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Claudio Zandonella Callegher

Post-Doc Researcher

Eurac Research Institute for Renewable Energy

Biography

During my PhD, I fell in love with data science. Understanding the complex phenomena that affect our lives by exploring data, formulating hypotheses, building models, and validating them. I find the whole process extremely challenging and motivating. In addition, I am excited about the integration of new technologies into our daily lives and how a data-driven approach can help us make better decisions in any field. I want to be part of that change that is shaping our future society.

Curriculum Vitae

Interests

  • Machine Learning
  • Bayesian Inference
  • Expert Elicitation
  • R Programming
  • Open Science

Education

  • PhD in Psychological Sciences, 2021

    University of Padua

  • MSc in Psychology, 2018

    University of Padua

  • BSc in Psychology, 2016

    University of Padua

Projects &
interests

The Open Science Manual

The present book aims to describe programming good practices and introduce common tools used in software development to guarantee the …

trackdown

The trackdown R-package offers a simple solution for collaborative writing and editing of R Markdown (or Sweave) documents.

Introduction2R

In this book (Italian) we will learn the basics of R, one of the best software for visualization and statistical analysis of data.

Talks &
Posters

.js-id-Talk

trackdown: collaborative writing and editing your R Markdown and Sweave documents in Google Drive

The advantages of using literate programming that combines plain-text and code chunks (e.g., R Markdown and Sweave) are well …

Enhancing Statistical Inference via Prospective and Retrospective Design Analysis

Traditional power analysis has a narrow focus on statistical significance, overlooking other related inferential risks concerning …

Quantify plausible effect size

Quantify plausible effect size is an important point when designing an experiment. When previuos result in the litterature are limited …

The role of mother and father attachment in children’s socioemotional-adjustment: A Bayesian model comparison approach

Evaluating the different role of mother-child and father-child attachmnet on children developmental outcomes.

I'm a member of Psicostat . We are an interdisciplinary research group interested in Psychology and Statistics working at the University of Padua.

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