About Me
Currently, I am an MEng student at the University of Cambridge and I am advised by Matthew Wicker and Adrian Weller. My thesis research is focussed on formal methods for the certification of properties of Bayesian neural networks. Previously, I spent a summer under Professor Anima Anandkumar and Rafal Kocielnik at the Anima AI+Science Lab, at Caltech. Here, I worked on applied ML problems - under the theme of automatic bias discovery in LLMs and text-to-image models.
I am grateful for on-going collaboration with amazing researchers at the Anima AI + Science Lab and the DeepWok Lab.
Outside of computer science, I enjoy playing cricket. I have played for representative teams at the University of Cambridge and even played three matches for Caltech, in the Orange County Cricket Association!
- Trustworthy Machine Learning (Robustness, Uncertainty and Interpretability)
- Theory (Learning, Generalization)
BA, MEng in Information and Computer Engineering, 2020 - 2024
University of Cambridge
Education
- Master’s Classes: Probabilistic Machine Learning, Deep Learning and Structured Data, Probabilisic Machine Learning, Practical Optimisation, Computational Neuroscience, Materials and Molecules: Modelling, Simulation and Machine Learning
- Year 3: Class I (Top 3%)
- Year 2: Class I (Top 10%)
- Year 1: Class I (No rank due to COVID)
- Awards: Harrison Award (Top-of-the-class in Selwyn Engineering - 2021, 2023), Christopher Johnson Award (academic and extra-curricular contributions to life at Selwyn College, 2 awardees out of ~ 500 per year - 2023), Selwyn College Scholarship and Tripos Prize (Class I result - 2021, 2022, 2023)
- 4A*s: Mathematics, Further Mathematics, Chemistry, Physics
- 8 Grade 9s, 2A*s, 1 Grade 8 and an A in Additional Mathematics FSMQ
- 3 gold awards in the UKMT Math Challenge - 2 x best in school, 1 x Qualification for the Math Olympiad (Merit)
- 6 subject awards for top-4 (/180) performance in graduating Year 11 class including English (99.4%), History and Biology
Experience
