Lecturer (PhD) of Data Analysis and Research Methods at City, University of London offers Data analysis support for assignments and dissertations using R, SPSS, Python.

Find out more about Tommaso

• Can you tell us about your first experience with data analysis?

  My first hands-on experience with data analysis was during my bachelor's internship as a research assistant at the University of Amsterdam, where I collaborated with two research groups publishing one paper. I used R to analyse the data and performed advanced statistical modelling. This showed me how data can reveal patterns and insights, and how useful data analysis is to gain insights.

• What developments in the field of data analysis have inspired you the most?

  The integration of advanced statistical analysis and modelling for big data analysis has inspired me and my career. During my research positions, I saw firsthand how advanced techniques such as hierarchical Bayesian models and GLMMs provide deeper insights into complex phenomena.

• Explain your expertise, your interest in data analysis, and its broader impact on different fields.

  I specialize in advanced statistical methods (like GLMMs), hierarchical Bayesian modelling, and neuroimaging data analysis. My interest refers to how data can solve real-world problems, and how data analysis provides new perspectives and insights. I have tutored students from psychology, economy, medical and social sciences and they were all amazed by the powerful new ideas derived from data analysis.

• Are there any role models in data analysis or related fields who inspire you?

  I admire researchers like Richard McElreath and Eric Jan Wagenmakers for how they strive to explain complex statistical topics in a manageable way that everyone can understand.

• Share a memorable anecdote from your teaching or research experience related to data analysis.

  While supervising a Master's thesis, I guided a student through their first data analysis project. Initially overwhelmed, she later developed confidence and competence through our session on data analysis. Seeing her growth reinforced my belief in the transformative power of effective mentorship and guidance.

• What would you say to a student who finds data analysis intimidating or overly technical?

  I'd reassure them that data analysis is a skill anyone can learn with the right mindset and guidance. I emphasize starting with simple tools and hands-on projects, better if something meaningful for the students like an assignment. I like to start by explaining the why and what the point of doing all this is. It is incredibly rewarding when the student starts figuring out how to approach a problem independently.

• What other passions or skills do you bring to your role as a tutor?

  Apart from data analysis, I'm passionate about psychology and neuroscience, and I have been teaching for 5 years as a Visiting Lecturer at the University of London and at different institutions. Also, I have been teaching many topics, from music to martial arts, and I am capable of creating a tailored learning program for each student.

• What makes you a 'Superprof' in data analysis?

  My unique blend of academic expertise, practical experience, and passion for teaching defined my role as Superprof. I've successfully tutored over 50 students, tailoring my methods to individual needs. My strong technical foundation and ability to make complex concepts relatable have earned me excellent reviews on platforms like Superprof.