Sara Tähtinen has a diverse range of work experience in the field of data science and research. Sara is currently a Senior Data Scientist at Combient Mix, starting in September 2021. Prior to this, they worked at DAIN Studios as a Data Scientist from November 2019 to September 2021. In this role, they focused on deep learning, computer vision, and medical images as part of the AIGA consortium project.
Before joining DAIN Studios, Sara was a Machine Learning Developer at ZenRobotics Ltd. from August 2018 to November 2019. Sara worked on the development of the Fast Picker, a sorting robot for the waste industry. Sara'sresponsibilities included sorting small household packages and meeting high purity requirements.
Sara's academic background includes a role as a PhD Student at the University of Helsinki from June 2014 to July 2018. Sara'sresearch focused on studying the production of gravitational waves in the early universe using lattice simulations. Sara also presented at international conferences and attended workshops abroad. Prior to their PhD studies, they worked as a Summer Trainee in both the space physics department and material physics department at the University of Helsinki in 2013 and 2012, respectively. In these roles, they conducted research on topics such as electron acceleration during magnetic reconnection and tungsten fuzz formation under low-energy helium irradiation.
Overall, Sara Tähtinen has a strong background in data science, machine learning, and academic research, with experience in both industry and academic settings.
Sara Tähtinen began their education at the University of Helsinki in 2010, where they pursued a Bachelor's degree in Theoretical Physics. Sara completed this degree in 2013. Following their undergraduate studies, they continued at the same institution to obtain a Master's degree in Theoretical Physics, which they completed in 2014. Afterward, Sara pursued further education and enrolled in a Doctor of Philosophy (PhD) program at the University of Helsinki. Sara successfully completed their PhD in Theoretical Physics in 2018.
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