Jiannan Liu
Digital Scientist at Takeda
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJiannan Liu is a Digital Scientist with nine years of experience applying bioinformatics, data mining, and software engineering to biologics drug development, currently leading digital transformation and scientific data management at Takeda in Boston. He designs cloud-native data platforms and instrument data management solutions on AWS, and has a track record building end-to-end analysis applications and pipelines—from CyTOF/CyTOF-like high-dimensional flow workflows to scRNA-seq and vaccine-response ML testing. Jiannan contributes to open-source ML tooling (notably improving cppflow’s C++ TensorFlow wrapper for memory safety, string tensors, and thread-safe contexts), reflecting a pragmatic ability to bridge research code and production systems. His background spans industry deployments (Takeda, Merck, LabCorp) and advanced study in informatics, enabling him to translate complex experimental data into robust, auditable systems and predictive models.
9 years of coding experience
Doctor of Philosophy - PhD, Informatics, Fourth Year, Doctor of Philosophy - PhD, Informatics, Fourth Year at Indiana University–Purdue University IndianapolisBachelor of Engineering (BE), Industrial Engineering, 3.17/4.00, Bachelor of Engineering (BE), Industrial Engineering, 3.17/4.00 at Nanjing Agricultural UniversityExchange Student, Industrial Engineering, B+, Exchange Student, Industrial Engineering, B+ at University of California, BerkeleyMaster of Science (M.S.), Industrial Engineering, 3.33, Master of Science (M.S.), Industrial Engineering, 3.33 at University of Florida
English, Chinese
Github Skills (8)
neural-network10
c-language10
tensorflow10
cprogramming-language10
modello9
inference9
c178
c118
Programming languages (9)
Github contributions (5)
serizba/cppflow
Sep 2020 - May 2022
Run TensorFlow models in C++ without installation and without Bazel
Role in this project:
ML Engineer
ML EngineerContributions:16 reviews, 14 commits, 16 PRs in 1 year 8 months
Contributions summary:Jiannan primarily contributed to the C++ TensorFlow wrapper library, cppflow. They addressed memory leaks, improved compatibility with newer TensorFlow versions (2.4 and later), and added functionalities for string tensors. The user also made the `context` thread-safe and fixed various bugs while also adding a test. Furthermore, the user added functions and updated the raw_ops.h file.
cppbazelmodelinferenceneural-networks
ljn917/cppflow
May 2020 - May 2022
Run TensorFlow models in C++ without installation and without Bazel
Contributions:77 pushes, 22 branches in 2 years
cppbazelinstallationtensorflow-modelstensorflow
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