Andrina E. Email and Phone Number

• Support interdisciplinary research projects combining applied psychology, software engineering and data science• Assist in the development and implementation of security applications through data analysis and research• Conduct evidence-based research to enhance security solutions• Apply expertise in human factors and perception psychology to technical innovations

Role: Applied research at the Institute for Humans in Complex Systems, focusing on enhancing the interaction between humans, technology, and organizations in digital workplaces.Key Contributions:Collaboration: Partnered with ZHAW on EU Horizon project #AI4REALNET, examining AI in critical infrastructures.Focus: Concentrated on macrocognition, appropriate trust, explainability, and co-learning, advancing the integration of human-centric principles in technology development.Innovation: Developed strategies improving safety and reliability of sociotechnical systems, aligning them with human needs.Skills & Methodologies:Expertise: Utilized psychological insights to inform AI development, emphasizing trust and user comprehension.Approach: Adopted design thinking to create practical, innovative solutions.Goal: To further human-centric technology integration, enhancing how technology complements human work and life

I passionately inspire students and doctoral candidates in mastering statistical data analyses across various software tools (R, Python, and STATA), supporting their academic and research journey. My approach combines enthusiasm for statistics with a comprehensive mentorship to demystify complex concepts and enhance their analytical skills.Core Skills & Expertise:Software Proficiency: Profound knowledge in R, Python for statistical analysis.Data Science: Equipped with a strong background in data science principles, enabling effective data interpretation and insight generation.Analytical Skills: Exceptional analytical abilities to dissect data and present findings coherently.Statistics & Data Analysis: Expert in statistical techniques and data analysis, with the capacity to apply these skills across Python, R.Communication: Skilled communicator, adept at simplifying complex statistical concepts for a non-technical audience.Achievements:Enhanced Learning Experience: Successfully fostered a love for statistical analysis among students, significantly improving their confidence and competence in handling data.Academic Support: Provided pivotal support through students’ and doctoral candidates' academic endeavors, aiding in the successful completion of their studies and research projects.Language Proficiency: Fluent in English, with a strong ability to convey technical content in an accessible manner.My role as a statistics tutor is not just about teaching; it's about inspiring a deep appreciation for the power of data analysis and empowering students to achieve their academic and research goals with confidence.