Antonios Poulakakis Daktylidis

Lead Machine Learning Engineer @ BenevolentAI

About Antonios Poulakakis Daktylidis

Antonios Poulakakis Daktylidis is the Lead Machine Learning Engineer at BenevolentAI in London, with a background in Electrical and Computer Engineering and Biomedical Engineering.

Lead Machine Learning Engineer at BenevolentAI

Antonios Poulakakis Daktylidis currently holds the position of Lead Machine Learning Engineer at BenevolentAI in London, England. His role involves developing scalable data engineering workflows to support healthcare and drug discovery initiatives. In this capacity, he collaborates closely with scientists to apply machine learning methods to uncover disease biology.

Previous Roles at BenevolentAI

Before becoming the Lead Machine Learning Engineer, Antonios served as a Senior Machine Learning Engineer at BenevolentAI from 2022 to 2023. He also worked as an Advanced Machine Learning Engineer from 2020 to 2021. Throughout these roles, he contributed significantly to the application of machine learning in healthcare and drug discovery.

Data Scientist Experience at Ravelin Technology

Antonios Poulakakis Daktylidis gained valuable experience as a Data Scientist at Ravelin Technology. He started as a Junior Data Scientist in 2018 and later served as a Data Scientist in 2019. During his 20-month tenure, he developed his skills in data analysis and machine learning applications in the tech industry.

Research Assistant at Campus Biotech

In 2016, Antonios worked as a Research Assistant at Campus Biotech in the Geneva Area, Switzerland, focusing on neurotechnology and brain connectivity analysis. This role allowed him to delve into the intricacies of psychophysiological interactions and whole brain model-based connectivity.

Education and Academic Background

Antonios holds a Master's degree in Biomedical Engineering with a Neurotechnology specialization from Imperial College London, which he completed in 2017. He earned his MEng Thesis on 'Whole brain model-based connectivity analysis and psychophysiological interactions' from EPFL in 2016. Additionally, he completed a Master of Engineering in Electrical and Computer Engineering from Aristotle University of Thessaloniki in 2015.

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