Julius Ossenberg Engels
About Julius Ossenberg Engels
Julius Ossenberg Engels is a Machine Learning Engineer with a strong background in deep learning and computer vision. He has over five years of experience in the field and has worked with various organizations, including iProov, BMW Group, and Roche Diagnostics.
Work at iProov
Julius Ossenberg Engels has been employed at iProov as a Machine Learning Engineer since 2022. In this role, he focuses on developing and implementing machine learning algorithms to enhance the company's biometric authentication solutions. His expertise in deep learning and machine learning contributes to the advancement of iProov's technology in the security and identity verification sectors.
Education and Expertise
Julius Ossenberg Engels holds a Master of Engineering (MEng) in Engineering Science from the University of Oxford, which he completed from 2012 to 2016. He further pursued a Doctor of Philosophy (PhD) in Biomedical/Medical Engineering at the same institution, finishing in 2021. His educational background is complemented by over five years of experience in deep learning and machine learning, with proficiency in Python libraries such as TensorFlow, Keras, PyTorch, NumPy, and OpenCV.
Background
Julius Ossenberg Engels began his academic journey at Bedford School, where he achieved his International Baccalaureate from 2010 to 2012. He also completed his GCSEs at the same institution from 2009 to 2010. His early career includes various internships and trainee positions at notable organizations such as BMW Group and Roche, where he gained practical experience in engineering and hardware development.
Professional Experience
Throughout his career, Julius Ossenberg Engels has held several entrepreneurial and engineering roles. He worked at Founders of the Future and Innovation Forum in 2021, focusing on HiveCare. He was also part of the LD17 Cohort at Entrepreneur First in London. His experience includes a research position at the University of Oxford, where he contributed as a PhD candidate from 2016 to 2021 and authored peer-reviewed papers in Biomedical Image Analysis.
Research Interests
Julius Ossenberg Engels has a strong interest in various fields related to machine learning and engineering. His research focuses on computer vision problems, generative learning, reinforcement learning, robotics, medtech, and bioengineering. These interests align with his academic background and professional experience, particularly in the context of his work in biomedical engineering and machine learning.