Congrats Mike! On Thu, Oct 6, 2016 at 12:27 PM Matthias Bussonnier < [email protected]> wrote:
> Happy to have you on board Mike ! > > -- > M > > On Thu, Oct 6, 2016 at 10:52 AM, Damián Avila <[email protected]> > wrote: > > A belated... > > > > Welcome Mike!! > > > > Nice to have you on board on team. > > > > Cheers. > > > > 2016-09-29 20:51 GMT-03:00 JamieW <[email protected]>: > >> > >> 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! > >> > >> > >> - > >> > >> Jamie Whitacre > >> > >> Jupyter Technical Project Manager > >> > >> Berkeley Institute for Data Science (BIDS) > >> > >> -- > >> You received this message because you are subscribed to the Google > Groups > >> "Project Jupyter" group. > >> To unsubscribe from this group and stop receiving emails from it, send > an > >> email to [email protected]. > >> To post to this group, send email to [email protected]. > >> To view this discussion on the web visit > >> > https://groups.google.com/d/msgid/jupyter/dcc82195-ee31-4272-82d8-2a0ce19b9b7b%40googlegroups.com > . > >> For more options, visit https://groups.google.com/d/optout. > > > > > > > > > > -- > > Damián > > > > -- > > You received this message because you are subscribed to the Google Groups > > "Project Jupyter" group. > > To unsubscribe from this group and stop receiving emails from it, send an > > email to [email protected]. > > To post to this group, send email to [email protected]. > > To view this discussion on the web visit > > > https://groups.google.com/d/msgid/jupyter/CAH%2BmRR04N13ijOL8arv%3D-OyHMFhoX5JS3T7JcYr55jwoyAyU4w%40mail.gmail.com > . > > > > For more options, visit https://groups.google.com/d/optout. > > -- > You received this message because you are subscribed to the Google Groups > "Project Jupyter" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To post to this group, send email to [email protected]. > To view this discussion on the web visit > https://groups.google.com/d/msgid/jupyter/CANJQusWYQzAHM_RCdnSeN%3DJg8dRoj4kvgJZk%2B8Q%3DHjBz_z%3DGjg%40mail.gmail.com > . > For more options, visit https://groups.google.com/d/optout. > -- You received this message because you are subscribed to the Google Groups "Project Jupyter" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/jupyter/CAAoBLw1rUs-Ut0uq%2B-_cqJd6gSNbKdAbenDb4Ms-%2BhEHGfqpjg%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
