David earned a B.S. and B.A. in Biochemistry and Economics from Case Western Reserve University in 2008 and a PhD in Biological Engineering from MIT in 2014. His graduate research focused on computational systems biology. Before joining Applied BioMath as a principal software engineer, he was an associate principal scientist at Merck.
I came to Applied BioMath because the tools in pharmaceutical modeling are outdated and innefficient, and I have ideas and desires to improve them
- Early Feasibility Assessment: A Method for Accurately Predicting Biotherapeutic Dosing to Inform Early Drug Discovery Decisions
- A systems pharmacology model for gene therapy in sickle cell disease