Guillaume P.

About

As a former co-founder and CTO at Magic Carpet AI, I have extensive experience in machine learning in finance. Additionally, my expertise in computational neuroscience and image processing has allowed me to develop innovative algorithms for medical applications, such as interstitial brachytherapy catheter localization and segmentation. I also have a unique perspective on non-invasive cardiac assist and support devices, gained through my experience at CorInnova and Harvard Medical School. With a double degree from Technische Universität München and École Centrale de Marseille, as well as a PhD from Imperial College, I bring a strong academic background to my work. On my free time, I integrate large language models (such as ChatGPT) into a digital travel assistant. I am fluent in English, French, and German, and I am always looking for new challenges that allow me to apply my skills and expertise.

Experience

• Principal Quantitative Researcher · Blockchain.com11-01-2021 – 11-01-2022

  As a Principal Quantitative Researcher, likely contributed to developing quantitative models and strategies for blockchain technology and cryptocurrency markets.

• Co-Founder, Chief Technology and Artificial Intelligence Officer · Magic Carpet AI01-01-2018 – 11-01-2021

  Applying deep reinforcement learning to trading. Acquired in November 2021 by Blockchain.com.

• PhD - Computational Neuroscience · Imperial College London11-01-2014 – 11-01-2017

  Investigated how plasticity of electrical synapses shapes dynamics of ensemble of neurons and could be involved in information transfer between brain regions. Research was based on modeling neural networks from experimental data to create insight on local and global phenomena. Also served as a Graduate Teaching Assistant in Computational Neuroscience, Mathematics, and Python Programming courses, and managed lab computing resources.

• Software Developer · Qualimatest06-01-2013 – 10-01-2014

  As a Software Developer, likely contributed to developing and maintaining software solutions, ensuring quality and performance.

• Research Trainee - Surgical Planning Laboratory · Harvard Medical School06-01-2012 – 12-01-2012

  Conducted master thesis research at the Surgical Planning Laboratory, focusing on mathematical algorithm development in image segmentation and registration, design of an evaluation phantom, and efficient software documentation.

Education

• Imperial College LondonDoctor of Philosophy (Ph.D.), Computational Neuroscience
• Technical University of MunichDiplom Ingenieur Maschinenwesen, Medizintechnik, Mikrotechnik
• Centrale MéditerranéeGeneralist Engineering, Mathematics and Computer Science
• LakanalClasses préparatoires, Mathématiques-Physique
• Paris-Sud University (Paris XI)L2, Science, Technologie et Santé

Similar talent on Pangea

Daniel H.Computer Vision R&D Engineer | AI-Powered AR | Master's in Computer ScienceBeijing, ChinaMatt V.Lead Engineer (AI/ML) | ML Systems, No-Code AI Platforms & Tech LeadershipLondon, UKZakaria L.Freelancer / Building AI Agents for financial servicesMontreal, QCNikita A.AI/ML Expert with 10+ Years in Intelligent Systems, Neuroscience & Quantitative ResearchMountain View, CA