Milan S.

Milan S. has a diverse work experience spanning different scientific fields. They started their career in 2018 as a Research Intern at Kyoto Institute of Technology, where they focused on synthesizing gold nanoparticles and gained practical experience in nanoparticle formation and characterization. In 2019, Milan worked as a Scientific Assistant at TTK, Institute of Cognitive Neuroscience and Psychology, where they contributed to the development and evaluation of a convolutional neural network-based brain-computer interface for EEG classification. They also worked as a Scientific Assistant in the Sound and Speech Perception Group at the same institute, applying NLP tools to extract features from speech transcript data. Most recently, Milan joined Turbine as an AI Scientist in 2021, although further details about their role are not provided. Throughout their career, Milan has demonstrated expertise in various scientific instruments, data analysis, and computer vision-based algorithms.

Milan S. began their education in 2013 at Eötvös Loránd University, where they pursued a Bachelor of Science degree in Physics. Milan completed their undergraduate studies in 2017.

Afterward, Milan joined Pázmány Péter Catholic University in 2017 to pursue a Master of Science degree in Info-Bionics Engineering, specializing in an unspecified field of study. Milan completed their master's degree in 2020.

In the same year, Milan obtained a MOME Open Certificate in Data Visualization from MOME Budapest.

In terms of additional certifications, Milan obtained the following: in January 2020, they completed the "End-to-End Machine Learning with TensorFlow on GCP" course through Coursera. Additionally, in April 2020, Milan completed the "Sequence Models for Time Series and Natural Language Processing" course, also through Coursera. Furthermore, in January 2020, they attained certification in "Image Understanding with TensorFlow on GCP" through Coursera as well.

Based on the provided information, Milan's education history consists of a Bachelor's degree in Physics, a Master's degree in Info-Bionics Engineering, and a specialized certificate in Data Visualization.