Work Experience

• PhD Student, Simula Research Laboratory

  Sep, 2022 - Present

  • Researching causal representation learning as means of improving robustness and generalisation capabilities of Neural Network models

  • Designing and building novel causal disentanglement models as well as implementing and testing existing state-of-the-art models in the field

• AI Researcher, Firi AS

  Jul, 2021 - Aug, 20221 year 1 month

  • Built, trained, and tested a variety of NN architectures, including bespoke Transformers and Attention-based Graph Neural Networks for predictive risk modelling

  • Designed and implemented from scratch a microservice backend architecture to underpin efficient and scalable data extraction, processing, and feature engineering

• Co-Founder, CTO, AIUS

  Sep, 2019 - Apr, 20211 year 7 months

  • Designed and implemented ML-based document and sequence classification models, and pitched these to our non-technical customers

  • Built back-end API and database schemas for our document management software, using Apollo GraphQL and MongoDB

• Data Science Intern, Techspert

  Jun, 2019 - Sep, 20193 months

  • Developed a collection of multilabel classifiers using Tensorflow / Keras, for categorising and filtering incoming company emails

  • Built pre-processing pipeline to clean, anonymise, and build feature vectors from training data

• Undergraduate Researcher, University of Cambridge

  Jun, 2018 - Sep, 20183 months

  • Developed and modified lattice-based RNN models for improved speech recognition confidence scores

  • Designed and built automated system for grade-appropriate feedback to English learners. Later released as part of the app "Sandi"

Skills

Education

Awards

Volunteer Work

Publications