Welcome UCSF Pepper Center 2021-2022 REC, PESC, and Genius Scholars!

UCSF Pepper Center is proud to introduce our new 2021-2022 REC, PESC, and Genius Scholars! Let's give them a warm welcome! 

New REC Scholars
REC Scholars
Alex Lee, PhD, MSPH

Assistant Professor, Medicine
Project: Glycemic Metrics to Identify Risk of Hypoglycemia and Hyperglycemia in Nursing Home Residents with Diabetes 

Kenny Lam, MD
Assistant Professor, Medicine
Project: Aging in place: a study of regional variation in risk-adjusted mean home time after hospitalization in older adults 

Matt Miller, PT, PhD
Postdoctoral Scholar, Physical Therapy
Project: Physical inactivity and physical therapy use among older adults with cognitive impairment 

Tasce Bongiovanni, MD, MPP 
Assistant Professor, Surgery
Project: Post-operative pain medication prescribing in older adults undergoing elective surgery

 

New PESC Scholars
PESC Scholars

Ulrike Muench, RN PhD FAAN 
Associate Professor, Social Behavioral Sciences
Project: Opioid Prescribing Trends in Medicare Beneficiaries with Dementia before and after the 2016 CDC Guidelines for Chronic Pain 

Julien Cobert, MD
Assistant Professor, Anesthesia
Project: Post-Intensive Care Unit Outcomes and the Impact of Resilience in Older Adults with Pre-existing Geriatric Conditions 

Anna Oh, BSN, MSN, MPH 
VA Quality Scholar 
Project: Meaningful activities in seriously ill, vulnerable older adults 

Sara LaHue, MD 
Assistant Professor, Neurology
Project: Biological signatures of neurodegeneration and aging associated with delirium in older adults following hip fracture surgery 

James Harrison MPH, PhD  
Assistant Professor, Medicine  
Project: Exploring the preferences and values of older adults with limited English proficiency during the hospital to Skilled Nursing Facility (SNF) care transition

 

New Genius Scholars
Genius Scholars

Julia Adler-Milstein, PhD 
Professor, Medicine 
Project: Implementation, Scaling and Impact of the 4Ms in an IT-enabled Healthcare System

Andy Auerbach, MD
Professor, Medicine 
Project: Utility of Predictive Systems in Diagnostic Errors (UPSIDE)