# Yossi Eliaz

> Principal Engineer · Applied Scientist · Lecturer. Personal site for public professional background, engineering work, research, teaching, and contact information.

## Summary

Principal engineer and applied scientist building AI execution infrastructure, production ML, and scientific software. My path runs from GPS/navigation and Android/Linux kernel work through computational physics, genomics, autonomous-driving perception, build systems, and secure agent sandboxes.

## Focus

- AI systems & secure execution
- CI runners, caching & sandboxes
- Machine learning & computer vision
- Computational genomics & physical biology
- Open-source engineering & teaching

## Experience

- **Incredibuild / islo.dev — Principal Engineer, AI Systems (Dec 2025 — Present)**: 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.
- **Harvard Medical School — Research Scientist & Visiting Scientist (Mar 2024 — Jan 2026)**: Computational biology and scientific pipelines, including ongoing work connecting cancer transcriptomics, genomics, and quantitative computation.
- **Matia.io — Tech Lead, ML/AI (Mar 2025 — Aug 2025)**: Led ML and AI work across product and engineering, translating model capabilities into production systems and product decisions.
- **Mobileye — Deep Learning & Algorithms Researcher (Dec 2021 — Mar 2024)**: Production perception and road-junction semantics for autonomous driving, with emphasis on reliable global scene understanding and difficult rare cases.
- **NRGene — ML & Data Scientist (Aug 2020 — Nov 2021)**: Industrial genomics and machine learning: genome analysis, CRISPR prediction, iterative learning, and cloud infrastructure for gene-editing workflows.
- **Baylor College of Medicine & Rice University — Computational Scientist (2016 — 2021)**: Computational genomics, 3D genome architecture, Hi-C, ENCODE-scale pipelines, physical biology, simulations, graph theory, and machine learning.
- **Twistlock · Broadcom · Marvell · BAE Systems / Rokar — Software, firmware, kernel, and algorithms roles (2010 — 2016)**: 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.

## Education

- **PhD, Physics**, University of Houston (2020)
- **MSc, Computer Science**, The Hebrew University of Jerusalem (2015)
- **MBA**, The Hebrew University of Jerusalem (2014)
- **BSc, Computer Engineering & Physics**, The Hebrew University of Jerusalem (2012)

## Teaching

- **Holon Institute of Technology — Senior Lecturer & course coordinator — Engineering of Advanced Software Solutions (EASS) (2022 — Present)**
- **Open University of Israel — Lecturer (2021 — 2023)**
- **University of Houston & Rice University — Lecturer and mentor (2016 — 2020)**
- **The Hebrew University of Jerusalem — Teaching Assistant (2010 — 2012)**

## Public links

- [CV PDF](https://yossieliaz.netlify.app/cv/Yossi-Eliaz-CV.pdf)
- [GitHub](https://github.com/zozo123)
- [LinkedIn](https://www.linkedin.com/in/yossi-eliaz)
- [Google Scholar](https://scholar.google.com/citations?user=NL1ZyOgAAAAJ&hl=en)
- [Updates](https://yossieliaz.netlify.app/updates/)
- [Agent guidance](https://yossieliaz.netlify.app/llms.txt)