Curriculum vitae

Pdf version, for publications and talks see my research page.

Education
	PhD in Computer Science - University of Cambridge	Current Position 2019-2022
	My PhD focuses on building machine learning models for automatic text simplification, with a particular emphasis on the integration of eye tracking data to create humanistic models of text comprehension.
	MPhil Advanced Computer Science - University of Cambridge	Distinction (86%) 2017-2018
	Ranked in the top 5% of my class and won the Google research thesis award. I specialised in Natural Language Processing, Deep Learning and Machine Learning.
	BSc in Computer Science - University of Birmingham	First Class Honours (80%) 2013-2016
	Elective focus: Machine Learning, Natural Language Processing, Nature Inspired Optimisation, Compilers.

Professional Experience
	Research Scientist - Google	2023
	My current role is as a Research Scientist at Google working on Large Language Models (LLMs). My research focuses on advancing the capabilities of LLMs via techniques such as reinforcement learning and self-refinement.
	Visiting Researcher - LaCC Lab	2021
	I was a visiting researcher at the Language, Computation and Cognition (LaCC) lab at the Technion. My work involved integrating eye-tracking into NLP applications.
	Research Intern - Google	2021
	I led my own research project to investigate how implicit interaction signals, such as scrolling, correlate with text readability and comprehension. This included designing and running a 600 participant experiment.
	Research Intern - Google	2020
	I led my own research project to investigate how implicit interaction signals, such as scrolling, correlate with text readability and comprehension. This included designing and running a 600 participant experiment.
	Data Science Lecturer - Cambridge Spark	Present
	Cambridge Spark provides data science training for professionals, I co-teach and tutor for the 'Natural Language Processing with Python' module on the Advanced Data Science course.
	Research Assistant - University of Cambridge	2018
	My research was focused on active learning techniques for machine learning algorithms, applied to the financial domain. I additionally published papers at multiple top tier venues on text simplification.
	Technology Graduate Scheme - Tesco Plc	2017
	During the one year graduate scheme I specialised in data science leadership. I worked on a wide variety of machine learning projects, including a placement in Bangalore as a data science engineer.
	Machine Learning Engineer - Lloyd's Bank	2015
	I spent four months as a machine learning engineer at Lloyd’s Bank. During this time, I designed and implemented a system to predict customer energy usage, using semi-supervised learning, which could generated personalised saving strategies for customers.

Scholarships and Awards
	Cambridge Language Sciences Incubator Fund	2020
	Awarded a language sciences grant for work on how eye movement relates to word complexity with Dr. Ekaterina Kochmar and Dr. Elaine Schmidt.
	Harding Distinguished Postgraduate Scholarship	2019
	The Harding Scholarship is a fully-funded Cambridge Scholarship for the most talented PhD students from the UK and worldwide.
	Google Best Thesis Award	2018
	Award for highest ranked Cambridge Advanced Computer Science MPhil thesis.
	Fitzwillam Graduate Tutors’ Award	2018
	Graduate award from Fitzwillaim College for distinguished performance at MPhil.
	ACL Shared Task Winner	2018
	Developed a winning complex word identification system in an international competition.
	Cambridge Computer Laboratory MPhil Scholarship	2017
	One of eight students to receive a 2017 scholarship for the MPhil course.