MSQM: Health Analytics
Biological Engineering, 2001
I’ve been able to apply many things from the program in my career. One technique I applied is a form of machine learning called reinforcement learning to develop personalized digital engagement journeys for health care providers, to overcome in-person access challenges stemming from the pandemic. Traditionally, biopharma promoted drugs through in-person engagements between healthcare providers and their representatives. The pandemic turned this engagement model on its head, shifting reliance to digital-only channels. Reinforcement learning algorithms analyze digital data quickly to deliver the right message at the right time regarding the right patient to providers in an orchestrated and personalized way to increase patient access to care.
I was VP of Solutions Engineering at Decision Lens. I was charged with developing the technical sales strategy for Decision Len’s prioritization and resource optimization software platform across the Public Sector and Commercial Life Sciences verticals. I also structured operational processes and monitored performance of Decision Lens’s Solutions Engineering Division.
During the program I took on a new role as Principal Strategic Advisor, Commercial Life Sciences at SAS. In this role I am a domain expert who helps biopharma, biotech, and medical devices companies incorporate advanced analytics across their value chain to decrease time to market for new therapies and devices, and to increase patient access.
My Favorite Professor
All of the MSQM professors are amazing, so it is hard to pick one. However, I particularly enjoyed Professor Peng Sun, who teaches Decision Models. Professor Sun was able to teach complicated concepts around decision making under uncertainty using decision trees, simulations, and optimization techniques in a clear and patient way. Professor Sun’s passion around these topics is contagious and his patient and approachable style is a powerful part of his pedagogy.