Teaching

Teaching is a core component of working in academia, so by working as a TA during my PhD as well as an undergraduate student, I had the chance to collaborate with brilliant academics, gain teaching experience and develop my own teaching style. Some of my TA roles are mentioned below.

As a result of my teaching activities, I have been awarded the Fellowship Advance Higher Education (FHEA).

In parallel to my university teaching roles, I have been a student mentor for Udacity students as well as for Greek high students who are interested in studying STEM courses in Greece or abroad.


Graduate Teaching Assistant (GTA)

DateCourseInstitutionTeaching Duties
January 2025Introduction to Machine Learning (COMP97101/97151) -
Postgraduate course
Imperial College London - Department of ComputingFinal Exam Marker
Lecturers: Dr. Marek Rei, Dr. Antoine Cully, Dr. Josiah Wang
January - March 2024Deep Learning (COMP97111/97112) -
Postgraduate course
Imperial College London - Department of ComputingDesigned the Graph Neural Networks Tutorial - Coursework Marker - Tutorial Helper
Lecturers: Dr. Yingzhen Li, Dr. Bernhard Kainz, Dr. Harry Coppock
October - January 2024Introduction to Machine Learning (COMP97101/97151) -
Postgraduate course
Imperial College London - Department of ComputingFinal Exam Marker - Coursework Marker - Tutorial Helper
Lecturers: Dr. Antoine Cully, Dr. Josiah Wang, Dr. Marek Rei
January - March 2023Deep Learning (COMP97111/97112) -
Postgraduate course
Imperial College London - Department of ComputingDesigned the Graph Neural Networks Tutorial - Coursework Marker - Tutorial Helper
Lecturers: Dr. Yingzhen Li, Dr. Bernhard Kainz, Prof. Michael Bronstein
October - December 2022Introduction to Machine Learning (COMP97101/97151) -
Postgraduate course
Imperial College London - Department of ComputingCoursework Marker - Tutorial Helper
Lecturers: Dr. Antoine Cully, Dr. Josiah Wang, Dr. Marek Rei
January - March 2022Deep Learning (COMP97111/97112) -
Postgraduate course
Imperial College London - Department of ComputingDesigned the Graph Neural Networks Tutorial - Coursework Marker - Tutorial Helper
Lecturers: Dr. Yingzhen Li, Dr. Bernhard Kainz, Prof. Michael Bronstein
October - December 2021Introduction to Machine Learning (COMP97101/97151) -
Postgraduate course
Imperial College London - Department of ComputingCoursework Marker - Tutorial Helper
Lecturers: Dr. Marek Rei, Dr. Josiah Wang, Dr. Antoine Cully
January - March 2021Deep Learning (COMP97111/97112) -
Postgraduate course
Imperial College London - Department of ComputingDesigned the Graph Neural Networks Tutorial and Quiz - Coursework Marker - Tutorial Helper
Lecturers: Dr. Bernhard Kainz, Dr. Yingzhen Li, Prof. Michael Bronstein
October - December 2020Introduction to Machine Learning (COMP97101/97151) -
Postgraduate course
Imperial College London - Department of ComputingCoursework Marker - Tutorial Helper
Lecturers: Dr. Marek Rei, Dr. Josiah Wang, Dr. Antoine Cully

Undergraduate Teaching Assistant (UTA)

DateCourseInstitutionTeaching Duties
2019Mathematics Year 1B (ELEC40011) -
Undergraduate course
Imperial College London - Department of Electrical and Electronic EngineeringStudy Group Leader - Coursework Marker
Lecturers: Dr. Daniel Nucinkis
2018 - 2019Mathematics Year 2 (ELEC50011) -
Undergraduate course
Imperial College London - Department of Electrical and Electronic EngineeringStudy Group Leader - Coursework Marker
Lecturers: Dr. Daniel Nucinkis

Student Mentor

DateCourseInstitutionTeaching Duties
March - August 2019Self-Driving Car NanodegreeUdacityTutorial Leader - Weekly Webinars based on the Nanodegree’s content:
[Finding Lane Lines Project], [Camera Calibration, Gradients and Colour Spaces], [Advanced Computer Vision], [Machine Learning], [Deep Learning], [Deep Neural Networks], [Transfer Learning], [Sensors], [C++ / Python], [Kalman Filters]