Sander Poot

Sander Poot

Intern Computational Biology @ Barcelona Supercomputing Center

About Sander Poot

Sander Poot is an intern in Computational Biology at the Barcelona Supercomputing Center, where he has worked since 2022. He holds a Bachelor of Science in Biomedical Technology and a Master of Science in Biomedical Engineering from Technische Universiteit Eindhoven, where he also served as a student assistant in various roles.

Work at Barcelona Supercomputing Center

Sander Poot currently serves as an Intern in Computational Biology at the Barcelona Supercomputing Center. He has been in this role since 2022, contributing to various projects within the field of computational biology. His work involves applying computational techniques to biological data, which is essential for advancing research in this area.

Education and Expertise

Sander Poot completed his Bachelor of Science in Biomedical Technology at Technische Universiteit Eindhoven from 2016 to 2020. He then pursued a Master of Science in Biomedical/Medical Engineering at the same institution, graduating in 2022. His educational background provides a solid foundation in both engineering principles and biological sciences, equipping him with the necessary skills for his current role.

Background

Before joining the Barcelona Supercomputing Center, Sander Poot worked as a Student Assistant at Technische Universiteit Eindhoven. He held positions in Challenge Based Learning focused on Ethics & Data Analytics for two months in 2021 and in Programming & Genomics for three months from 2020 to 2021. These experiences allowed him to gain practical knowledge and skills in programming and data analysis within a research context.

Research Contributions

Sander Poot has conducted research on creating context-specific metabolic models for patients with Chronic Lymphocytic Leukemia. This research involved integrating gene expression and essentiality data, showcasing his ability to apply computational methods to real-world biological problems. Additionally, his Bachelor thesis focused on modeling the progression of obesity using a conceptual differential equation model, further demonstrating his analytical skills.

Interests and Skills

Sander Poot has a keen interest in programming, mathematics, and systems biology. These interests align with his academic and professional pursuits, allowing him to effectively engage in computational biology. His skill set includes programming and data analysis, which are critical for his work in developing models and analyzing biological data.

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