Jing Wang, MD, PhD

  • Specialty: Pain Management
  • Language: English
  • Phone: 212-201-1004
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About Me

Conditions and Treatments

pain management

Credentials

Positions
  • Associate Professor, Department of Anesthesiology, Perioperative Care, and Pain Medicine
  • Associate Professor, Department of Neuroscience and Physiology
Board Certifications
  • American Board of Anesthesiology (Pain Medicine), 2009
  • American Board of Anesthesiology - Anesthesiology, 2009
Education and Training
  • Fellowship, Johns Hopkins Hospital, Pain Management, 2009
  • Residency, Columbia Presbyterian Medical Center, Anesthesiology, 2008
  • MD from Columbia University, 2004
  • PhD from Columbia College, 2003

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Locations and Appointments

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NYU Langone Center for the Study and Treatment of Pain

240 East 38th Street, 14th Floor
New York, NY 10016

NYU Musculoskeletal Anesthesia and Pain

233 Broadway, 6th Fl
New York, NY 10279

NYU Anesthesia Associates

1630 East 14th Street
Brooklyn, NY 11229

NYU Musculoskeletal Anesthesia and Pain

301 East 17th Street
New York, NY 10003

Research My Research

Interests

molecular, cellular, & translational neuroscience, computational neuroscience, neural engineering

Research Summary

My research interest is centered on the role of brain circuits in the regulation of acute and chronic pain. One of our research areas is the cortical mechanisms of pain processing and regulation. We have recently found that glutamatergic projections from the prefrontal cortex to the nucleus accumbens can modulate acute and persistent postoperative pain in rodent models. We are currently performing pre-clinical and clinical investigations of pharmacological agents that alter glutamate signaling such as ketamine in postoperative pain management. We are also investigating gain control mechanisms for pain regulation in the cortex. A second area of focus in our laboratory lies in the use of computational methods to decode pain in the brain and to implement a brain-machine interface (BMI) to treat pain in real-time. We have successful decoded both the onset and intensity of acute pain in rodents using supervised and unsupervised machine learning algorithms, and we have constructed prototype BMIs to demonstrate its analgesic activities in rodents. We are currently working on identifying neural biomarkers for spontaneous pain and chronic pain. 

Academic Contact

Academic office

435 E 30th Street

Tenth Floor

New York, NY 10016

Phone

646-501-4515

Research Interests Timeline

These focus areas and their associated publications are derived from PubMed and the MeSH term library.
represents one publication
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Publications

Read All Publications (36)