San Francisco, Jan 6-9. Asilomar, Jan 9-12.

We’re headed west for a week!

If you’re in San Francisco or Monterey and want to meet up, please reach out. Both Eric and Daniel are making the trip. We’ll be in town for the J.P. Morgan Healthcare Conference and StanCon 2018.

Here are the things we have lined up so far:

Office Hours

Mon, Jan 8, 1-3 PM. Tue, Jan 9. 12-3 PM. San Francisco

We’re hosting office hours at Press Club, 20 Yerba Buena Ln. If you’re interested in the application of Bayesian methods in healthcare or using Stan within industry, please book some time with us: http://bit.ly/GenerableHQ.

If those times aren’t convenient, email or tweet at us and we’ll find some other time to meet.

Talk: Fixing Healthcare with Bayesian Inference and Stan

Tue, Jan 9, 6 - 8 PM.
Location: Zymergen, Inc. 5980 Horton St, Emeryville.
Cost: Free with registration

Eric and Daniel will be giving a talk at the Bay Area Probabilistic Programming meetup.

Stan is an open source probabilistic programming language that was released in 2011
by a small team of developers at Columbia University. Today, Stan has thousands of
users across many industries and is growing rapidly.

Stan includes a flexible modeling language for expressing statistical models and a
set of inference algorithms, most notably HMC with NUTS which is revolutionizing
high dimensional statistical computing. Stan also includes a set of ODE (Ordinary
Differential Equation) solvers developed in collaboration with Novartis that are
particularly useful in Pharma and other industries that are interested in
mechanistic and semi-mechanistic models.

At Generable we are building an analytics platform targeted at the healthcare market
where data alone are not enough to inform statistical inferences. This is
particularly relevant to Rare Diseases, Pediatrics, and Oncology where patient
populations are small and the mechanism of action may not be understood but could be
reasonably approximated. In these cases, most traditional methods of inference
simply do not work.

In this talk will focus on a clinical meta-analysis model and highlight all the
steps of Bayesian analysis, emphasizing which parts of the workflow we are
automating. 

The talk is open to the public. We’ll be heading down to StanCon right after the talk.

Stan Conference 2018

Wed - Fri, Jan 10 - 12. Asilomar.

We’re really proud to be sponsoring StanCon 2018! We’re involved with the organization of this year’s conference and you can catch us here:

  • Short course: Executive decision making the Bayesian way.
    Wed - Fri, 8 - 9 am.
    Eric is co-teaching this course.

  • Talk: A brief history of Stan.
    Thu, 12:10 - 12:30 pm.
    Daniel will be discussing some of the history of Stan.

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