All our activities depend on good health. And if we need help with it, we need to know that we know as much as humanly and machine learning-ly possible, and that we're doing everything achievable with state of the art of medicine -- and even pushing that. Better yet, we want to do the right things for our health proactively. In many ways this is knowledge management, predictive analytics, data mining on genomes and annotated medical images, merging streams of sensor data from medical devices, activity sensors, and historical records. We'll connect the companies in the space with foundational open-source paltforms and leading practitioners using them to build the next level of life and health understanding.

Please see the umbrella Data By the Bay description of a good talk By the Bay.

For Life Sciences By the Bay, some specific topics of interest include:

• Genomics sequencing, data pipelines required for it, algorithms and applications
• Medical devices, sensor data, stream processing and mining, alerting
• Biomedical ontologies, knowledge bases, annotation of images and results
• Deep Learning for medical imaging and sensor data
• And more!

Last year, we started with a two-day, three-track, 50-talk conference. We've put together an inspiring program centered around language, Big Data, text and images, deep learning, UI, social networks, and much more.

This year, we're running the first data grid conference sequence with with seven verticals over five days. Each day's attendance is limited to only 400 seats and it will be full. We hope you join us in May By the Bay!

Jeremy Howard

Jeremy Howard is a serial entrepreneur, business strategist, developer, and educator. He is the CEO of Enlitic, a startup he founded to use recent advances in machine learning to transform the practice of medicine, and bring modern medical diagnostics to billions of people in the developing world for the first time. He is the youngest faculty member at Singularity University, where he teaches data science, and is also a Young Global Leader with the World Economic Forum. Previously he was the President and Chief Scientist of Kaggle, a community and competition platform for over 150,000 data scientists. Before working at Kaggle, he was the top ranked participant in data science competitions globally, in 2010 and 2011. He founded two successful Australian startups (the email provider FastMail, and the insurance pricing algorithm company Optimal Decisions Group), both of which grew internationally and were sold to large international companies. He started his career in management consulting, working at the world's most exclusive firms, including McKinsey & Co, and AT Kearney (becoming the youngest engagement manager world-wide, and building a new global practice in what is now called "Big Data"). He is also a keen student, for example developing a new system for learning Chinese, which he used to develop usable Chinese language skills in just one year. Jeremy has mentored and advised many startups, and is also an angel investor. He has contributed to a range of open source projects as a developer, and was a regular expert guest on Australia's most popular TV morning news program.