Dr. Aygul Zagidullina
About Dr. Aygul Zagidullina
Dr. Aygul Zagidullina is a Co-Head of CAS Machine Learning at HSLU – Artificial Intelligence and Machine Learning, where she also serves as a Research Scientist and Senior Lecturer. She has a strong background in data science, machine learning, and econometrics, with extensive experience in high-dimensional data analysis and modeling.
Current Position at HSLU – Artificial Intelligence and Machine Learning
Dr. Aygul Zagidullina serves as Co-Head CAS Machine Learning at HSLU – Artificial Intelligence and Machine Learning since 2024. In addition to this role, she has been working as a Research Scientist at the same institution since 2023. Her responsibilities include overseeing machine learning programs and conducting research in the field of artificial intelligence. Dr. Zagidullina also holds the position of Senior Lecturer at HSLU, further contributing to the academic environment through teaching and mentoring students.
Educational Background and Qualifications
Dr. Zagidullina has a robust academic background, having earned a Master of Science in Economics from the University of Konstanz from 2012 to 2014. She further pursued her Doctor of Philosophy in Econometrics and Statistics at the same university from 2014 to 2019. Additionally, she completed a Certificate of Advanced Studies in Machine Intelligence at ETH Zürich from 2020 to 2021. Her education also includes participation in the Google Developer Experts Program, focusing on Computer Science and Leadership, and a Coding Bootcamp at Le Wagon in 2022.
Professional Experience in Data Science and Analytics
Dr. Zagidullina has accumulated extensive experience in data science and analytics. She worked as a Data Science & Analytics Freelancer at both HSLU and the University of Warwick in 2023. Prior to these roles, she was a Research Scientist and Teaching Assistant at the University of Konstanz from 2014 to 2019. Her industry experience includes positions at Credit Suisse, where she served as a Quantitative Model Validator and Data Scientist from 2019 to 2022.
Expertise in High-Dimensional Data Analysis
Dr. Zagidullina possesses expertise in analyzing and modeling High-Dimensional Data, utilizing tools such as Big Data Training and PySpark. Her research interests include High-Dimensional Covariance Matrix Estimation, which has applications in portfolio management, signal processing, image recovery, and social network analysis. This specialized knowledge positions her as a valuable contributor to advancements in data science and machine learning.