School of Medicine
Showing 1-10 of 25 Results
E. John Harris Jr.
Professor of Surgery (Vascular), Emeritus
Current Research and Scholarly InterestsI am interested in thrombosis and the role of thrombin and its receptor in venous wall remodeling following venous thrombosis. I am also interested in vascular hemodynamics and the use of ultrasound, MRI and computational modeling in evaluating arterial flow in exercise conditions.
Gary E Hartman, MD, MBA
Clinical Professor, Surgery - Pediatric Surgery
Current Research and Scholarly InterestsMinimal Access and Robotic Surgery
Michelle Hauser, MD, MS, MPA, FACP, FACLM
Clinical Associate Professor, Surgery - General Surgery
Clinical Associate Professor (By courtesy), Medicine - Primary Care and Population Health
Current Research and Scholarly InterestsPrimary care physician, prevention researcher, medical educator and classically-trained chef who combines these fields to move people away from diets that lead to chronic disease and toward eating delicious food that promotes health and well-being.
Mary Hawn, MD, FACS
Emile Holman Professor of Surgery
Current Research and Scholarly InterestsMy area of research is health services researcher focusing on surgical quality measurement and policy. I have a background and training in epidemiology coupled with my leadership roles in surgical quality measurement. My expertise and extensive experience in evaluation of surgical quality process and outcome linkage has impacted national policy and changed guidelines. We performed a comprehensive evaluation of the Surgical Care Improvement Project (SCIP) implementation using national VA data. Defining robust metrics of surgical quality that are actionable and can lead to sustained improvement in our field are of utmost importance. I also have experience with risk prediction modeling for surgical patients. Our Decision Support for Safer Surgery study developed models of real-time risk prediction for major complications and prospectively validated our models in patients and with expert surgeons. We were able to discern where computational risk prediction has added value and where it falls short. We currently have a national study investigating readmissions following major surgical procedures to identify opportunities for improving care and reducing costs.
Hui "Heather" He, PA-C, MSHS-PA
Affiliate, Surgery - General Surgery
BioHui "Heather" He, PA-C, MSHS-PA is an advanced practice provider who specializes in breast surgery and plastic reconstructive surgery. She completed the Masters in Health Sciences for Physician Assistants Program at the Weill Cornell Graduate School of Medical Sciences. Heather has a special interest in benign and malignant conditions of the breast, reconstruction after ablative treatment, and cancer-related lymphedema management. She finds joy in performing 3D nipple areolar tattoos to empower breast cancer patients to feel whole again.
Professor of Surgery (Plastic & Reconstructive Surgery)
Current Research and Scholarly InterestsDr. Helms' research interests center around regenerative medicine and craniofacial development.
Professor of Surgery, Emeritus
Current Research and Scholarly Interests1. Nerve regeneration and repair, evaluation of repair methods, modalities to enhance peripheral nerve regeneration, development of improved methods to analyze nerve regeneration.
2. Implementation of functional neuromuscular stimulation to paralytic deformities.
3. Computer modeling of upper limb function.
Clinical Instructor, Surgery - Plastic & Reconstructive Surgery
BioDr. Franco Hernandez was born and raised in Southern California. He graduated from the University of California, Riverside where he obtained a Bachelor’s in Economics, graduating with honors. He went on to complete his Doctorate of Dental Surgery at the University of Southern California where he spent dedicated time as a selective student with emphasized training in the areas of Oral & Maxillofacial Surgery, Dental Anesthesia, and Public Health. Following graduation, he began his post-graduate training as an Oral & Maxillofacial Surgery non-categorical resident at Parkland Memorial Hospital / UT Southwestern Medical Center in Dallas, one of the largest level 1 trauma centers in the state of Texas. He continued his training at Stanford University Medical Center where he completed a Dental Medicine, Oral & Maxillofacial clinical instructorship.
Dr. Hernandez diagnoses, treats, and manages a variety of conditions including: odontogenic infection, dentoalveolar trauma, edentulism (partial and complete), non-malignant oral lesions, benign cysts/tumor of the maxilla/mandible, osteonecrosis of the maxilla/mandible, TMJ disorders, and orofacial pain. He routinely performs surgical dental extractions, oral reconstruction with endosseous dental implants, removal of 3rd molars (“wisdom teeth”), bone grafting, excision of benign maxillary/mandibular cysts, as well as management of TMJ disorders and Orofacial pain. As a Dental Oncologist, he specializes in dental procedures and surgeries prior to, during, and following head & neck radiation therapy and chemotherapy. As a Hospital Dentist, he performs medically necessary dental procedures and surgeries in the context of extensive cardiac disease, major organ failure/transplant cases, major systemic disease, cancer therapy, and orthopedic surgery.
Professor of Medicine (Biomedical Informatics), of Biomedical Data Science, of Surgery and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsMy background and expertise is in the field of computational biology, with concentration in health services research. A key focus of my research is to apply novel methods and tools to large clinical datasets for hypothesis generation, comparative effectiveness research, and the evaluation of quality healthcare delivery. My research involves managing and manipulating big data, which range from administrative claims data to electronic health records, and applying novel biostatistical techniques to innovatively assess clinical and policy related research questions at the population level. This research enables us to create formal, statistically rigid, evaluations of healthcare data using unique combinations of large datasets.