Konrad Abramowicz, Associate professor in Mathematical Statistics
Research field: Mathematical Statistics
Teaching in the Master's program: Have been actively involved in the master's programmes for several years, contributing as a mentor in the introductory course and teaching Advanced Statistical Modelling.
Could you please introduce yourself and describe your background in the field of mathematics or mathematical statistics?
- My name is Konrad, and I serve as an Associate Professor in Mathematical Statistics. My academic journey began in Poland, where I pursued undergraduate studies in theoretical and financial mathematics. During my doctoral studies, I shifted my focus towards mathematical statistics, which now forms the core of my teaching and research activities. My work primarily revolves around statistical inference and the modelling of complex objects. Beyond my teaching responsibilities, I also fulfil the role of International Contact Person in our department. This position allows me to assist students in exploring exchange opportunities with our partner universities worldwide, enriching their academic experience.
What do you enjoy most about teaching in these programmes?
- What I find most rewarding about teaching in these programmes is the opportunity to engage with students who are genuinely passionate about mathematics and mathematical statistics. Their motivation and enthusiasm for the subject matter greatly enhance the learning environment and make my role as an educator both enjoyable and fulfilling.
What do you believe distinguishes Umeå University's master's programme in mathematics/mathematical statistics from others?
- Umeå University's master's programme stands out due to its personalized approach to education. Our students experience the university not just from an academic standpoint but also gain valuable insights into departmental operations. This unique perspective fosters a deeper understanding of the field and, for some, ignites a keen interest in pursuing research careers.
Could you provide examples of recent student research projects or collaborations you've been involved in?
- Recently, I had the chance to mentor a student in the introductory course, where we delved into various inference methods for functional data objects. This project exemplifies the hands-on research opportunities we offer, allowing students to explore cutting-edge statistical methodologies and apply them to real-world data.
How do you think the programmes prepare students for careers in mathematics or mathematical statistics?
- Our programme is designed to offer a comprehensive selection of courses, equipping students with the theoretical knowledge and practical skills necessary for both academic research and industry careers. This holistic approach ensures that graduates are well-prepared to navigate the challenges of their future, whether within academia or in a more applied setting.