Regina is an Exceptional Maths Graduate looking for a Secondary Teaching Assistant / Academic Mentor
Regina is an academically outstanding STEM graduate with an MSc in Mathematics and Theoretical Physics from the University of Sheffield, achieved with Distinction, alongside a degree in Computer Science and Mathematics from the University of York.
With experience teaching coding to secondary and sixth form students, communicating complex ideas to young people, and undertaking research at Google DeepMind, she offers an exceptional combination of subject knowledge, analytical ability and approachable communication. Regina is now keen to bring that expertise into a secondary school as a Teaching Assistant or Academic Mentor, particularly supporting Maths, Computer Science and Physics, while gaining meaningful classroom experience as she explores a longer-term career in teaching.
Education & Qualifications
- MSc Mathematics and Theoretical Physics (Distinction): University of Sheffield
- BSc (Hons) Computer Science and Mathematics (2:1): University of York
- A Levels: Computer Science (A), Biology (A), Chemistry (A), Mathematics (B)
- GCSEs: 12 including Mathematics (Grade 7) and English Language (Grade 8)
Experience Summary
Regina brings a particularly strong profile for secondary education, combining advanced STEM knowledge with direct experience engaging young people and making technical subjects accessible. Her Coding Tutor work has given her experience with secondary and sixth form learners, while her research and engineering background has developed the patience, problem-solving and communication skills that would translate strongly into academic mentoring and classroom support.
- Delivered engaging Python and HTML tuition, including an online Python session for more than 60 participants and HTML sessions for secondary and sixth form students, demonstrating confidence explaining technical concepts to groups.
- Engaged younger pupils with STEM, delivering talks focused particularly on Maths and Computer Science and helping make these subjects accessible and interesting to young learners.
- Brings exceptional STEM subject knowledge, with an academic background spanning Mathematics, Computer Science and Physics, making her particularly well suited to supporting pupils who need additional academic challenge or targeted intervention.
- Developed high-level analytical and problem-solving skills at Google DeepMind, applying mathematical modelling, analysing complex data and communicating sophisticated findings clearly to specialist and non-specialist audiences.
- Demonstrated patience and an approachable support style as a Systems Engineer Intern, helping colleagues work through technical and logical problems and producing clear step-by-step guidance for non-technical users.
- Able to break down challenging concepts into manageable steps, drawing on experience across tutoring, research and technical support – a valuable skill when helping secondary pupils overcome misconceptions and build confidence.
- Motivated by progression into education, with a genuine interest in developing classroom experience, learning from experienced teachers and exploring teaching as a longer-term career.
Key Strengths
- Outstanding STEM knowledge across Mathematics, Computer Science and Physics
- Direct experience engaging secondary and sixth form students
- Clear, accessible communicator who can simplify challenging technical concepts
- Strong academic mentoring potential, particularly for Maths and STEM-focused intervention
- Calm, patient and approachable when supporting others through problems
- Highly analytical and intellectually curious, backed by postgraduate study and Google DeepMind research experience
- Confident working with both groups and individuals
- Genuine enthusiasm for helping young people develop confidence in STEM
- Strong potential for progression into secondary teaching