Resume

For more details, you can download the pdf version of my resume here (updated May 2025).

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 -

Senior Research Scientist (Nov 2024 -)
Research Scientist (Jan 2023 - Oct 2024)

Research on LLMs for scientific discovery and neural compression

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 🌟

• Google DeepMind Scholarship 2018
  PhD funding, 150,000 USD
• Schlumberger Out of the Ordinary Award 2018
  Award for extraordinary technical achievements
• Digital Forum Innovation Award 2017
  Schlumberger award for most innovative project among 300+ submissions
• Schlumberger AI Leader 2016
  Elected as leader of the 1000+ AI community within Schlumberger
• Governor's Prize 2014
  Ranked 1st of 206 students in Physics at Imperial College London

Teaching 👨‍🏫

• Teaching Assistant, SB2.1, Statistical Inference Oxford, 2020
  
• Teaching Assistant, SB2.2, Statistical Machine Learning Oxford, 2019
  
• Teaching Assistant, CME 102, Ordinary Differential Equations Stanford, 2016
  

Skills 💻

• Programming
  • Experienced: Python, C++, Matlab
  • Familiar: Javascript, Scala (Spark)
• Frameworks
  • Deep Learning: Pytorch, Jax, Haiku, Keras
  • Visualization: d3, plotly
• Languages
  • Fluent: Danish, English, French
  • Intermediate: German

Projects 🌱

• Visualizations
  Created d3 based interactive visualizations of mathematical concepts, data and generative art, which can be found on my Observable profile
• Open source
  Open sourced code for several deep learning papers with ★1000+ on my Github profile

Academic Services 📚

• Co-organizer
  ICLR 2023 Workshop - Neural Fields across Fields: Methods and Applications of Implicit Neural Representations
• Reviewer
  ICLR 2025 Weight Space Learning Workshop, ICLR 2023, AISTATS 2022, ICLR 2022, ICLR 2021 (Outstanding reviewer), NeurIPS 2020 (Outstanding reviewer), ICML 2020 (Top reviewer), NeurIPS 2019 (Top reviewer)

Invited Talks 🏛️

• Compression by overfitting 2024
  NeurIPS 2024 Neural Compression Workshop Keynote
• FunSearch: Mathematical discoveries through program search with LLMs 2024
  CVPR 2024 Multimodal Algorithmic Reasoning Workshop Keynote
• FunSearch: Mathematical discoveries through program search with LLMs 2024
  Schmidt Futures
• FunSearch: Mathematical discoveries through program search with LLMs 2024
  UC Berkeley
• Compression with neural fields 2023
  VQEG
• The Curse of Discretization and Learning Distributions of Functions 2021
  ML Collective
• Representational Limitations of Invertible Models 2020
  ICML 2020, INNF+ Workshop
• Combining Physics and Machine Learning with Neural ODEs 2019
  Abingdon, UK
• Deep Learning for Prognostics and Health Management Tutorial 2017
  Prognostics and Health Management Conference, Tampa Bay, FL
• Deep Learning Applications Panel 2017
  Prognostics and Health Management Conference, Tampa Bay, FL