Siqi Liu
Vice President Of Machine Learning at Tempus AI
New York, New York, United States
Summary
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Senior🎓
Top SchoolSiqi Liu is a Vice President of Machine Learning with 14 years of experience leading AI research and productization in healthcare, currently based in New York. With a PhD in Biomedical Image Computing from the University of Sydney, she has moved from deep-learning research roles at Siemens Healthineers to senior AI leadership at Paige and Tempus AI, bridging clinical needs and industrial-scale ML. She combines hands-on engineering—evidenced by contributions to neuroimaging tooling like nipype—with strategic product ownership, delivering robust medical-data solutions for pathology and radiology. Known for shipping production ML in regulated settings, she brings a rare mix of academic rigor, backend engineering skill, and operational leadership that accelerates clinical impact.
13 years of coding experience
8 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Engineering University of HarbinThe University of Sydney
Chinese, English
Github Skills (12)
workflow-engine10
dataflow-programming10
dataflow10
python10
neuroimaging10
brain-imaging10
data-structure5
algorithms5
algorithm5
data-structures5
data-science4
big-data3
Programming languages (7)
Github contributions (5)
nipy/nipype
Dec 2014 - Feb 2015
Workflows and interfaces for neuroimaging packages
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 commits, 1 PR, 14 comments in 2 months
Contributions summary:Siqi primarily contributed to the `nipype` repository by modifying the `antsIntroduction` interface, specifically within the `legacy.py` file. They added conditional logic to handle different transformation models (RA, RI, and GR), ensuring correct output behavior and addressing potential errors. Additionally, the user added the ability to compute average distance using the ErrorMap class, and fixed a masking issue. These changes indicate a focus on improving the functionality and reliability of the neuroimaging workflows.
workflowneuroimagingpythondata-scienceworkflow-engine
lsqshr/Neurostalker
Apr 2015 - Jul 2015
Contributions:1 release, 123 commits, 53 pushes in 2 months
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