I am currently in my final year of pursuing a Ph.D in Engineering at the University of Oxford. Before embarking on my doctoral journey, I earned an MEng in Engineering Science from Oxford, graduating with First-Class Honors. Notably, I achieved the highest final project mark in the past decade and was honoured with a prize by the Institution of Mechanical Engineers (IMechE).
In the context of renewable energy systems, my Ph.D research focuses on developing novel numerical methods to bridge the gap between complex aerodynamic and chemical reaction modelling using modern machine learning techniques. As a result, I am continually developing new, faster approaches to learning and understanding real-world mathematics, physics and engineering. These efficient and effective ways of thinking will inevitably be passed on to the students.
I have been tutoring for nearly 10 years, teaching students ranging from secondary school up to post-graduates. I have also helped many students prepare for university entrance exams and interviews. In my most recent role, I've assumed the role of a supervisor, providing guidance to both 3rd/4th-year Master's students and 1st-year Ph.D. candidates, facilitating their progress and success in their respective projects.
Over the past three years, I have had the privilege of presenting my research at nearly ten conferences, seminars, and symposiums held around the world. This valuable experience has significantly enhanced my communication skills.
One of the invaluable assets I offer to my students is the ability to bridge the gap between theoretical mathematics and science, and their practical applications in the modern world. I excel at illustrating complex concepts with real-world examples, making the learning experience both informative and engaging.
I pride myself on my versatile and adaptable tutorial approach, tailored to suit the unique learning style of each student. I am adept at quickly identifying and accommodating the individual needs of my students, ensuring that they receive a customized and effective learning experience.
Fundamentally, my greatest passion lies in unravelling intricate scientific problems and presenting them in a manner accessible to every student. I firmly believe that the essence of great teaching lies in this ability to simplify complexity. My profound understanding of science, cultivated during my Ph.D. journey, empowers me to distil even the most convoluted scientific challenges into comprehensible concepts that students can retain and apply for years to come.
Languages | English (British) |
---|---|
Availability | Weekends, Weekdays (evenings) |
References Available | On File |
University of Oxford | 2023 | Doctorate | Engineering Science (4th Year PhD student) | |
---|---|---|---|---|
University of Oxford | 2020 | Masters | Masters in Engineering Science (1st Class Honours) | |
University of Oxford | 2019 | Bachelors | Engineering Science (1st Class Honours | |
Waldegrave School | 2014 | College | A Levels (A*'s: Maths, Further Maths, Physics, A: Music Technology |
Entrance Exams | |
---|---|
Primary | £50 |
Secondary | £50 |
GCSE | £50 |
Casual Learner | £50 |