My Work
A multiplayer card game designed to teach particle physics concepts interactively, inspired by UNO Flip. Originally developed as a physical game at UCL, this online version makes complex science accessible and fun. Hosted on www.uknowfeynman.co.uk.
- Python
- Flask, Socket.IO
- JavaScript
- HTML, CSS
An innovative VR experience developed at UCL that immerses users in interactive physics concepts, from navigating wormholes to exploring black holes, enhancing learning through cutting-edge technology.
- Meta VR Headsets
- Unreal Engine 4 (UE4)
- 3D Modeling & Animations
- Physics Simulation
- Physics Concept Visualization
CAMELS Multifield Dataset Analysis
Analysis of the CAMELS Multifield Dataset to predict cosmological parameters using deep learning, optimizing models for accuracy and generalizability, transferring learning across fields.
- Deep Learning & Neural Networks
- PyTorch & TensorFlow
- Data Augmentation & Normalization
- Astrophysical Data Analysis
University
University College London (UCL) - Theoretical Physics MSci
I am currently in my fourth year of a Theoretical Physics MSci program at University College London (UCL). Over the past three years, I have maintained a strong academic record, achieving a First-Class average with an overall mark of 79%. My most recent year’s performance saw an average of 81.3%. Below are some of the key modules that align with my career aspirations in software development, data analysis, and computational physics:
- Machine Learning for Domain Specialists: 88.80%
- Practical Machine Learning for Physicists: 86.58%
- Quantum Mechanics: 89.75%
- Mathematical Methods for Theoretical Physics: 90.87%
- Computational Physics: 74.04%
- Computing for Mathematical Physics: 94.46%
These modules have equipped me with a robust foundation in both theoretical and computational physics, as well as practical experience in machine learning and programming.
About Me
I am a Theoretical Physics MSci student at UCL, with a strong focus on computational physics, machine learning, and quantitative analysis. My academic journey has allowed me to explore complex concepts like quantum mechanics and machine learning, while my hands-on projects have fueled my fascination with computational simulations and artificial intelligence.
In addition to academics, I've actively participated in Kaggle competitions like the AI Mathematical Olympiad and ISIC 2024 - Skin Cancer Detection, where I applied my skills in deep learning and data analysis.
Away from academics, I am an avid cyclist, having competed in the British Nationals for hill climbing. I recently placed 53rd out of 290, narrowly missing a top 50 spot (Hill Climb Schedule). I also hope to cycle from Milan to London, combining my love for travel and endurance challenges.
I am currently seeking full-time opportunities in quantitative analysis and machine learning, whether through graduate schemes or direct entry roles, where I can leverage my skills in computational physics and continue to grow in these cutting-edge fields.
My ResumeTechnical Skills
- Programming Languages & Tools: Python, JavaScript, C#, HTML, CSS, Wolfram Mathematica, Git/GitHub
- Frameworks & Libraries: PyTorch, TensorFlow, Pandas, NumPy, SciPy, Flask, Matplotlib, Seaborn, Plotly
- Data Science & Machine Learning: Deep Learning, Neural Networks, LLMs, Bayesian Techniques, Data Augmentation, Astrophysical Data Analysis, Numerical Methods
- Physics Simulation & Computational Methods: Gravitational Lensing Simulation, Runge Kutta 4th Order, N-Body Choreographies
- Platforms & Tools:: AWS, Ori, Jupyter, Linux Command Line, Unity Engine, Excel
Experience
Receptionist, Brook Street
June 2023 – Present
- Managed customer interactions and organized sales and service teams at Hyundai and Lexus showrooms.
Administration Support, Smallfield GP Surgery NHS
December 2021 – June 2022
- Contributed to eliminating a patient file backlog and provided front-desk support, ensuring doctors had up-to-date information.
Work Experience, Alfa Financial Software
February 2020
- Designed and pitched a software solution to streamline company workflow, which was later implemented by the company.
Volunteer Cycling Coach, Redhill Raiders CC
September 2019 – September 2020
- Led training sessions for young cyclists, enhancing my leadership and mentoring skills.
