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Dr Anup Das

Job Title
Research Fellow
School of Engineering
024 7657 3542
Research Interests

Systems Medicine
Developing computational models to better understand various aspects of pulmonary and cardiovascular pathophysiology. Specific applications include:

  • Modeling physiology of critically ill patients suffering from Acute Respiratory Distress Syndrome, Chronic Obstructive Pulmonary Disease, etc.
  • Investigation of critical safety and efficacy questions with respect to mechanical ventilation in the Intensive Care for Adults, Pediatrics, and Neonates
  • Patient-specific simulation technologies to be implemented in the Intensive Care Unit
  • Modeling and simulation in the drug development process to inform crucial decisions such as dosing, drug interaction, etc.
  • Design protocols to test investigative and therapeutic maneuvers such as fluid resuscitation, and ventilator strategies, in emergency and critical care scenarios such as blast lung injury.

Anup successfully completed a Ph.D. in Systems Engineering at the University of Exeter in 2012 and joined the department as an associate research fellow. Since 2013, he has been a post-doctoral research associate in the School of Engineering at the University of Warwick.
Anup has worked on collaborative projects with various academic and industrial bodies including the University of Nottingham, University College London, Bayer Pharmaceuticals, Fisher and Paykel, Medtronic, Ministry of Defence, among others.
Anup was born in India and completed his schooling in London. He attended Richmond upon Thames College in London to study A Levels in Maths, Further Maths and Physics. He subsequently achieved a first class with honours MEng degree in Electronic and Software Engineering from the University of Leicester in 2007. He is fluent in multiple languages including English, Hindi, and Malayalam. He is a member of the IEEE and WMAHSN.

Title Funder Award start Award end
COVID-19: Optimising Mechanical Ventilation in COVID-19 via Computational Simulation of Virtual Patients UK Research and Innovation 22 Jun 2020 21 Dec 2021
Personalised Simulation Technologies for Optimising Treatment in the Intensive Care Unit: Realising Industrial and Medical Applications EPSRC 01 Jul 2017 30 Nov 2021