190704_SF1172

Biography

I am a dynamic data scientist with experience in machine learning algorithms, Big Data, and pipeline development. In July 2019, I joined Faculty, where I am working within Europe’s most experienced team of Artificial Intelligence and Machine Learning specialists to support public and private sector organisations in making AI real. Prior to this, I worked together with Rolls-Royce Motor Cars during a data science fellowship in which I developed and deployed a machine learning algorithm to predict the customers that will come in for car services in the upcoming quarter.

Before joining the world of AI, I worked at the University of Oxford as an astrophysicist and radio astronomer. I received my PhD in Astrophysics from the University of Cambridge in 2012, where I was based at Trinity Hall, the Cavendish Laboratory, and the Kavli Institute for Cosmology. I have seven years of postdoctoral expertise in statistical data analysis, Big Data engineering, and data pipeline development, and have held positions as an Associate Lecturer at the University of Sydney, Australia, and as an Excellence Fellow at the Institute for Mathematics, Astrophysics, and Particle Physics (IMAPP) at Radboud University in Nijmegen, the Netherlands.

As part of my academic work, I was developing the first prototype science pipelines for the Square Kilometre Array (SKA), which will be the largest radio telescope constructed to date and the largest Big Data project in the known Universe. This required Petabyte-scale data engineering in order to process the 5 zettabytes (5 million petabytes) of data that will be generated by the facility each year – a data rate equivalent to double the estimated global internet traffic in 2019.

My astrophysics and cosmology research was primarily focussed on understanding the fundamental forces in our Universe, such as gravitation and magnetism. This includes the nature of Dark energy and Dark matter, large-scale structure physics, and extragalactic magnetic fields. My PhD was in the area of observational astrophysics, specialising in the commissioning of low-frequency radio astronomy instruments for exploring the evolution of galaxies. Prior to this, I studied theoretical physics at Royal Holloway, University of London. My research dissertation was on Kaluza-Klein cosmologies, and by adding extra dimensions to Einstein’s field equations, I was able to show that the extra dimensions intrinsically collapse and fuel the expansion of the 3 ordinary dimensions. My relevant scientific publications can be found here.

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Experience

  • Present2019

    Data Scientist

    Faculty, London, UK

  • 20192019

    Data Scientist

    Rolls-Royce Motor Cars, Goodwood, UK

  • 20192017

    Research Associate

    Oxford e-Research Centre (OeRC), Oxford University, UK

  • 20172015

    Excellence Fellow

    Radboud University, Nijmegen, Netherlands

  • 20152015

    Visiting Scientist

    Arcetri Astrophysical Observatory, National Institute for Astrophysics (INAF), Florence, Italy

  • 20152012

    Associate Lecturer

    Sydney Institute for Astronomy & ARC Centre of Excellence for All-Sky Astrophysics (CAASTRO), University of Sydney, Australia

Education

  • Fellowship 2019

    Data Science Fellow

    Faculty, London, UK

  • Ph.D. 2012

    Ph.D. in Astrophysics

    University of Cambridge - Cavendish Laboratory & Kavli Institute for Cosmology

  • BSc 2008

    Bachelor of Science in Theoretical Physics

    Royal Holloway - University of London