Arnau Vilella is a PhD candidate at The Hong Kong University of Science and Technology, where he is a recipient of the Hong Kong PhD Fellowship Scheme. He holds a Bachelor’s Degree in Mathematics and another in Data Science and Engineering from the Universitat Politècnica de Catalunya (CFIS center).
Previously, he has interned as a Machine Learning Engineer at HP in Barcelona and as a Quantitative Strategist at Goldman Sachs in London.
His research interests lie at the intersection of optimization and machine learning, with a focus on applications in finance. He is a member of the HKUST Convex Optimization in Finance Group.