Bio

I am a recent graduate of Imperial College London, where I earned an MEng degree in Materials Science and Engineering. After exploring the broad range of topics - from electrochemistry to biodegradable polymers - I have decided to focus on scientific computing. At MIT, I had the opportunity to take classes on machine learning and deep learning, which made me excited at the intersection of these two fields. Therefore, my current research interests lie in computational modelling accelerated by recent advancements in parallel computing and machine learning. This then includes protein folding, protein design, molecular dynamics, and data-driven drug discovery.

Research Projects

Coarse-Graining of Molecular Dynamics With Neural ODEs [Current]
IEEE Paper Contest (kept confidential) - Master's Thesis PDF (Section 6) -
- GitHub Repo
Supervisor: Stefano Angioletti-Uberti - SoftNanoLab @ Imperial College London

Neural Hamiltonian Monte Carlo Sampling [2021]
Master's Thesis PDF (Section 4) - GitHub Repo
Supervisor: Rafael Gómez-Bombarelli - Learning Matter Lab @ MIT

Alchemical Kernels for Structure-Property Predictions [2021]
Internship Report - GitHub Repo
Supervisors: Guillaume Fraux & Michele Ceriotti - COSMO Lab @ EPFL

DNA Origami Self-Assembly Simulations [2020]
Conference Poster - Investigation Report - Model Tutorial
Supervisor: Stefano Angioletti-Uberti - SoftNanoLab @ Imperial College London

Other

Art Generator for Hybrid Bridge Exhibition + DALL-E 2 w/ Prozeta [2022]
GitHub Repo

Head of Operations of CE Conference [2022]
Website

Music Production
Jake Palma: Spotify - Youtube
kubbha: Spotify - Youtube