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 Associate Fellowship Advance Higher Education. In parallel to my university TA 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 - 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
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]