Chloe Pyle
Principal Scientist
Chloe is an immunologist with over 15 years experience studying respiratory immunology in both academic institutions and industry. She has extensive experience with pre-clinical models of respiratory infection and inflammation, clinical respiratory virus challenge models, and the development of novel respiratory therapeutics. Her academic research at the NHLI, Imperial College London, between 2014-2022 focussed on the immune response to respiratory viral infections and regulation of inflammatory pathways in respiratory disease. She is highly skilled in a wide range of laboratory techniques.
As Principal Scientist at Virtus, Chloe is responsible for maintaining a high standard of scientific R&D within the company and works closely with Scientific Director to ensure timely execution of contracts for Virtus’s clients. She oversees and performs laboratory research activities and provides scientific guidance on the development of research plans to ensure optimal efficiency, quality and biological relevance of data outputs.
Chloe Pyle
Principal Scientist
Chloe is an immunologist with over 15 years experience studying respiratory immunology in both academic institutions and industry. She has extensive experience with pre-clinical models of respiratory infection and inflammation, clinical respiratory virus challenge models, and the development of novel respiratory therapeutics. Her academic research at the NHLI, Imperial College London, between 2014-2022 focussed on the immune response to respiratory viral infections and regulation of inflammatory pathways in respiratory disease. She is highly skilled in a wide range of laboratory techniques.
As Principal Scientist at Virtus, Chloe is responsible for maintaining a high standard of scientific R&D within the company and works closely with Scientific Director to ensure timely execution of contracts for Virtus’s clients. She oversees and performs laboratory research activities and provides scientific guidance on the development of research plans to ensure optimal efficiency, quality and biological relevance of data outputs.