Biography
I am an accomplished epidemiologist, who specializes in the principled use and development of advanced causal inference methods for answering pharmacepideiological research questions in numerous therapeutic areas. In the real-world evidence space, I have designed and conducted dermatology and oncology studies, the latter being those on high-risk non-muscle invasive bladder and advanced non-small cell lung cancer. I am currently an Observational Research Manager at Amgen contributing to studies that shape the benefit/risk profile of our bone products. I received an MPH and a PhD in Epidemiology from Columbia University Mailman School of Public Health where I had formal training epidemiological methods with a primary focus on causal inference methods.
Download my CV.
- Linking claims and clinical data
- Causal inference methods in pharmacepidemiology
- Osteoporosis and bone pharmacoepidemiology
PhD in Epidemiology, 2023
Columbia University
MPH in Epidemiology, 2016
Columbia University
BA in Business communications, 2010
Richmond University
Skills
Experience
Responsibilities include:
- Contributing to studies addressing the benefit/risk profile of bone products
Responsibilities include:
- Designing pharmacoepidemiological hepatology, dermatology, and oncology studies with claims and electronic health record data, including studies that integrate both types of data
- Implementing advanced causal inference methods to surmount common problems in pharmacoepidemiological analyses
- Clone censor weight approach to address immortal time bias due to the start of follow-up and treatment initiation not coinciding
- Inverse probability of censoring weight approach for informative right censoring
- Prevalent new user design for non-contemporaneous marketing in comparative effectiveness studies
- Writing proposals and developing presentations to help Target RWE win new contracts and continue existing ones
- Completed doctoral epidemiology training and dissertation on nicotine vaping’s unintended consequences
- Performed teaching assistant duties for numerous epidemiology and statistics courses
