Benedict Neo is a machine learning engineer with seven years of experience building AI solutions for healthcare and operations, currently developing clinician-facing tools at OpenEvidence from Miami. He blends research and production expertise—recently fine-tuning jina-embeddings-v3 for brain tumor work at UCSF Health and earning 3rd place at the AAPM John Cramer Early Career Investigator Symposium. Benedict has driven data initiatives in industry (Tesla) and academia, authored an R package for soil erosion research, and scaled student communities as founder and president of GDSC at Iowa State. As a Data Science Global Ambassador at HP he organized ChinatownHacks with NVIDIA sponsorship, demonstrating an ability to connect technical ecosystems and talent. He writes about ML (Top 100 contributor at Towards Data Science) and moves smoothly between research, product, and community-building—often surfacing practical models that impact clinical workflows.
7 years of coding experience
2 years of employment as a software developer
Bachelor's degree Statistics, Bachelor's degree Statistics at Iowa State University
Master of Science - MS Data Science, Master of Science - MS Data Science at University of San Francisco
Contributions:166 commits, 161 pushes, 1 branch in 5 months
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Benedict Neo - Machine Learning Engineer at OpenEvidence