Dr Ahmad Abu-Khazneh
Head of Curriculum Design
Ahmad is a seasoned educator and machine learning engineer with a diverse background spanning academia, industry, and public sector projects. He holds an MSc in Advanced Computer Science from the University of Manchester and a PhD in Mathematics from the London School of Economics, where his research utilised large-scale scientific computing to study problems in graph theory.
In 2017, Ahmad joined Imperial College London as a Senior Fellow in Data Science, where he created multiple new data science modules across levels—from undergraduate to MSc—and supervised research students on diverse projects ranging from AI-driven music generation to applications of AI in neuroscience, oncology, ecological research and medical imaging analysis.
Later, at the University of Cambridge as a Senior Machine Learning Engineer in the Accelerate Programme for Scientific Discovery, he led the software engineering efforts of the programme, playing a pivotal role in expanding the team and developed the programme's machine learning strategy. He established initiatives like Cambridge's AI Clinic and software engineering workshops to help researchers troubleshoot their technical AI challenges. These initiatives have received great feedback from participants, engaging over 150 PhDs, postdocs, and faculty members within just one year.
Beyond academia, Ahmad has worked on major machine learning projects across various industries. His roles included Solution Architect for the UK Ministry of Justice, Senior Data Engineer for the UK Department of Health and Royal Mail.
Earlier in his career, in 2010, he worked for three years as a Product Manager at the Financial Times, where he developed novel sophisticated language models to analyze the semantic context of financial reports.
He has also lectured on mathematics, AI and data science at institutions including Imperial College London, Cambridge University, LSE, University of Bristol, University of London, the University of Notre Dame (US) and New York University, while delivering technical workshops for organisations like the House of Commons Library and various research-based startups in bioinformatics and healthcare.
Ahmad’s contributions to education have been recognised with multiple teaching awards for his outstanding impact on teaching and academic supervision, including four student-led awards from the London School of Economics.
In 2017, Ahmad joined Imperial College London as a Senior Fellow in Data Science, where he created multiple new data science modules across levels—from undergraduate to MSc—and supervised research students on diverse projects ranging from AI-driven music generation to applications of AI in neuroscience, oncology, ecological research and medical imaging analysis.
Later, at the University of Cambridge as a Senior Machine Learning Engineer in the Accelerate Programme for Scientific Discovery, he led the software engineering efforts of the programme, playing a pivotal role in expanding the team and developed the programme's machine learning strategy. He established initiatives like Cambridge's AI Clinic and software engineering workshops to help researchers troubleshoot their technical AI challenges. These initiatives have received great feedback from participants, engaging over 150 PhDs, postdocs, and faculty members within just one year.
Beyond academia, Ahmad has worked on major machine learning projects across various industries. His roles included Solution Architect for the UK Ministry of Justice, Senior Data Engineer for the UK Department of Health and Royal Mail.
Earlier in his career, in 2010, he worked for three years as a Product Manager at the Financial Times, where he developed novel sophisticated language models to analyze the semantic context of financial reports.
He has also lectured on mathematics, AI and data science at institutions including Imperial College London, Cambridge University, LSE, University of Bristol, University of London, the University of Notre Dame (US) and New York University, while delivering technical workshops for organisations like the House of Commons Library and various research-based startups in bioinformatics and healthcare.
Ahmad’s contributions to education have been recognised with multiple teaching awards for his outstanding impact on teaching and academic supervision, including four student-led awards from the London School of Economics.