Marcelo Moreno Suárez
About Marcelo Moreno Suárez
Marcelo Moreno Suárez is a Senior Machine Learning Engineer at Multiverse Computing, with a strong background in classical and quantum computing. He holds multiple degrees in engineering and computer science, and actively contributes to machine learning projects on GitHub.
Work at Multiverse Computing
Marcelo Moreno Suárez serves as a Senior ML Engineer at Multiverse Computing, a position he has held since 2023. In this role, he focuses on the development of quantum and quantum-inspired algorithms tailored for machine learning and optimization. His work is based in Donostia-San Sebastián, País Vasco / Euskadi, España, where he applies his expertise in both classical and quantum computing paradigms to address complex machine learning challenges.
Education and Expertise
Marcelo has a diverse educational background, having studied at prestigious institutions. He completed his Licenciado in Physics at Universidad Complutense de Madrid from 2002 to 2009. He furthered his studies in computer science and engineering at Stanford University, where he specialized in Machine Learning and Deep Learning in 2018. Additionally, he studied at Noble Work Foundation, achieving certifications in Programming with Julia and PyTorch Ultimate. His expertise spans multiple programming languages, with a strong focus on Julia, which is utilized for high-performance numerical analysis.
Previous Work Experience
Prior to his current role, Marcelo worked as a Data Scientist at Centro Nacional de Energías Renovables (CENER) from 2021 to 2023. He also held a Data Scientist position at HELPHONE from 2018 to 2021. Earlier in his career, he served as a Becario de investigación at Universidad Complutense de Madrid in 2009. These roles contributed to his extensive experience in data science and machine learning.
Technical Skills and Tools
Marcelo possesses a strong foundation in advanced data visualization tools, including Plotly and Seaborn, which he uses to create interactive and informative visualizations. His skill set encompasses a wide range of programming languages and frameworks, enabling him to tackle various machine learning and data science projects effectively. He maintains an active GitHub profile, showcasing his contributions and projects in these fields.