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.
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
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.…
The UF Excellence Award for Assistant Professors is one of the university’s top awards for a junior faculty member.
The virtual workshop will address how machine learning and data mining techniques can enhance health economics outcomes research.
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.