ágnes Gubicza
About ágnes Gubicza
Ágnes Gubicza is a Data Scientist with a strong academic background in Physics, holding both a Master of Science and a Doctor of Philosophy from Budapest University of Technology and Economics, as well as a Diploma of Advanced Studies in Data Science from ETH Zürich. She specializes in data visualization, machine learning, and biostatistical analysis, applying her skills in various roles within the diagnostics and research fields.
Work at Mettler-Toledo International
Currently, Gubicza serves as a Data Scientist at Mettler-Toledo International, Inc. She has held this position since 2021. In her role, she applies her expertise in data science to analyze and interpret complex data sets, contributing to the company's objectives in measurement and automation.
Education and Expertise
Gubicza earned a Master of Science (MSc) in Physics from Budapest University of Technology and Economics, studying from 2011 to 2013. She furthered her education by obtaining a Doctor of Philosophy (PhD) in Physics from the same institution between 2013 and 2016. Additionally, she completed a Diploma of Advanced Studies (DAS) in Data Science at ETH Zürich from 2020 to 2021. Her educational background equips her with a strong foundation in data visualization, machine learning algorithms, and measurement automation.
Background
Gubicza has a diverse professional background that includes roles in academia and industry. She worked as a Research Associate at Budapest University of Technology and Economics in 2017 and later served as a Postdoctoral Researcher at Empa in Zürich from 2017 to 2019. Her experience also includes a brief internship at the National Institute for Materials Science in Japan in 2016 and project work at Roche Diagnostics Europe from 2020 to 2021.
Achievements in Data Science and Biostatistics
Gubicza possesses significant skills in data visualization and machine learning algorithms, which she applies to derive insights from real-world data in physical and biological contexts. Her experience includes biostatistical analysis within the diagnostics field, where she has contributed to projects that leverage data science methodologies.
Previous Work Experience
Prior to her current role, Gubicza worked at Roche Diagnostics Europe as a Development Engineer for two months in 2021. She also engaged in project work at Roche Diagnostics Europe from 2020 to 2021. Her earlier roles include a position as an Intern at the National Institute for Materials Science in Japan and a Research Associate at Budapest University of Technology and Economics.