Geert Klop

Senior Machine Learning Engineer at Pacmed

Geert Klop has a range of experience in the field of data science and machine learning. Geert most recently worked at Pacmed as a Senior Machine Learning Engineer and prior to that, as a Machine Learning Engineer. Before joining Pacmed, Geert worked at ARAG Nederland as a Data Engineer. Geert also has experience at Xomnia, where they held positions as a Machine Learning Engineer and a Data Scientist. Geert has worked at Gelre ziekenhuizen as a Data Scientist, where they focused on building standard reports for the mammacare team within the hospital. Geert has also worked at LVNL as a Machine Learning Engineer. Additionally, Geert gained experience as a Science Based Business Intern at MSD Netherlands and held various roles at Leiden University Medical Center, including Student Assistant, Research Intern, and Student Internship. Overall, Geert Klop has a diverse background in data science and machine learning, with experience in both industry and research settings.

Geert Klop's education history is as follows:

From 2016 to 2017, Geert attended Leiden University and studied Science Based Business. However, a specific degree name is not provided.

From 2015 to 2017, Geert pursued a Master's degree at Leiden University in Biomedical Sciences, Management.

Between 2012 and 2015, Geert completed a Bachelor of Science (BSc) at Leiden University, majoring in Biomedical Sciences with a general focus.

In the period from 2005 to 2011, Geert attended Johannes Fontanus College, where they obtained their VWO (secondary education) degree. The field of study is specified as Natuur en Techniek/Natuur en Gezondheid.

In addition to their formal education, Geert obtained a certification in AI for Medical Diagnosis from Coursera in January 2021. The institution providing the certification is also mentioned.

Links

Previous companies

Xomnia | We're hiring logo
Gelre ziekenhuizen logo

Timeline

  • Senior Machine Learning Engineer

    September, 2022 - present

  • Machine Learning Engineer

    February, 2022