EntityRisk
Andrew Morris is an experienced data professional with a strong background in data science and analytics. Currently serving as a Data Scientist at EntityRisk, Inc. since January 2022, Andrew previously held positions as Senior Data Analyst and Manager of Data & Analytics at Fresh Clean Tees from June 2021 to January 2022. Prior experience includes roles as a Research Associate and Senior Analyst at Cornerstone Research, where Andrew contributed from September 2017 to May 2021, as well as a Summer Analyst at Cornerstone Research in mid-2016. Academic preparation includes a Bachelor of Arts in Mathematics and Cognitive Science from the University of Southern California, where Andrew engaged in significant research on Knot Theory and DNA-Enzyme Interactions and served as a Rose Hills Undergraduate Research Fellow. Additional experience includes tutoring and advising at the John Harvard Learning Center from 2011 to 2013.
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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.