I am a Natural Language Generation Expert and Data Scientist working for trivago in Düsseldorf, Germany 🇩🇪. I can be found on Twitter with the handle @Saad_M.

Previously, I have worked as a Senior NLG Engineer at Arria NLG and also as an academic Research Scientist at the University of Aberdeen.

In my spare time I try and help to maintain the open source SimpleNLG realiser project on GitHub.

Here is an up-to-date copy of my curriculum vitae. I also have a LinkedIn profile as well.

Past Academic Work

My past research work at the University of Aberdeen, Scotland involved the BabyTalk-Family (BT-Family) project. This used Natural Language Generation (NLG) technology to convert large sets of clinical neonatal patient data into automatic daily summaries for parents of babies in neonatal intensive care (NICU). This was done by using artificial intelligence and natural language technology to automatically analyse and summarise the information in a baby’s electronic patient record to produce reports focusing on matters of most interest to the parent. This work was based off a prototype that I developed during my PhD. BabyTalk-Family was successfully deployed and used by parents at the neonatal unit in Royal Infirmary of Edinburgh hospital.



  • Explainable Artificial Intelligence and its potential within Industry — Keynote speech presented at the 1st Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence (NL4XAI2019). 29th of October 2019. Tokyo, Japan — (PDF)
  • Introduction to Natural Language Generation and its role in trivago — Presented at Düsseldorf Data Science Meetup. 15th of October, 2019. Düsseldorf, Germany.
  • Natural Language Generation: Introduction and use at trivago — Presented at trivago Tech Together 2019 conference. 19th of March, 2019. Düsseldorf, Germany.
  • Patents

  • Method and apparatus for document planning — Saad Mahamood (2014), US20160232152A1
  • Media

    University of Aberdeen Scientia Magazine — Page 16, Issue 1, 2012 (PDF)

    BabyTalk-Family Research Study Media (University of Aberdeen Press Release):



    Dr. Saad Mahamood