Areas of Focus:

Autoimmune EpidemiologyBiomarker DiscoveryClinical TrialsCollaboration & InnovationCross-institutional CollaborationData-Driven & QuantitativeEarly Disease DetectionExperimental Platforms & ModelsHuman CohortsMachine Learning & AIPatient-reported OutcomesPopulation & Patient-CenteredPrecision MedicineReal-world EvidenceTranslational & ClinicalAxial SpondyloarthritisDermatologic DiseasesPsoriasisPsoriatic ArthritisSystemic Diseases
  • Assistant Professor, Department of Medicine, NYU Grossman School of Medicine / NYU Langone Health
  • Associate Director, Psoriatic Arthritis Center, NYU Grossman School of Medicine / NYU Langone Health
  • Assistant Director, Orthopedic Hospital Arthritis Clinic, NYU Grossman School of Medicine / NYU Langone Health

Dr. Rebecca Haberman is an Assistant Professor in the Department of Medicine at NYU Grossman School of Medicine, Associate Director of the Psoriatic Arthritis Center, and Assistant Director of the NYU Langone Orthopedic Hospital Arthritis Clinic. She earned her MD from NYU Grossman School of Medicine, where she also completed her internal medicine residency, rheumatology fellowship, and a master’s degree in clinical investigation — reflecting a deep and sustained commitment to her institution and its academic mission.

Dr. Haberman’s research focuses on two interconnected priorities: understanding the biological and clinical factors that drive the transition from psoriasis to psoriatic arthritis (PsA), and improving treatment outcomes for patients living with PsA. Her work is notable for its innovative use of functional MRI and wearable technology to capture disease activity and patient experience in new ways. Her research program has attracted funding from the NIH/National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), the National Psoriasis Foundation, and the Rheumatology Research Foundation.

Projects

Featured Pilot Projects

Wearables and AI Framework for Inflammatory Arthritis Assessment and Management
Project | New York University

Wearables and AI Framework for Inflammatory Arthritis Assessment and Management

Using wearable sensors and machine learning to analyze real-world movement and sleep data, this project aims to predict treatment response earlier and enable more personalized care for inflammatory arthritis.