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 include:
Graduate Teaching Assistant (GTA)
| Date | Course | Institution | Teaching Duties |
|---|---|---|---|
| January - March 2023 | Deep Learning (COMP97111/97112) - Postgraduate course | Imperial College London - Department of Computing | Designed the Graph Neural Networks Tutorial - Coursework Marker - Tutorial Helper Lecturers: Dr. Yingzhen Li, Dr. Bernhard Kainz, Prof. Michael Bronstein |
| October - December 2022 | Introduction to Machine Learning (COMP97101/97151) - Postgraduate course | Imperial College London - Department of Computing | Coursework Marker - Tutorial Helper Lecturers: Dr. Antoine Cully, Dr. Josiah Wang, Dr. Marek Rei |
| January - March 2022 | Deep Learning (COMP97111/97112) - Postgraduate course | Imperial College London - Department of Computing | Designed the Graph Neural Networks Tutorial - Coursework Marker - Tutorial Helper Lecturers: Dr. Yingzhen Li, Dr. Bernhard Kainz, Prof. Michael Bronstein |
| October - December 2021 | Introduction to Machine Learning (COMP97101/97151) - Postgraduate course | Imperial College London - Department of Computing | Coursework Marker - Tutorial Helper Lecturers: Dr. Marek Rei, Dr. Josiah Wang, Dr. Antoine Cully |
| January - March 2021 | Deep Learning (COMP97111/97112) - Postgraduate course | Imperial College London - Department of Computing | Designed the Graph Neural Networks Tutorial and Quiz - Coursework Marker - Tutorial Helper Lecturers: Dr. Bernhard Kainz, Dr. Yingzhen Li, Prof. Michael Bronstein |
| October - December 2020 | Introduction to Machine Learning (COMP97101/97151) - Postgraduate course | Imperial College London - Department of Computing | Coursework Marker - Tutorial Helper Lecturers: Dr. Marek Rei, Dr. Josiah Wang, Dr. Antoine Cully |
Undergraduate Teaching Assistant (UTA)
| Date | Course | Institution | Teaching Duties |
|---|---|---|---|
| 2019 | Mathematics Year 1B (ELEC40011) - Undergraduate course | Imperial College London - Department of Electrical and Electronic Engineering | Study Group Leader - Coursework Marker Lecturers: Dr. Daniel Nucinkis |
| 2018 - 2019 | Mathematics Year 2 (ELEC50011) - Undergraduate course | Imperial College London - Department of Electrical and Electronic Engineering | Study Group Leader - Coursework Marker Lecturers: Dr. Daniel Nucinkis |
Student Mentor
| Date | Course | Institution | Teaching Duties |
|---|---|---|---|
| March - August 2019 | Self-Driving Car Nanodegree | Udacity | Tutorial 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] |