Sobia Raza is a Senior Fellow (interim) at the Health Foundation within the Data Analytics team. Her focus is on developments in data-driven technology and the evolving policy response to these within the context of the COVID-19 pandemic and recovery. She is also an Associate of the PHG Foundation, where she assists with the delivery of the scientific expertise and analysis that underpin our work. She recently led our analysis on artificial intelligence for genomic medicine.
Prior to this, Sobia was the Head of Science at the Foundation, and before that our Senior Policy Analyst specialising in Data Science. In these roles she engaged with the clinical, scientific and research communities to examine issues around the effective use of biomedical and data-driven technologies for health, including; clinical genomics, data sharing, machine learning, citizen generated data, infectious disease genomics, and personalised medicine.
Sobia gained her PhD and MSc in Genomics at the University of Edinburgh, where she continued her academic research as a Post-Doctoral Fellow. Here she applied a combination of wet-lab and computational analysis techniques to investigate the innate immune response. During her time in Edinburgh she was awarded a science policy fellowship at the Scottish Parliament to provide independent insight into a range of science and health related topics including healthcare associated infections.
- Citizen generated data and health: predictive prevention of disease
- Artificial intelligence for genomic medicine
- The personalised medicine technology landscape
- Genomics in mainstream clinical pathways
- Personalised prevention in breast cancer – the policy landscape
- Variant classification and interpretation – workshop report
- Data sharing to support UK clinical genetics and genomics services
- Pathogen Genomics Into Practice
- DNA as data storage
- What is long read sequencing?
- Long read sequencing: Ready for the clinic?
- What is citizen generated data?
- Phenotyping patients for genomic diagnostics
- One health genomics – why animal diseases matter for human health
- Setting the right standards for clinical genome analysis
- Defining the role of a bioinformatician
- Clinical whole genome analysis: delivering the right diagnosis
- Genomics and Artificial Intelligence – a good match?
- Making the most of data for personalised medicine
- Genomics, data, and AI – a perfect birthday gift?
- AI in healthcare – seizing the benefits, avoiding the pitfalls
- Dr. Bot – the new frontier for health consultations?
- Generation Genome – a dream built on data
- Making sense of genomic variants
- Machines that learn healthcare
- It’s time to get on with IT in healthcare
- CLIMB – a timely resource for microbial genomics
- Why the stakes are too high to not share genomic data
- Democratising diagnostics – the future is portable
- Health data security: a question of cost
- 3D printing: shaping future healthcare?
- Tackling infectious diseases – lessons from emergencies
- Responsible, proportionate data sharing for better and safer genetic services
- Big data’s big issues
- Collaborating to deliver pathogen genomics – share the risks and reap the rewards
- What’s in a phenotype? Next-generation genomic diagnosis
- Pathogen Genomics Into Practice: from potential to reality
- A virtuous cycle – using evidence to improve genetic testing
- Under-represented community genomics; East London takes centre stage
- Genomic data: to share is to care
- Infectious disease threats – global issues requiring global solutions
- Setting the right standards for clinical genome analysis
