<table><tr><th>From:</th><th>George G. Mueller &lt;</th></tr><tr><td>Sent:</td><td>Monday, November 23, 2015 6:17 PM</td></tr><tr><td>To:</td><td>jeffrey E.</td></tr><tr><td>Cc:</td><td>Gino Yu</td></tr><tr><td>Subject:</td><td>Meeting Followup</td></tr></table>

Hey Jeffrey, it was a pleasure meeting you on Friday. I found the conversat=on enjoyable though far too fleeting for my liking. I hope to carry on our=dialog about companies and markets. Are you interested in hearing more abo=t Cerebellum Capital (see below) our machine learning fund? It think there is some nice crossover between y=ur knowledge and our mission. Let me know if you'd like to hear more abo=t this. Cheers! -Geo

Cerebellum Capital is a hedge fund m=nagement firm whose investment programs are continuously designed, execute=, and improved by a software system based on techniques from statistical m=chine learning.

The system is responsible for consta=tly creating its own new models for how the markets will move, testing tho=e models, refining them, and learning trading strategies that take advanta=e of these predictive models. The system is provided with a wide variety of traditional and non-traditional,=publicly available and licensed data streams as inputs to its model creati=n and improvement process. Cerebellum's software system learning optimizes=for a proprietary mix of expected return maximization, risk/volatility reduction across the portfolio, and p=rtfolio independence from major markets when they trend downward. Cerebell=m's architecture for continuous improvement, self-diagnosis, and fault tol=rance is based on a collective 30 years research in the area of statistical machine learning applied to r=al world, mission critical time-series problems.