Mohan Purushothaman, Ph.D. has several years of experience in the pharmaceutical industry with particular focus on pricing and contracting. Most recently, he spent 5 years  at Roche where he headed the pricing and contracting group. In this challenging assignment, he guided the development of pricing strategies for new products and contracting strategies for a number of products. He holds a Ph.D. in Health Finance and Management from the Johns Hopkins University with a focus on Pharmaceutical Pricing.

Daniela Abate, M.B.A.  has over 8 years of experience within the pharmaceutical industry.  She had been employed with Roche Laboratories, Inc during that time.  Her initial assignments have included positions within the Finance and Technical Operations groups.  Her more recent experience has included key assignments within the Pricing & Contracting department and also Sales.  She holds a Bachelors degree in Economics with a concentration in International Trade from Rutgers University.  She also holds a Masters in Business Administration with an emphasis on both Marketing and Finance from Montclair State.

Nandu Nandakumar, Ph.D. has over a decade of experience in pricing/contracting, in a number of industries including oil, heavy equipment, and pharmaceuticals. His area of specialization is pricing analytics and he has helped several organizations including General Electric Energy Services, Roche Laboratories, Wyeth Pharmaceuticals and Schering-Plough. Dr. Nandakumar has a Ph.D. in Operations Management from Carnegie Mellon University and has taught at the Fuqua School of Business, Duke University.

Parul Karnik recently completed her Master’s degree in Applied Mathematics and Statistics from Johns Hopkins University. She also holds a Bachelor’s degree in Mathematics with a concentration in Computer Science from Davidson College. Through her extensive mathematical coursework, she has built a broad array of quantitative analysis skills, including modeling capabilities. In addition, she has practical software development experience having been a member of a small research team that created software to analyze large genomic datasets.