Experience

1. 

   ByteDance SEED

   Apr 2022 – Present · London

   Leading preference modelling and reward optimisation for LLM post-training, working across research and product deployment teams.

2. 

   Amazon

   Oct 2021 – Feb 2022 · Tübingen

   Research intern with Dominik Janzing, building causal inference methods for time-series systems.

3. 

   Apple AI/ML

   Jul 2020 – Feb 2021 · Cupertino

   Research intern with Josh Susskind, exploring retrieval-augmented generation for on-device assistants.

4. 

   Imperial College London

   Jun 2015 – Jul 2016 · London

   Undergraduate research intern with Prof. Ben Calderhead, developing reinforcement learning approaches for stochastic differential equations.

Education

1. 

   University of Oxford

   Sep 2017 – Sep 2022 · Oxford, UK

   DPhil in Statistics & Machine Learning. Thesis: Causal Reasoning and Meta Learning using Kernel Mean Embeddings.

   Supervised by Prof. Yee Whye Teh and Prof. Dino Sejdinovic.

2. 

   University of Oxford

   Oct 2016 – Aug 2017 · Oxford, UK

   MSc in Applied Statistics with Distinction (Top 10%). Published thesis work on applied statistical modelling.

   Recipient of the Principal’s Prize and the Archibald Jackson Prize for academic achievements.

3. 

   Imperial College London

   Oct 2013 – Aug 2016 · London, UK

   BSc in Mathematics, First Class Honours (Top ~10%). Focus on statistical methods and Markov chain Monte Carlo for scientific computing.

   Recipient of the Best First Year Poster Prize in Statistics (score 100/100).