Wei-Hsuan "jenny" H Lo-Ciganic

Wei-Hsuan "jenny" H Lo-Ciganic, Ph.D., M.S., M.S.Pharm.

Assistant Professor

Department: Pharmaceutical Outcomes & Policy
Business Phone: (352) 273-6255
Business Email: wlociganic@cop.ufl.edu

About Wei-Hsuan "jenny" H Lo-Ciganic

Wei-Hsuan “Jenny” Lo-Ciganic, M.S.Pharm, M.S., Ph.D. joined the University of Florida College of Pharmacy, department of pharmaceutical outcomes and policy as an assistant professor in 2018. She is a pharmacoepidemiologist, with research interests in drug safety, medication adherence, prescription drug abuse and quality and value of prescribing, especially among vulnerable or minority populations. Her interests in patient safety and quality of care issues focus on improving and developing quality measures and prediction tools using advanced analytics (e.g., machine learning).

Prior to arriving at the University of Florida, Lo-Ciganic worked as an assistant professor at the University of Arizona College of Pharmacy from 2015-18. She was a recipient of the 2015 University of Arizona Health Science Career Development Award and 2016 American Association of Colleges of Pharmacy New Investigator Award. In 2017, Lo-Ciganic received the Pharmaceutical Research and Manufacturers of America (PhRMA) Foundation Research Starter Award in Health Outcomes. Recently she became the Co-PI for the R01 project, “Using Machine Learning to Predict Problematic Opioid Use”, in two large state Medicaid programs, which has been funded by the National Institute of Drug Abuse (NIDA). Since 2015, she has been a member and co-chair of the Pharmacy Quality Alliance’s (PQA) workgroups and Quality Metrics Expert Panel to develop and improve quality measures of prescription medications.


2018 Outstanding Reviewer
2019 · Annals of Internal Medicine
2018 Best Reviewer
2019 · Pharmacoepidemiology and Drug Safety
Grant Mentoring and Career Development Program Awardee
2017 · U.S. Bone and Joint Initiative/Bone and Joint Canada Young Investigators Initiative (YII)
2017 Best Podium Presentation Award
2017 · 2017 International Society of Pharmacoeconomics and Outcomes Research (ISPOR) 22nd Annual Meeting
2016 Outstanding Reviewer
2017 · Annals of Internal Medicine

Research Profile

Pharmacoepidemiology, pharmaceutical health service research, patient safety, quality of prescribing and care, program and policy evaluation, medication adherence, prescription drug abuse and substance use disorders and advanced analytics including trajectory analysis, machine learning and spatial pattern mining

Open Researcher and Contributor ID (ORCID)



2016 Progress in Community Health Partnerships-Research Education and Action
2015 Journal of the American Geriatrics Society
2015 Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology


Jan 2020 ACTIVE
Leveraging social media data for evaluation of drug use trends after opioid policies
May 2019 ACTIVE
Developing a Real-Time Trajectory Tool to Identify Potentially Unsafe Concurrent Opioid and Benzodiazepine Use among Older Adults
NATL INST OF HLTH NIA · Principal Investigator
Jul 2018 – Jun 2020
Machine Learning and Opioid Overdoses
UNIV OF PITTSBURGH · Principal Investigator
Jul 2018 ACTIVE
Using Machine Learning to Predict Problematic Opioid Use and Opioid Overdoses
UNIV OF PITTSBURGH · Principal Investigator


2013 · University of Pittsburgh
2010 · University of Pittsburgh
2005 · National Cheng Kung University
2003 · National Taiwan University

Contact Details

(352) 273-6255

Recent news

Dr. Weihsuan “Jenny” Lo-Ciganic to lead virtual ISPOR workshop on machine learning

Weihsuan “Jenny” Lo-Ciganic, Ph.D., M.S., M.S.Pharm., will lead a short course workshop on machine learning as part of the International Society for Pharmacoeconomics and Outcomes Research’s Virtual ISPOR 2020 Conference from 10 a.m.…

Dr. Weihsuan “Jenny” Lo-Ciganic wins UF Excellence Award for Assistant Professors

The UF Excellence Award for Assistant Professors is one of the university’s top awards for a junior faculty member.

UF, Genentech, and conference collaboration leads workshop offered at Virtual ISPOR 2020

The virtual workshop will address how machine learning and data mining techniques can enhance health economics outcomes research.

Meta-analysis led by UF researchers compares different treatment options for advanced melanoma

The study was published in JAMA Open Network and its findings may be valuable for clinical decision-making regarding treatment regimen selection for individuals with advanced melanoma.