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Global Affiliates Research Presentations (session 5 of 5)



Lizhong Chen, SanJohn Capital
Umesh Desai, Reliance Life Sciences
Akihisa Makino, Japan Patent Office
Keisuke Yamazaki, The Asahi Shimbun

Date and Time

May 23, 2019 12:00 PM - 2:00 PM



RSVP required by 5PM May 20.


Philippines Conference Room
Encina Hall, Third Floor, Central
616 Serra Mall, Stanford, CA 94305

The format of this presentation is each of the four speakers will have approximately 15 minutes to present their research.  This will be followed by a short period of 5-10 minutes for any questions or comments from the audience.

In this session of the Global Affiliates Research Presentations, the following will be presented:

Alex Chen, SanJohn Capital, "A Happy Mind of an Investor"

As an investor, it's almost impossible to keep a peaceful mind and a tranquil heart.  An investor's physical, mental and spiritual states are susceptible to the market's ups=-and-downs, fluctuating with stock prices.  The emotional burden can be so heavy that many investors quit.  The defining quality of a successful investor is their ability to stay uninfluenced by external circumstances — or what is called a beginner's or happy mind.  In his presentation, Chen shares some examples of successful investments made with a new approach.

Umesh Desai, Reliance Life Sciences, "Production Management and Process Excellence Aspects in Manufacturing of Biopharmaceutical Products"

Achieving excellence, especially in the manufacturing of biopharmaceutical products, is difficult, but not impossible.  Successful use of different process excellence tools such as Lean (different wastes), Kaizen (continuous improvement), and Six Sigma (reduce variation) started in the automobile industry in the 1950s with the Toyota Production System.  Some pharma manufacturers tried to introduce these concepts, but were met with difficulties due to complex production manufacturing processes, maintaining good quality products, and meeting regulatory guidelines.  Implementing and maintaining this operational excellence in pharma industries, and then shifting to the biopharma industry made the task even more challenging.  Today, you can see these concepts in the biopharma industry more, but still not fully.  In his presentation, Desai will share examples of operational excellence and show how it has been modified and applied to the biopharma industry.  He will also share some solutions to improve the production time and efficiency to get the right quality product with affordable cost to the user. 

Akihisa Makino, Japan Patent Office, "Best Strategies for Intellectual Property in the Field of Medical Science"

Intellectual property (IP), such as patents, are exclusive rights and essential to make businesses with technology successful.  All companies, including startups, are required to obtain patents and plan their IP strategy properly by the time their products launch.  In the field of medical science, there are various technical fields such as cellular therapy, vaccine, small molecule organic compounds, and regenerative medicine, each with different IP strategy.  In his research, Makino has studied patent application trends in each of these technical areas as well as differences in patent application categories between small and large companies in Japan and the United States.  Additionally, after investigating patents of successful companies, in this presentation, Makino will propose the best IP strategy in this field based on his research findings.

Keisuke Yamazaki, The Asahi Shimbun, "How to Encourage Internet Users to Utilize the Web with Political Balance"

Every day, we get our news in a variety of ways – browsing the web, through news feeds of social networking services and from news apps.  These systems each have their own algorithms that deliver articles to fit the user's preferences.  Though they are good tools for users to find articles, the diversity of the articles is often lost.  In his research, Yamazaki studied situations of internet bias such as a "filter bubble".  In this presentation, he shares measures he learned to avoid this bias and proposes new methods to distinguish between liberal and conservative news by using machine learning. 

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