Thomas Wiecki, Andrew Heusser, Titi Alailima and Alexander Fengler
10am PT / 1pm ET / 6pm UTC / 7pm Berlin
Pre-register on zoom: Meeting Registration - Zoom
Digital therapeutics are evidence-based, clinically evaluated software and devices that can be used to treat an array of diseases and disorders, according to the Digital Therapeutics Alliance, the industry’s trade association. They can be used independently or with medications, devices, and other therapies to treat physical and behavioral health conditions, including pain, diabetes, anxiety, post-traumatic stress disorder, and asthma.
In this talk, we discuss using Bayesian methods and PyMC to test a range of computational models of cognition, specifically with an eye towards ADHD (Attention-deficit/hyperactivity disorder). We will focus on some technical challenges and how ideas from likelihood-free inference and machine learning can help us overcome them.
We will start with the big picture, eventually narrowing down on how to get the job done with PyMC!
Dr. Andrew Heusser is a Senior Data Science Manager at Akili, Inc. At Akili, he leverages his expertise in statistics, machine learning and cognitive science to develop data-driven product features and computational cognitive models of users as they engage with Akili’s digital therapeutic products. He has a PhD from New York University where he studied cognitive neuroscience.
Dr. Thomas Wiecki is an author of PyMC, the leading platform for statistical data science. To help businesses solve some of their trickiest data science problems, he assembled a world class team of Bayesian modelers founded PyMC Labs – the Bayesian consultancy. He did his PhD at Brown University studying cognitive neuroscience.
Alexander Fengler is a computational cognitive neuroscientist interested in applications of deep learning to facilitate statistical inference for simulator models.
Titi Alailima is a VP at Akili Interactive. He has experience in Software Engineering and Data Science.
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