Summary
Alina Suleimanova is a doctoral researcher at Aalto University with a decade of experience bridging data science, computational neuroscience, and clinical applications. She develops and refines algorithms for whole-brain modeling to produce reliable phenotypes and biomarkers, translating complex brain oscillation data into actionable research outputs. With a background in biomedical engineering (MSc) and computer science (BSc), she combines rigorous computational skills with domain knowledge in neuroimaging and biomarker discovery. Previously she contributed to research teams at B-Rain Labs and Kazan State University, gaining hands-on experience in experimental and analytical pipelines. Based in Helsinki, she brings a practical, problem-solving mindset to multidisciplinary projects and a clear drive to turn theoretical models into clinically relevant tools.
10 years of coding experience
7 years of employment as a software developer
Master's degree, Biomedical Engineering, Master's degree, Biomedical Engineering at Aalto University
Bachelor's degree, Computer science, Bachelor's degree, Computer science at Казанский государственный университет им. В.И. Ульянова-Ленина
English, Finnish