Ilse van Beelen

Ilse van Beelen has a diverse work experience spanning from 2015 to 2022. Ilse is currently working as a Machine Learning Engineer at Xomnia, starting in March 2022. Prior to this, from 2021 to 2022, they worked as a Data Scientist & Engineer at KBenP. In this role, they designed a Machine Learning model for a debt recovery agency and deployed a deep learning model for a municipality.

Before KBenP, Ilse held two roles at Universiteit Leiden. From 2018 to 2021, they worked as a Teaching Assistant in Statistics, and from 2016 to 2019, they served as a Student Assistant for the Junior Science Lab, where they accompanied school children and facilitated science experiments.

Additionally, Ilse gained experience as an Intern at the Centre for Human Drug Research from 2017 to 2018. In this role, they conducted statistical analysis for a project on the efficacy and safety of a blood pressure lowering drug.

Ilse'searliest work experience was as a Board Member of the Study Association of Bio Pharmaceutical Sciences at L.P.S.V. "Aesculapius" from 2015 to 2016.

Ilse van Beelen has a diverse educational background in the field of statistics, data science, and bio-pharmaceutical sciences. Ilse completed their MSc in Statistics & Data Science at Leiden University from 2018 to 2020. Prior to that, they pursued a minor in MedTech Based Entrepreneurship at Delft University of Technology from 2016 to 2017. Ilse obtained their Bachelor's degree in Bio-Pharmaceutical Sciences from Leiden University in 2017.

In addition to their degrees, Ilse also holds several certifications. In February 2021, they obtained the AZ-900: Microsoft Azure Fundamentals certification from Microsoft. Ilse also achieved their VWO certification in June 2013 from Grotius College Delft before enrolling at the university. Furthermore, they obtained their BSc in Bio-Pharmaceutical Sciences from Universiteit Leiden in September 2013.

Based on the available information, it can be concluded that Ilse van Beelen has a strong academic background with expertise in the fields of statistics, data science, and bio-pharmaceutical sciences.