Quantitative Models in Life Science Business

Jung Kyu Canci is a senior lecturer and researcher at the University of Basel and at the Lucerne University of Applied Sciences and Arts in Lucerne, Switzerland. His research is in pure mathematics, number theory, with particular interests in arithmetic of dynamical systems, and in applied mathematics, especially stochastic processes in finance. He is the founder of several companies. Philipp Mekler is trained in both biochemistry and mathematics; he has 40+ years of experience in the Pharma/Life Science sector in R&D, sales/marketing, business analysis and bio-business finance/venture capital in CH/US/IL. Currently, he is working as a strategic advisor at the Roche Pharma International Data and Analytics chapter in Basel, Switzerland. Gang Mu is a visiting research scholar at the University of Zurich, Switzerland and former head of Artificial Intelligence for partnership at Roche, Basel. He holds a Ph.D. degree in mathematics and has comprehensive experience in connecting mathematics, health care and technology, driving impacts and outcomes for patients and healthcare systems. He is the founder of Swiss Network for Mathematics in Industry.

Part I. Value Creation and Managing Intellectual Property in the Life Science Industry.- Chapter 1. Value Creation, Valuation and Business Models in the Pharmaceutical Sector.- Chapter 2. Alternative Licensing Strategies: A Piecewise Deterministic Di erential Game.- Chapter 3. Partnership Models for R&D in the Pharmaceutical Industry.- Part II. Modelling Specific Business Processes in the Life Science Industry.- Chapter 4. Pharma Tender Processes: Modelling Auction Outcomes.- Chapter 5. Multi-Echelon Inventory Optimization Using Deep Reinforcement Learning.- Part III. Specialized Quantitative Tools in the Life Science Industry.- Chapter 6. Stochastic Di erential Equations in Healthcare.- Chapter 7. Point Processes with Mixed Doubly Stochastic Poisson and Self-Exciting Flavors: An Excursion Into DALY Computations.