Lucas Hadjilucas
About Lucas Hadjilucas
Lucas Hadjilucas is a Senior Machine Learning Engineer at Callsign in London, England, where he has worked since 2023. He has extensive experience in data science and image processing, having held various roles at organizations such as nate, Skin Analytics, and King's College London.
Work at Callsign
Lucas Hadjilucas has been employed at Callsign as a Senior Machine Learning Engineer since 2023. His role involves leveraging machine learning techniques to enhance the company's offerings. Based in London, England, he contributes to the development of innovative solutions that utilize advanced data analytics.
Previous Experience in Data Science
Prior to his current position, Lucas worked at nate as a Lead Data Scientist from 2019 to 2023. He initially joined the company as a Senior Data Scientist for a brief period in 2019. His experience at nate involved applying data science methodologies to drive business insights and improve decision-making processes.
Academic Background
Lucas obtained his Doctor of Philosophy (Ph.D.) in Image Processing from Imperial College London, where he studied from 2009 to 2013. He also earned a Master of Engineering (M.Eng.) in Biomedical Engineering with an Electrical Engineering orientation from the same institution, completing his studies from 2005 to 2009. His academic background provides a strong foundation for his work in machine learning and data science.
Research and Teaching Experience
Lucas served as a Research Associate at King's College London from 2013 to 2015, focusing on research initiatives in his field. Additionally, he worked as a Teaching Assistant at Imperial College London from 2009 to 2013, where he supported academic programs and assisted students in their learning.
Professional Roles in Image Processing
Lucas held the position of Senior Image Processing Engineer at Skin Analytics from 2015 to 2017, where he applied his expertise in image processing technologies. He also worked as a Data Scientist at Founders Factory Ltd from 2017 to 2018, further expanding his skills in data analysis and machine learning applications.