Welcome Mike Pacer to the Jupyter Team!
JamieW
Please join Project Jupyter in welcoming Mike Pacer to the core development team!
Mike Pacer is a post-doctoral scholar with Fernando Perez at the Berkeley Institute for Data Science (BIDS). He earned his PhD at UC Berkeley in Psychology after undergraduate training in Psychology at Yale University. Mike’s graduate research focused on building computational and experimental accounts of causal induction and explanation, particularly comparing computational models’ responses to human responses when all are given the same data. This required building a mathematical framework for continuous-time causal theories (which are generative models for continuous-time causal Bayesian networks), as well as constructing engines for programmatically manipulating, generating, and querying probabilistic graphical models (e.g., [cbnx](https://github.com/michaelpacer/Causal-Bayesian-NetworkX) and [hidden-structure-inference](https://github.com/michaelpacer/hidden_structure_inference)). Mike is one of the founders of Amperser Labs, which developed Proselint (a linter for prose).
Mike will be working on integrating Jupyter (particularly, Jupyter notebooks) with the scientific publication pipeline. When not working on machine learning, cognitive science, automated advice giving and Jupyter, Mike studies the history of science and medicine, studies the history of coded communication (paper, pens, ink, mathematical notation, writing systems, typography, audio recording, telegraphs &c.), draws, and thinks about how to computationally model (basically) everything.
Welcome Mike!
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Jamie Whitacre
Jupyter Technical Project Manager
Berkeley Institute for Data Science (BIDS)
Damián Avila
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Matthias Bussonnier
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Jonathan Frederic
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