Johnson & Johnson via TCS. He holds a PhD in Cellular and Molecular Biology and an MS in Data Science, combining deep domain knowledge with practical ML/DL expertise (TensorFlow/PyTorch, transformers, CNNs, LSTM) to translate multi-omics and clinical data into high-performing predictive models. Previously as a senior data scientist he led 30+ biopharma projects—partnering with organizations like the Gates Foundation—to discover diagnostic biomarkers and accelerate drug discovery through causal inference and advanced representation learning. His academic work produced peer-reviewed publications and applied innovations such as CNN autoencoders on SARS-CoV-2 genomes and a recurrent UTI risk scoring system with a 0.91 AUC. Comfortable across MLOps, cloud platforms, and visualization tools, he blends research rigor with production-aware engineering and a track record of mentoring teams. An understated strength is his ability to harmonize heterogeneous structured and unstructured data, turning noisy multi-source inputs into actionable clinical insights.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Cellular and Molecular Biology, Doctor of Philosophy - PhD Cellular and Molecular Biology at Université Paris Cité & École Normale SupérieureMaster of Science (MS) Data Science, Master of Science (MS) Data Science at Indiana University BloomingtonBachelor of Science - BS Biochemistry, Bachelor of Science - BS Biochemistry at East China Normal UniversityHong Kong University of Science and Technology (HKUST)
English, Chinese, French, shanghai dialect
Github Skills (4)
machine-learning-models9
python8
machine-learning7
data-science6
Programming languages (4)
Github contributions (5)
DongL/CNV-Project
Jul 2019 - Jun 2020
Contributions:5 commits, 4 pushes in 11 months
Contributions:32 commits, 31 pushes, 1 branch in 8 months
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