Anna Akhmetyanova

Junior R&D Engineer at Quantib

Anna Akhmetyanova has a diverse work experience in various roles and companies. In 2018, they worked as a Course Developer and Teacher at the Organization of Additional Education for Children and Adults "DIO-GEN". In the same year, they also completed a Computational Physics Bachelor Thesis at the Voevodsky Institute of Chemical Kinetics and Combustion SB RAS, where they developed a method for optimizing the computation of Sommerfeld integrals within a C code for simulating light scattering. In 2019, they served as a Team Supervisor for a middle school students team during a mathematical research competition at the same organization.

In 2020, Anna worked as a Teaching Assistant at Technische Universiteit Delft, where they provided support and assistance to students in physics and mathematical courses. At the same time, they conducted their Master Thesis on MR Physics at Erasmus MC, where they performed image registration and analysis of BOLD MRI images of placenta using Principal Component Analysis and Independent Component Analysis.

In 2021, Anna undertook an internship as a Data Analysis Intern at HollandPTC, gaining experience in analyzing and interpreting data. Currently, they hold the position of Junior R&D Engineer at Quantib since March 2022.

Overall, Anna Akhmetyanova has developed a strong background in research, teaching, and data analysis through their various work experiences.

Anna Akhmetyanova completed their Bachelor's degree in Physics at Novosibirsk State University (NSU) from 2015 to 2019. Following their undergraduate studies, they pursued a Master's degree in Applied Physics at Delft University of Technology from 2019 to 2021.

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Quantib

At Quantib we come to work every day to help physicians solve the hardest challenges they face when diagnosing patients. Our smart software analyzes medical images to unravel secrets hidden to the naked eye. Are you excited to learn more about how artificial intelligence techniques can move healthcare forward and help our marketing department tellthis story to the world? We’d love for you to join our tight team of 22 conquering the medical world with deep learning software.


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