Andrew Van
Senior Machine Learning Scientist at Turing Medical
United States
Summary
👤
Senior🎓
Top SchoolAndrew Van is a Senior Machine Learning Scientist and PhD biomedical engineer with 12 years of experience building clinically validated AI for neuroimaging, including leading R&D for two FDA-cleared medical software products. He has delivered dramatic performance gains—12× faster brain segmentation and a 55% reduction in scan time via motion monitoring—and implemented robust CI/CD and cloud ETL infrastructure to scale clinical workflows. His work spans MRI/fMRI processing, PyTorch model development, IEC 62304-compliant V&V, and production deployments on Docker/AWS. A co-inventor of the commercially deployed, patented FIRMM motion-tracking system and contributor to the widely used nibabel neuroimaging library (adding zstd support), he blends open-source impact with regulatory rigor. Currently he focuses on AI-driven precision functional brain mapping to improve outcomes for treatment-resistant depression and chronic pain.
12 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.S.), Biomedical Engineering, 3.8, Bachelor of Science (B.S.), Biomedical Engineering, 3.8 at Texas A&M UniversityDoctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, 3.94, Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, 3.94 at Washington University in St. Louis
Japanese
Stackoverflow
49reputation
6kreached
1answer
16questions
Github Skills (15)
data-formats10
python10
data-format10
neuroimaging10
testing9
benchmarking9
benchmark9
numpy8
nifti7
arraylist6
constraint6
sql6
mysql-backup6
mysql6
java6
Programming languages (7)
Github contributions (5)
nipy/nibabel
Mar 2021 - Sep 2021
Python package to access a cacophony of neuro-imaging file formats
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 review, 10 commits, 2 PRs in 6 months
Contributions summary:Andrew primarily focused on adding support for Zstandard (zstd) compression to the `nibabel` library, a Python package for neuroimaging file formats. Their contributions include integrating `pyzstd` to handle zstd compression for Analyze, AFNI, and MINC file formats. Furthermore, the user added related testing and benchmarking to assess the performance of fileslicing operations with zstd compression. This work enhanced the library's ability to handle compressed neuroimaging data.
pythontckimagingtrkstreamlines
FIRMMsoftware/FIRMMsoftware.github.io
Feb 2017 - Jun 2020
Contributions:67 pushes, 1 branch in 3 years 4 months
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