Edwin Carreño
Bioinformatician
Biography
Edwin Carreño is an engineer with experience in ASIC design, computer architecture, and large-scale data processing. In industry, he has contributed to developing data pipelines, supporting infrastructure decisions, and applying machine learning techniques for applications such as fraud detection. His academic work includes the design and implementation of an integrated circuit for data compression in the ALICE experiment at CERN, completed with a silicon tapeout in 130nm technology at TSMC. During his master’s studies, he focused on software engineering and deep learning, particularly in computer vision and inference under uncertainty, with both his bachelor’s and master’s theses earning the maximum grade.
Research Interests
Research Software EngineeringDesign of systems for data intensive applicationsBiological circuits designComputer ArchitectureComputer Vision (including embedded machine learning)
Professional Career
2024-present
Research Software Engineer, Scientific Software Center (Heidelberg University), Heidelberg, Germany
2023-2024
Research Assitant with a scientific degree, Process Optimization Group, Ilmenau, Germany
2021-2023
Research Assitant (HiWi), dAI.SY (Data-intensive Systems and Visualization) Group, Ilmenau, Germany
2017-2020
Data Engineer, Banco Davivienda S.A, Bogotá, Colombia
2016
Electronics Engineer, Agromax Tecnologia S.A, Arauca, Colombia
Education
2021-2023
M.Sc. Research in Computer and Systems Engineering; Technische Universitaet Ilmenau, Ilmenau, Germany
2009-2016
Bachelor of Science in Electronics Engineering, Universidad Industrial de Santander, Bucaramanga, Colombia