Teaching

During my academic career I have gained a lot of experience in teaching. When I am teaching I am trying to show my students how logical and useful statistical methods are. I believe in extremely organised class material, joyful presentation and a lot of hands-on activities. I am enthusiastic about innovative teaching strategies in class and recently wrote a paper describing how Kaggle-in-class data challenges can boost student learning (joint wort with Prof. Di Cook).

My teaching experience includes:

Lecturing

Data Analysis 1 (MAST10010, undergraduate level, S2, 2019, 320 students. School of Mathematics and Statistics).
Thinking and Reasoning with Data (MAST90044, graduate level, S1 2019, 217 students. School of Mathematics and Statistics).
Critical Thinking With Data (UNIB10006, undergraduate level, S1 2017 (105 students), S1 2019 (120 students). School of Mathematics and Statistics). Breadth subject.
Data & Decision Making (MAST90072, graduate level, S1 2017, 141 students. School of Mathematics and Statistics). A service subject mainly for biotechnology students.
Computational Statistics & Data Science (MAST90083, graduate level, S2 2017, 62 students. School of Mathematics and Statistics).
Data Modelling & Computing (ETC1010, Undergraduate levelS1, S2, 2015-2016. Department of Econometrics & Business Statistics, Monash University).
Biostatistics (POP90013, Postgraduate level, S1 2014, . Melbourne School of Population and Global Health, University of Melbourne).

Teaching Associate

Thinking and Reasoning with Data (Mar 2014 - Jun 2014, MAST90044, Graduate/Postgraduate level. Department of Mathematics and Statistics, University of Melbourne).
Biostatistics (Mar. 2013 - Jun. 2013, POP90013, Postgraduate level. Melbourne School of Population and Global Health, University of Melbourne).
Business and Economic Statistics (ETC1000, Undergraduate level. Department of Econometrics & Business Statistics, Monash University).
Econometrics (96586, 2004-2005, Undergraduate level. Faculty of Industrial Engineering & Management, Technion).
Financial Econometrics (096588, 2005-2006, Undergraduate, Postgraduate level. Faculty of Industrial Engineering & Management, Technion).
Microeconomics 1 (094503, 2005, Undergraduate level. Faculty of Industrial Engineering & Management, Technion).
Location Economics (096567, 2005, Undergraduate, Postgraduate level. Faculty of Industrial Engineering & Management, Technion).

I also deliver workshops on a variety of topics:

Data analysis
Data Management and Exploratory Data Analysis
What statistical techniques should you be using
Visual representation of the data
Introduction to Data Analysis and Visualisation using R
Statistical training for PhD students at Monash University:
- Introduction to Statistics: Data management and exploratory data analysis
- Introduction to Statistics: What statistical methods should you be using?
- Software packages for statistics
- Multivariate analysis
- Statistical classification tools

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