Hi. I'm Antonio Carlos Campello!

data scientist @ Wellcome Trust
chapter leader @ DataKind UK
researcher in applied mathematics (@ Imperial College)
associate member (AMIMA) @ IMA

I work on data science for social good, open source software, computer vision, information theory (data privacy) and natural language processing.

About me

I currently work for the Wellcome Trust, UK's largest charitable foundation, delivering data science tools to facilitate grant making and impact analysis. I am also chapter leader for Datakind UK, a volunteer-led organisation using data in the service of humanity, chairing their monthly meetings on Scoping & Impact assessment.

Prior to that, I was in charge of an award-winning knowledge transfer partnership program on machine learning and computer vision between the University of Essex and London start-up Filament AI, and was a research associate at Imperial College London.

I hold a PhD in Applied Mathematics, a Chartered Management Institute Certification (Level 5) in Management and Leadership, a Google Cloud Engineer certification (2019), as well as a number of formal specialisations in cloud computing and deep learning. I am a fellow of Science 2 Data Science and an Associate Member (AMIMA) of the Institute of Mathematics & Its Applications.

I occasionally have the bandwidth to provide services for small organisations during out-of-office hours. This generally includes advice on prospective data science projets and exploratory feasibility studies. Get in touch for a coffee β˜• if this sounds like you.

I contribute to a number of open source software repositories, and I strongly believe in funding for basic research, especially Mathematics. Outside work, I am interested in modern art, languages, and minimalistic classic piano (playing & listening). As a researcher, I have held several positions in a number of countries, such as πŸ‡§πŸ‡·, πŸ‡ͺπŸ‡Έ, πŸ‡ΊπŸ‡Έ, πŸ‡¨πŸ‡­, πŸ‡«πŸ‡·, and πŸ‡¬πŸ‡§. You might be familiar with my old website, not updated anymore.

Research Results

Here is a curated list of academic projects that I am particularly proud of. For a full list, click here.

Book chapter

Book chapter on number theoretic foundations of modern wireless communications. Avaliable separately or as part of the ebook on Springer.


Introductory book on lattices (mathematical structures useful in electrical engineering and cryptography). Avaliable via Springer and resellers.

Coral reef preservation

Co-organiser of the annual CLEFCoral competition, to foster research on computer vision algorithms for automatic coral reef identification.

Data Corner

Here is a list of projects/updates and write-ups. For more info, check out my medium page or github profile.


    Linking academic publications

    A recent project I developed on linking academic publications to grants using natural language processing.


    Data 4 good festival

    The data 4 Good festival will take place in May 2021! Check out the program (tba) on the official website.


    ImageCLEF 2021

    The third edition of the ImageCLEFcoral competition on automatic identification of corals is live!


    Data maturity

    We published a report on the data maturity of organisations that engage with DataKind UK. Full report here.


    Data science at the Wellcome Trust

    What me and my colleagues have achieved in 2020 in terms of data science at Wellcome


    Tech jobs visa sponsorship

    A sought-after tutorial on how to navigate UK's visa system for tech (esp. data science) workers, including a searchable list of sponsors.



    We have open source our ML natural language processing utils used to analyse academic texts, WellcomeML



    Open source software to (pseudo)-anonymise free text, one of my favourite projects at the moment.


    Data Science Festival

    I spoke at the Data Science Festival 2021. Here is a link for the talk.

Get in touch for a coffee β˜•