Miguel Amável Pinheiro

Miguel Amável Pinheiro has extensive work experience in the field of machine learning and data engineering. Miguel Amável currently serves as the Machine Learning Lead at MindMed, where they utilize data generated by the company's products to develop machine learning models and AI technologies. Miguel Amável is responsible for accelerating the time to impact for new technologies, designing and implementing experiments, and driving product launches in clinical trials. Prior to joining MindMed, Miguel worked as a Machine Learning Engineer at HealthMode, which was later acquired by MindMed. Miguel Amável also worked as a Data Engineer at Tower Street and CEAI, Inc, where they contributed to the development of industry-specific cyber insurance and AI-driven enterprise products, respectively. Additionally, Miguel has experience as a PhD student at the Czech Technical University, where they developed algorithms for matching neuronal trees in neuronal data images. Miguel Amável has also worked as a Research Assistant at EPFL and conducted research on people and object tracking as a Research Intern at INESC Porto. Miguel started their career as a Consultant at Novabase, where they developed software in the banking sector. Overall, Miguel has a strong background in machine learning, data engineering, and research, and has made significant contributions to various projects and organizations throughout their career.

Miguel Amável Pinheiro pursued higher education at various institutions. Miguel Amável obtained a Doctor of Philosophy (PhD) in Artificial Intelligence from the Czech Technical University in Prague between 2011 and 2017. Prior to that, they completed their Master's degree in Electrical and Computers Engineering, specializing in Telecommunications, at Faculdade de Engenharia da Universidade do Porto from 2005 to 2010. Miguel Amável also participated in an Erasmus program at Chalmers University of Technology in 2008, focusing on Telecommunications and Computer Science. In 2002, they completed their high school education at Escola Secundária Filipa de Vilhena, where their field of study was Sciences.