User:Hugo koopmans

Hugo Koopmans

Hugo Koopmans is Chief Data Scientist at DIKW Intelligence and Chief Technology Officer at Sensing Clues Wildlife Intelligence. He has more than 25 years experience in the field of data mining, now called data science aka Artificial Intelligence. Hugo is a data scientist pur sang, involved in this field before it got it's name. Specialized in the development of decision support models for predicting customer behavior, he has a proven track record of using and implementing these data based decision models.

His main goal is to help organizations create value from their data.

The last few years his ambitions focus on building knowledge graphs. The field of semantic web and ontology based search is rapidly advancing. In combination with the explosion of deep neural networks, foundational models on vision and text and transformers this combination is quite intriguing. Having developed one of the first sound classification deep neural networks in 2015 Hugo is an early adopter of AI and by now an expert in this rapidly evolving field.

At Sensing Clues we try to turn Wild spaces into Safe havens, by using state of the art machine learning and AI technologies to fight wildlife crime and help mitigate Human Wildlife Conflict. In 2020 Hugo was part of the team that delivered state-of-the-art computer vision classifiers for automating the handling of wildlife camera traps and runner up in the iWildcam 2020 kaggle competition.

Hugo is the founder of DIKW Academy (2010) and his course on datascience in running successfully for more then 10 years now, hundreds of students have been trained by Hugo and his team in the past decade.