Oren Avram is a Lead Applied AI Scientist with 11 years of experience developing AI-driven computational methods for biomedical data, currently simplifying healthcare at Optum and advising TriFetch. He combines a PhD in computational genomics and proteomics with hands-on work in medical imaging foundation models—his SLIViT model for 3D scans (OCT, MRI, CT, ultrasound) gained NVIDIA recognition—plus deep expertise in genomics, proteomics, and EHR analytics. Oren has a strong academic-to-industry trajectory, from creating the widely used M1CR0B1AL1Z3R web server to influencing COVID policy through mobility-based mortality modelling. He is also an experienced educator who repeatedly earned teaching excellence awards while mentoring students and running practical Python workshops. Known for bridging rigorous research and production-ready tools, he builds models and systems that improve clinical decision-making and patient care across diverse biomedical modalities.
10 years of coding experience
8 years of employment as a software developer
Master of Science (MSc) Computer Science with specialization in Bioinformatics, Master of Science (MSc) Computer Science with specialization in Bioinformatics at Blavatnik School of Computer Science and AI, Tel Aviv University
Bachelor of Sciences (BSc) Computer Science and Life Science with specialization in Bioinformatics, Bachelor of Sciences (BSc) Computer Science and Life Science with specialization in Bioinformatics at Tel Aviv University
Doctor of Philosophy (PhD) Computational Genomics and Proteomics, Doctor of Philosophy (PhD) Computational Genomics and Proteomics at Shmunis School of Biomedicine and Cancer Research, Tel Aviv University
A computational pipeline for high resolution profiling of the IgOme
Contributions:114 pushes, 1 branch in 2 years 3 months
profilinginfinibandpipelineresolutionc-plus-plus
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