About

I’m Lucian, a systems researcher and software engineer currently pursuing my M.S. in Computer Science, Networks, Internet and Systems Engineering at the University of Strasbourg, where I also hold a B.S (6th out of 122). I am also enrolled in the highly selective five-year Cursus Master en Ingénierie (CMI) track, accredited by Réseau Figure.
I am drawn to foundational software: tools, runtimes, languages, and infrastructure that other engineers, researchers, and scientists can build on. That interest shaped my systems and networks track, while the CMI added extra technical coursework, research exposure, and training in teamwork and communication.
Currently, I am a visiting student researcher at Northwestern University’s Prescience Lab under Professor Peter Dinda, where I work on systems research and explore how AI can accelerate, support, and potentially automate parts of that work. I also have a systems paper under double-blind review for PLOS 2026.
Previously, advised by Professor Quentin Bramas, I contributed to Althread, an educational language for model checking distributed systems. My work involved extending its Rust compiler, designing a modular import system, and building a web IDE.
Beyond my academic research, I apply my technical expertise to build practical, real-world solutions. During a summer internship at Emerson, I built a full-stack platform that eliminated supply chain bottlenecks and saved over 800 hours annually. Applying this same solutions-oriented approach to open science, I also led a small student team to design a privacy-centric IoT platform for crowdsourcing health and environmental data for scientific research.
My strongest technical areas are systems-oriented software design, C/C++, Rust, TypeScript, and WebAssembly, with practical experience using Linux, Docker, and modern web/backend tooling.
I am actively seeking internship, job, and research collaboration opportunities starting in September 2026. I am especially interested in roles such as systems engineer, software engineer, research engineer, or developer tooling engineer, working around open-source developer tools, agentic tooling, evaluation harnesses, command-line interfaces, runtimes, and infrastructure for making research and engineering workflows more automated and reliable. I am also open to adjacent engineering or research roles where I can build useful systems and learn quickly.