Career Profile

I work on developing machine learning methods for safety quantification of CRISPR/Cas9 gene editing in the group of Dr. Minary. We combine ab initio molecular simulation with data science and artificial intelligence algorithms to elucidate dangerous off-target effects in RNA-mediated gene editing. My research is embedded into an interdisciplinary training cohort (DTP), involving constant collaboration and communication with peers across scientific disciplines.

I have a strong background in the physical sciences, having worked in the field of ultracold atomic gases at the Universities of Cambridge, Durham and Heidelberg before.

Please do not hesitate to contact me using the email address in the sidebar.

Projects

These are a few of the projects which I have completed to date, both academic and extracurricular.

Protein Network Analysis - An investigation into the topological dimension of protein-protein interaction networks (PPINs).
Hybrid Trap Loading - A simulation package for atom transport in a combined magnetic and optical dipole trap.
Counterdiabatic Driving Simulations - A comprehensive simulation of atom transport using a single-beam optical dipole trap (optical tweezer), based on the semiclassical truncated Wigner approximation.
Abiforen - An online platform for the graduating years of high schools to assist with their data collection for year books etc.

Skills & Proficiency

Python
(pandas, scipy, pytorch)

PHP

HTML & CSS

Mathematica

C++

Javascript & jQuery