I am Natalya Meduntseva, currently finishing a Master’s degree in Astrophysics and Cosmology at Alma Mater Studiorum – Università di Bologna, Italy. My academic journey began with a Bachelor’s degree in Physics from Al-Farabi Kazakh National University, where I developed a strong foundation in theoretical and experimental physics. Throughout my studies, I have been deeply involved in research projects, including my thesis on chemical complexity in young protostellar disks, which is part of the FAUST ALMA Large Program.
My passion for astrophysics is complemented by my skills in data science and scientific computing. I am proficient in Python, R, SQL, MATLAB, and other tools essential for data analysis and visualization. I have applied these skills in various research roles, including my current position as a Senior Laboratory Assistant, where I conduct high-precision R&D analysis and contribute to national programs on plant resource growth and climate change modeling.
In addition to my research experience, I have worked as a Systems Engineering Assistant, optimizing laboratory information systems and implementing digital strategies to improve supply chain management. This role has enhanced my ability to bridge technical IT infrastructure with scientific requirements, ensuring efficient and secure data management.
I have also gained teaching experience through an internship at the Republican School of Physics and Mathematics, where I facilitated seminars and developed interactive learning resources. This experience strengthened my communication skills and my ability to engage students in complex scientific topics.
My academic and professional journey is supported by several honors and grants, including scholarships and participation in international conferences and summer schools. I am fluent in Russian and English, with intermediate skills in Kazakh and Italian, and beginner knowledge of Japanese. I am committed to advancing my expertise in astrophysics and contributing to impactful scientific research.
Supervisor: Prof. Leonardo Testi, Co-supervisor: Dr. Eleonora Bianchi. Thesis: Chemical complexity in a young Class I protostellar disk (Official involvement in the FAUST ALMA Large Program)
Supervisor: Prof. Boshkayev K.A. Thesis: Quasinormal modes and their astrophysical implications
Conducted high-precision R&D analysis of organic substances using GC-MS and UV-Vis, processing multi-dimensional datasets to identify complex chemical profiles. Applied advanced quantitative methods to validate findings for the national program on plant resource growth (2023-2025), contributing to climate change impact modeling. Co-authored research for Q1/Q2 journals, utilizing Python/Excel for data visualization and managing international database workflows (SCOPUS, Web of Science). Maintained a peer-recognized research profile with an h-index of 6.
Optimized and supported the company’s Laboratory Information System (LIS), ensuring data integrity, automated backups, and cybersecurity protocols. Developed and implemented a digital strategy for supply chain management via webshop.roche.com, reducing manual entry errors and improving order efficiency. Performed trend analysis on reagent supply cycles, identifying bottlenecks and implementing data-driven solutions that led to significant cost reductions. Bridged the gap between technical IT infrastructure and medical laboratory requirements to enhance overall system performance.
Facilitated physics seminars on Electrodynamics, implementing collaborative problem-solving frameworks to optimize student engagement and academic productivity. Developed a structured approach to student performance analysis, identifying learning patterns through behavioral and academic data points. Integrated interactive online resources and simulations to enhance the visualization of physical phenomena.
Executed Experimental Data Analysis using the Fisher-Student t-test, ensuring the statistical significance of results in medicinal plant stress studies. Produced analytical literature reviews and project documentation for competitive grant funding, demonstrating proficiency in technical English and scientific synthesis. Managed experimental variables to isolate biological responses under abiotic stress, maintaining high data quality for publication-ready reports.
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