Wei Zhang

Head, Corporate Development
Good Start Genetics Inc.

Wei is currently leading business development activities at Good Start Genetics, a next generation molecular diagnostics company. Previously, Wei was at Safeguard Scientifics, a public venture capital fund, where he led healthcare investments including Good Start Genetics. Prior to Safeguard, Wei worked at BioAdvance, a Pennsylvania state initiative committed to funding early-stage life sciences companies. Wei has also interned at or consulted for several venture capital firms in the US and Asia. In his early career, Wei worked in the biotech industry developing biologics in various therapeutic areas. Wei holds a BS from Nanjing University in China, a PhD in chemistry from Boston University, and an MBA from the Wharton School at University of Pennsylvania. Wei also completed the prestigious Kauffman Fellows Program dedicated to innovation investing.

Check out the incredible speaker line-up to see who will be joining Wei.

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Day 2

Sunday, April 10th, 2016

13:45 PANEL: Exploring Opportunities And Overcoming Challenges To Do Business In China And Other Emerging Markets

• Determining why there is a big appetite for acquiring companies and licensing in China; how does China factor into biopharma’s plans for the future?

• The Wild, Wild West: Developing a strategy to overcome issues in regulatory approval, reimbursement, and more

• Establishing which product profiles work in China and which do not

• Outlining successes, challenges, and lessons learned in working in China and other emerging markets

16:20 PANEL: Tackling Big Data And Real World Outcomes To Catalyze Further Growth In Your Pipeline

• Defining big data, real world outcomes, and real world data: which is the most actionable concept?

• With so much being logged and tracked electronically, how can real world data take processes and technology apart, then restructure them most efficiently?

• How can big data help us get more creative as to how we collaborate (even across industry verticals) to get to the actual solutions that patients and providers want

• Creating the right combination of people (prescribers and other healthcare institutions), processes, and technology to be successful using big data