For more details, you can download the pdf version of my resume pdf here (updated April 2023).

Education 🎓

University of Oxford 2018 - 2022

PhD Machine Learning

Supervised by Yee Whye Teh and Arnaud Doucet

Stanford University 2014 - 2016

MS Computational Mathematics

GPA: 4.02

Imperial College London 2010 - 2014

BSc Theoretical Physics

Rank: 1/206 students, Grade: 87.2%

Experience 👨‍💼

Google DeepMind Jan 2023 -

Research Scientist

Research on neural fields and machine learning for science

Google DeepMind Mar 2021 - July 2021

Research Scientist Intern

Research with Danilo Rezende on generative models of neural networks

Apple Nov 2019 - June 2020

Part Time Research Intern

Part time research on neural rendering during PhD with collaborators at Apple

Apple June 2019 - Aug 2019

Research Intern

Research on Neural Rendering with Qi Shan

Schlumberger STIC June 2016 - July 2018

Machine Learning Scientist

Created, implemented and deployed machine learning algorithms to solve problems in time series, vision and geology, improving state of the art for several tasks • Research on deep generative models with a focus on learning interpretable representations

Gurobi Optimization June 2015 - Aug 2015

Software Engineering Intern

Researched, formulated and solved integer optimization models for a wide area of industry applications including energy, telecom and medicine

DTU Compute June 2013 - Sep 2013

Research Intern

Research on sparse dynamics for PDEs with Allan Engsig-Karup

Awards 🌟

Teaching 👨‍🏫

Skills 💻

Projects 🌱

Academic Services 📚

Invited Talks 🏛️