Dr. Jakub Sawicki
Founder
In Memoriam
Dr. Sawicki was passionate about helping patients with chronic pain and devoted himself to going above and beyond the standard of care. His compassion for people led him to become an Investigative Coroner as well as a Medical Assessor for the CPSO. These clinics were his pride and joy because he was able to give his patients their “normal” lives back.
He passed away in July 2022 after a relentless battle with stomach cancer. Dr Sawicki’s belief that everything will be ok if you look at life with optimism has become infectious and we hope that he left his mark on patients who have crossed his path.
Dr. Nadia Salvo
MSc, MD, CCFP, Clinical Associate, Chronic pain and palliative medicine
Dr. Nadia Salvo received her medical degree from the University of Toronto and completed a residency in Family Medicine with enhanced skills training in oncology and palliative care.
She has gained an interest in chronic pain management through her work in palliative medicine.
Dr. Salvo also enjoys teaching medical learners and is involved in teaching at both the medical student and medical resident level through the University of Toronto.
Dr. Sapna Joshi
BSc, MD, CCFP, Clinical Associate, Chronic Pain Specialist
Dr. Sapna Joshi obtained her MD degree and completed her residency program through the University of Toronto. She believes in treating chronic pain to help improve patient quality of life, while minimizing opioid-related harms.
Dr. Joshi also enjoys teaching medical trainees, and is an adjunct lecturer at the Department of Family and Community Medicine at the University of Toronto.
Dr. Christian K. Sawicki
Medical Director, BHsc, MBBS, FRCPC Anesthesiology, Interventionalist in Chronic Pain Management
Dr. Christian K. Sawicki finished medical school at the Imperial College of London in the United Kingdom, and his Anesthesiology residency at the University of Toronto.
He takes an interest in interventional chronic pain management and has been involved in pain research including multifactorial pain predictive modelling in hospitalized patients.