Daniels, Dr Thomas

Thomas DanielsMBBS, BSc, MRCP (UK)

Specialty

Respiratory and general medicine

Sub-specialty

Cystic fibrosis, COPD, bronchoscopy

Training and education

  • Imperial College School of Medicine (formerly Charing Cross and Westminster Medical School), qualified 1998
  • Specialist registrar in respiratory and general internal medicine, Wessex region

Fellowships

Advanced training fellowship (one year) at Queensland Centre for Pulmonary Transplantation and Vascular Disease, Brisbane, Australia

Experience

Dr Daniels has worked as a consultant at UHS since September 2009.

His clinical work includes the assessment and management of adults with cystic fibrosis as inpatients and in outpatient clinics. He also undertakes general respiratory outpatient work, including clinics and bronchoscopy (a procedure to look into the lungs and airways). 

Dr Daniels first worked at UHS in 2003, before undertaking a period of research in the microbiology of cystic fibrosis lung infections for his doctorate at the University of Southampton in 2005. He was lead consultant for the adult cystic fibrosis service from 2012 to 18.

He has also served on various committees at a national level, including the cystic fibrosis national advisory panel to NHS England from 2013 to 14, being the chair of the NHS England ‘inhaled levofloxacin’ policy working group, and being chair of the UKCF Medical Association’s lung transplant working group from 2019 to 20.

He also greatly enjoys teaching at both undergraduate and postgraduate level.

Awards and prizes

Certificate of merit in medicine finals

Research

Dr Daniels has carried out research on the role of uncultured bacterial species in respiratory secretions using molecular techniques to investigate lung damage and symptoms in chronic lung infections.

He maintains an active teaching and research interest, publishing a number of scientific papers in collaboration with co-researchers in Southampton and beyond. Since 2018 he has developed an interest in the potential benefits to health and the NHS from combining advanced mathematical techniques with healthcare data to improve safety and make more accurate predictions about health.