Thom Sentner

Thom Sentner has a strong background in machine learning and data science. Thom has recently been working as a Machine Learning Engineer at ING, where they played a lead role in an agile scrum squad and was responsible for multiple classification models. Thom successfully migrated models to a GCP environment and implemented MLOps practices. Prior to this, Thom held a similar position at Xomnia, where they focused on machine learning engineering. At HEMA, they worked as a Machine Learning Engineer and delivered a Python Dash concept dashboard for visualizing KPIs. Earlier in their career, Thom worked as a Data Scientist at UMC Utrecht, where they were involved in projects related to neonatal intensive care and hosted training sessions on data engineering. Thom also gained experience as a Junior Data Scientist at Xomnia and as an Associate Contract and Proposal Manager at CATO SMS. Thom has a strong educational background, including a Master's degree in Biomedical Sciences from Leiden University and an internship at the University of California, San Diego, where they were awarded the LUMC Student Research Award.

Thom Sentner's education history begins in 2010 when they enrolled at HU University of Applied Sciences Utrecht (Hogeschool Utrecht). Thom pursued a Bachelor of Applied Science (BASc) degree in Life Sciences, specializing in Microbiology. Thom completed their undergraduate education in 2014.

In 2014, Thom transitioned to Leiden University to further their studies. Thom participated in a Premaster Biomedical Sciences program, but the specific degree earned during this period is not provided.

From 2015 to 2017, Thom completed their Master of Science (MSc) degree at Leiden University. Their field of study was Biomedical Sciences, with a specialization in Bioinformatics.

This chronological information outlines Thom Sentner's education trajectory, highlighting their progression from a Bachelor's degree in Life Sciences to a Master's degree in Biomedical Sciences with a Bioinformatics specialization.