Quint van Oorschot
MSc student at TU/e, exploring quantitative finance, machine learning, and software engineering.
I'm interested in building systems where software, data, and probablistic decision-making meet, especially in quantitative finance and machine learning.
I enjoy turning research ideas into concrete tools, models, and experiments with an emphasis on work that can be tested against real-world problems. I'm currently pursuing MSc degrees in Computer Science & Engineering and Data Science & Artificial Intelligence at Eindhoven University of Technology.
Research projects, publications, and related academic work.
Uncertainty in Artificial Intelligence research group @ TU/e
Capgemini Group and Radboud University Department of Data Science
Selected software projects and open-source work inspired by personal studying and research.
A neuro-symbolic tool for automatically detecting and repairing flaky tests in GitHub Actions, developed as part of my bachelor's thesis in collaboration with Sogeti (Capgemini Group).
A Python-based tool for measuring and analyzing financial portfolio risk through statistical modelling and quantitative methods.
A discrete-event market microstructure simulator for exploring limit order books, matching engines, and agent-based trading.
Activities and interests outside coursework, from student societies and teaching to community involvement.
Analyzing markets and investment opportunities, developing trading strategies and discussing portfolio decisions within my investment group.
Explain the work and scale. Awards can sit here, but impact is usually more interesting than a list of titles.
A long-running pursuit—writing, music, photography, athletics, language, hardware, community organizing—described without overselling it.