EntityRisk
Elmar Alizadeh is a Data Scientist at EntityRisk since October 2023, bringing a wealth of experience in pharmaceutical economics and policy. Prior to this role, Elmar served as a Pharmaceutical Economics and Policy Doctoral Student at the Leonard D. Schaeffer Center for Health Policy & Economics from September 2016 to August 2023. Elmar's earlier positions include Research Economist Intern at Precision Health Economics, Graduate Teaching Assistant at USC School of Pharmacy, Project Manager at GammaFX, Inc., and MCAT/PCAT/DAT/OAT Instructor at Kaplan Test Prep. Elmar began an academic journey as an Undergraduate Research Assistant at Oakley Evolution Lab. Elmar holds a Ph.D. in Pharmaceutical Economics and Policy from the University of Southern California and a BS in Biological Sciences with High Honors from UC Santa Barbara.
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EntityRisk
EntityRisk's software enables healthcare innovators and payers to measure and manage uncertainty. EntityRisk was founded by three health economists— bringing together decades of academic and industry experience-- to unlock financial innovation in the way new medicines are brought to patients. EntityRisk is building a proprietary algorithmic library to better estimate individual benefits of treatment—through advanced modeling techniques and integrated clinical trial, genomic, and real-world data. Our growing, world-class team of economists, data scientists, software engineers, finance professionals and cutting-edge academic experts is building the tools needed to enable financial innovation in healthcare, some of which include: -Analysis of all current and potential surrogate measures and their connections to critical endpoints of value to patients and payers -Customized individual and subpopulation-level survival and treatment duration curves -Scenario planning for pipeline and inline assets -Proprietary event and cash flow forecasting and analytics for efficacy-linked instruments -Value modeling All of our models are specifically designed to identify risk characteristics and correlations across therapeutic interventions, enabling new value-based payment and performance guarantees.