
Hello world, I’m Julien!
I’m currently looking for internship opportunities for Summer 2026.
I’m a computer science and mathematics student at Columbia University with a passion for teaching, building systems, and exploring how technology can solve real-world problems. From serving as a Teaching Assistant in advanced CS courses to leading an engineering team at the Columbia Daily Spectator and contributing to research and industry projects, I enjoy learning, creating, and sharing knowledge at the intersection of computing, innovation, and social impact.
Columbia Daily Spectator
I’m an Engineering Manager at the Columbia Daily Spectator, one of the nation’s oldest college newspapers. We produce a wide range of products that serve the Columbia community. I lead the team responsible for the web infrastructure that powers our daily publishing, which has drawn more than 4 million page views in the past year. Previously, I helped develop our mobile app, which launched successfully on iOS last fall and is now preparing for its Android release.
Some other projects I’ve worked on at Spectator include: CULPA, theShaft.
Teaching Assistant
I’m a Teaching Assistant for Columbia’s Computer Science department. My job involves conducting labs and recitations, grading homeworks and exams, and holding office hours.
Here are some of the classes I’ve recently TAed, and some evaluations I’ve received from students:
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Fall 25
COMS 4995-007 C++ Deep Dive for C Programmers
A course that teaches C++ along with the principles behind its design.
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Fall 25, Fall 24
COMS 3157 Advanced Programming
Columbia's systems programming course.
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Spring 25
COMS 2132 Intermediate Computing in Python
Essential Data Structures and Algorithms for Non-CS Majors.
Intermediate Computing in Python was newly introduced the semester I served as a TA. I helped design lab materials that emphasized course content and practical software development skills, including version control with Git and incremental development techniques.
Cool Internships
Audience Satisfaction
I worked at Audience Satisfaction, a startup leveraging AI to predict and optimize audience reactions and sentiment across video content, helping advertisers and filmmakers sustain audience engagement. There, I developed video understanding pipelines and LLM-based evaluation systems, incorporating cognitive science knowledge data to achieve these goals.
Piper Heidseck champagne house
As an intern in their IT department, I redesigned their truck-delivery data synchronization system, cutting the time for distribution partners’ order and shipment updates from hours down to minutes.
French National Centre for Scientific Research (CNRS)
I was a research intern at the MILES research lab at CNRS and Dauphine University in Paris, where I worked on quantifying uncertainty in large language models. I designed and ran experiments, surveyed and analyzed scientific papers.
Social Impact & Fondation Abeona
For over six years, I’ve had the chance to volunteer with Fondation Abeona, a French nonprofit that champions responsible and sustainable AI. That experience shaped the way I think about technology. I’ve seen moments where innovative tools opened doors, created opportunities, and brought people closer together. But I’ve also seen how, without care, those same tools can unintentionally deepen existing inequalities. These lessons remind me why I want my work in computer science to carry a broader purpose: building technologies that don’t just advance what’s possible, but also which takes in account the wellbeing of everyone.
Hobbies & Fun
I love opera, music, and theater in general. I’ve participated in several junior productions at the Salzburg Opera Festival. I also enjoy watching movies, dancing, and taking pictures.
Contact me
Let’s connect—drop me a message, and let’s start a conversation:
