Mikel Zemborain has a comprehensive and diverse work experience. Mikel started their career as a Research Assistant and Teaching Assistant at Hamilton College, where they gained experience in physics and research. Mikel then worked as an intern at Fermilab before joining the University of Chicago as a Graduate Research Assistant, where they focused on computer vision and machine learning. At CERN, Mikel worked as a Data Scientist, contributing to the development of neural networks and unsupervised learning algorithms. Mikel also worked at Pixel Scientia Labs, LLC as a Computer Vision Engineer, where they implemented machine learning techniques for computational pathology solutions. Currently, Mikel is an Associate in Quantitative Engineering at iCapital. Overall, their work experience showcases their expertise in various areas of science and technology, particularly in the field of data analysis and machine learning.
Mikel Zemborain attended Choate Rosemary Hall from 2012 to 2015. However, no degree or field of study information is provided for this period. From 2015 to 2019, Mikel attended Hamilton College and obtained a Bachelor's degree in Physics. Continuing their education, from 2016 to 2019, they pursued a Bachelor of Arts in Physics at Hamilton College. Finally, Mikel attended the University of Chicago from 2019 to 2020, where they earned a Master of Science degree in Physical Sciences.
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