Gabriel Melo
PhD Student · Machine Learning · Graphs & Uncertainty
PhD Student · Machine Learning · Graphs & Uncertainty
I'm a second year PhD student at Télécom Paris - Institut Polytechnique de Paris in Applied Mathematics and Computer Science, I'm part of the Signal Statistics and Machine Learning - S2A team . I'm under the supervision of Prof. Florence d'Alché-Buc and Prof. Pavlo Mozharovskyi.
My research lies at the intersection of representation learning and uncertainty quantification. I am particularly interested in developing principled methods for complex structured data, such as graphs. Beyond methodology, I am motivated by AI4Science applications, including learning models for dynamical systems and molecular data. My work spans several areas, including:
Prior to my PhD, I explored a little bit of quantum computing, mainly quantum algorithms (QSVT) and quantum error correction at Yale University.