Abalone AI Agent
Designed an AI agent capable of playing the board game Abalone using Minimax with advanced optimizations. Developed at Polytechnique Montréal for the AI Methods course.
View on GitHub →
Matterhorn sunset — Q. Lao
I am a Forward Deployed AI Scientist at BCG X, where I work on applied AI and machine learning for real-world business problems. My background combines rigorous scientific training at École polytechnique with hands-on experience in consulting, research, and software engineering.
I care about structure, clarity, and precision in my work, but I am equally drawn to creative expression. Photography, music production, video editing, and exploring mountain landscapes are all part of how I think and what fuels my curiosity.
I tend to approach problems quietly and thoughtfully: first by observing, then by understanding, and finally by building with intention.
Ingénieur Polytechnicien Program (Master's)
Palaiseau, France
Focus on mathematics, computer science, and machine learning. Coursework in network security, operating systems, deep learning, stochastic processes, and business strategy.
Double Degree in Computer Science
Montréal, Canada
Coursework in data mining, big data, advanced machine learning, computer vision, and natural language processing. Ranked 1st out of 195 students in Advanced Machine Learning.
Classes préparatoires (MPSI / MP)
Paris, France
Two-year intensive program in mathematics, physics, and computer science, preparing for nationwide competitive entrance exams to top engineering schools.
Designed an AI agent capable of playing the board game Abalone using Minimax with advanced optimizations. Developed at Polytechnique Montréal for the AI Methods course.
View on GitHub →Optimized delivery logistics for a private French company to minimize costs and carbon footprint. Built a machine learning model to predict road traffic patterns across Paris.
View on GitHub →Used machine learning to predict retweet counts as part of a competitive challenge. Co-authored a methodology paper documenting the approach and results.
View on GitHub →Created a short film in 36 hours for an interuniversity contest, winning the grand prize. Collaborated on script, filming, and editing under creative constraints.
Watch on YouTube →In the mountains, everything becomes clearer: light, scale, perspective. Photography is my way of capturing that feeling. The Matterhorn shot above is one of mine, and it reflects what draws me most: calm, altitude, and simplicity.
Music has always been my balance between structure and emotion. Whether on piano, guitar, or in production, I’m drawn to rhythm, nuance, and the point where technical precision turns into expression.
Editing taught me that storytelling often lives in the details: the cut, the pace, the silence between two moments. That fascination led me to win the Rush de Centrale prize, but above all it shaped how I think about clarity and emotion.
Volleyball was one of my first lessons in collective performance. Playing for École polytechnique taught me the energy of teamwork, trust, and momentum; and the simple joy of building something together on the court.
Feel free to reach out - I'm always happy to have a conversation.