As an Assistant Professor with 8 years of experience in the field of Statistics, my teaching approach is focused on creating an engaging and interactive learning environment for my students. I employ a variety of teaching methods to cater to different learning styles and ensure effective knowledge transfer.

In terms of content, I cover a wide range of topics in Statistics, including probability theory, statistical inference, regression analysis, data visualization, and multivariate analysis. I emphasize both collaborating foundations and practical applications, aiming to equip students with the skills and knowledge needed to analyze and interpret data in real-world scenarios.

My teaching dynamics involve a combination of lectures, discussions, problem-solving exercises, and hands-on activities. I believe in promoting active learning, encouraging students to actively participate in class, ask questions, and apply statistical concepts to solve problems. I also incorporate case studies and real-life examples to demonstrate the relevance of Statistics in various fields.

Throughout my teaching career, I have had the opportunity to work with diverse groups of students, including undergraduate and gradecision-makingfrom different academic backgrounds. This experience has enriched my understanding of student needs and enabled me to tailor my teaching approach accordingly. I strive to create a supportive and inclusive learning environment where students feel comfortable to express their ideas and collaborate with their peers.

In addition to teaching, I am actively involved in research and have expertise in statistical modeling and data science. This allows me to bring current research findings and practical applications into the classroom, providing students with valuable insights and fostering their critical thinking skills.

As a Ph.D. fellow in Modeling and Data Science at the University of Turin, Italy, I am continuously expanding my knowledge and staying updated with the latest advancements in the field. This enables me to incorporate cutting-edge techniques and tools into my teaching, preparing students for the ever-evolving landscape of statistical analysis and data-driven decision making.

Overall, my teaching philosophy revolves around creating a stimulating learning environment, fostering critical thinking and analytical skills, and empowering students to become proficient statisticians capable of tackling real-world challenges. I am passionate about teaching and dedicated to nurturing the intellectual growth of my students.