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Pravit Akarasereenont, PhD

               ◼  Position/Affiliation/E-mail
               Position/Affiliation:
               Head of Siriraj Center of Applied Thai Traditional Medicine (Si-CATTM);

               Head of Division of Inflammopharmacology, Pharmacology Department,
               Siriraj Metabolomics and Phenomic Center (SiMPC), Faculty of Medicine
               Siriraj Hospital, Mahidol University, Thailand;
               Director of WHO CC for traditional medicine in Thailand Faculty of Medicine Siriraj Hospital,
               Mahidol University, Thailand.

               E-mail: pravit.auk@mahidol.ac.th

               ◼  Biography

                  Dr. Pravit Akarasereenont completed his MD from the Faculty of Medicine, Siriraj Hospital,
               Mahidol University, in 1991, graduating with Second Class Honours. He earned his PhD in
               Pharmacology in 1995 at the University of London under Nobel laureate Prof. Sir John Vane.
               After returning to Thailand, he established an inflammation research group at Siriraj Hospital

               and contributed significantly to the field through numerous publications.
                  In 2003, Dr. Pravit became Deputy Head of the Siriraj Center of Applied Thai Traditional
               Medicine  (Si-CATTM),  where  he  advanced  herbal  medicine  research  using  a  reverse
               pharmacology  model.  In  2015,  he  helped  establish  the  metabolomics  platform  at  Siriraj

               Hospital, serving as Deputy Head of the Siriraj Metabolomics and Phenomics Center (SiMPC).
                  Since  2017,  Dr.  Pravit  has  led  Si-CATTM  and  was  appointed  Director  of  the  WHO
               Collaborating Center for Traditional Medicine in 2018. He currently leads the Metabolomics
               Group in Thai Traditional Medicine at Siriraj Hospital, pioneering the development of a reverse

               metabolomics model for Thai traditional medicine research. His work focuses on multi-omics
               analysis  and  the  use  of  big  data  in  personalized  and  precision  medicine,  including  the
               development of AI platforms for Thai traditional medicine.

























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