Between April-August 2025, I designed the L6 Data Scientist Apprenticeship Course and co-led its validaton process. This involved doing market research and collaborating with both academic and industry partners.
Between May-December 2024, I successfully led the re-validation of the MSc course in Data Science and AI (transitioning to 30-credit modules delivered in 6-week blocks.
In September 2022, I obtained a Postgraduate Certificate in Academic Practice by completing a 60-credit L7 course. This has also led to the award of Advance Higher Education Fellowship (FHEA).
Since September 2022, I have been acting as Programme Leader for the MSc conversion degree in Data Science and Artificial Intelligence.
Between May-Aug 2022, I undertook the The Data Science and AI Educators’ Programme organised by the Alan Turing Institute. The course consisted of a series of 12 training sessions that covers different aspects of teaching AI and Data Science. I also acted as a mentor in the programme in the following year.
Since January 2021, I having been teaching in undergraduate and postgraduate Computing courses offered by the Univresity of Suffolk. Modules I have led include “L7 Introduction to Artificial Intelligence”, “L7 Data Mining and Statistical AI”, “L7 SQL and NoSQL Databases”, “L7 Masters Projects”, “L5 Data Mining and Statistics”, “L5 NoSQL” and “L4 Introduction to Data Science and AI”.
In May 2020, I organised an online tutorial on the Deep Text Modelling package - a Python package that I co-developped for modelling textual data using neural networks. The demonstration gathered language researchers and computer scientists from the Universities of Harvard, George Mason and Birmingham. [Materials]
During the period between August and October 2019, I privately tutored a PhD student in Aerospace engineering on the prerequisites for machine learning (5 sessions). These included an introduction to the main concepts in data analysis, linear algebra, probability, data visualisation and coding in Python. [Materials]
In June 2018, I taught a class that introduced support vector machines to social scientists at the University of Sheffield. The class was part of the Social Analytics & Visualisation course series organised by the Data Analytics and Society Centre for doctoral training. [Materials]
In March 2018, I run a two-session tutorial on linear regression in R within our research group. [Materials]
In November 2017, I run a tutorial on statistics for linguists using R, which was part of the introduction to empirical linguistics workshop. The workshop was co-organised by the Confucius Institute and the Out Of Our Minds lab at the University of Sheffield. [Materials]
From 2016-2017, I held a Senior Teaching Associate position at the Mathematics School of the University of Bristol where I taught tutorials in Linear Algebra & Geometry, Probability and Statistics to 1st-year undergraduates. I also led problem classes in Statistics and Optimisation for 2nd-year undergraduates. The position also required coducting regular R lab demonstrations as well as marking weekly homework and end-of-term exams.
From 2013-2014 (one and a half academic year), while doing my PhD, I held a Teaching Assistant position at the Mathematics School of the University of Bristol. The position consisted of teaching tutorials and giving feedback to 1st-year undergraduates in Linear Algebra & Geometry, Probability and Statistics.