Yossi Eliaz

Principal Engineer, AI Systems

AI execution infrastructure spanning forkable Linux sandboxes, CI runners, snapshots, caching, traces, reproducible environments, and build acceleration; public work includes agentic MapReduce, OSS CI experiments, and technical writing on Bazel, GitHub Actions, Rust, and kernel builds.

Research Scientist & Visiting Scientist

Computational biology and scientific pipelines, including ongoing work connecting cancer transcriptomics, genomics, and quantitative computation.

Tech Lead, ML/AI

Led ML and AI work across product and engineering, translating model capabilities into production systems and product decisions.

Deep Learning & Algorithms Researcher

Production perception and road-junction semantics for autonomous driving, with emphasis on reliable global scene understanding and difficult rare cases.

ML & Data Scientist

Industrial genomics and machine learning: genome analysis, CRISPR prediction, iterative learning, and cloud infrastructure for gene-editing workflows.

Computational Scientist

Computational genomics, 3D genome architecture, Hi-C, ENCODE-scale pipelines, physical biology, simulations, graph theory, and machine learning.

Software, firmware, kernel, and algorithms roles

Systems foundations across container security and firmware; at Marvell, Android/Linux-kernel work on PXA mobile platforms used by Samsung devices; at BAE Systems / Rokar, GPS and navigation algorithms in a guidance-systems environment.