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@anthropics
Anthropic anthropics

United States of America

@aguilana
Nick Aguila aguilana
Software engineer leveraging technology to drive progress.

Washington, DC

@jburnim
Jacob Burnim jburnim

@google San Francisco, CA

@elizavetasemenova
Elizaveta Semenova elizavetasemenova
Bayesian inference, spatial statistics, deep generative models, epidemiology

Oxford, UK

@karpathy
Andrej karpathy
I like to train Deep Neural Nets on large datasets.

Stanford

@cscherrer
Chad Scherrer cscherrer
Probabilistic programming in Rust and Julia

Redpoll Seattle, WA

@mitzimorris
Mitzi Morris mitzimorris
Software Engineer See https://mitzimorris.github.io
@sjwhitmore
Samantha Whitmore sjwhitmore
working on new.computer

new.computer

@hawkinsp
Peter Hawkins hawkinsp
JAX @ Google

Google Princeton, NJ

@tomicapretto
Tomás Capretto tomicapretto
Data Scientist. Open Source Developer.

@pymc-labs Argentina

@jakevdp
Jake Vanderplas jakevdp
Python ML & Data Science

Google Oakland CA

@AustinRochford
Austin Rochford AustinRochford
Chief Technology Officer @ Monetate, recovering mathematician, enthusiastic Bayesian

Monetate Philadelphia, Pa

@dustinvtran
Dustin Tran dustinvtran

Google DeepMind San Francisco, CA

@fritzo
Fritz Obermeyer fritzo
Inference Engineer. Maintains @pyro-ppl. Bayesian pragmatist

@positron-ai Bellingham, WA

@lucianopaz
Luciano Paz lucianopaz
At PyMC-Labs, I help companies build bayesian models to suit their business needs

PyMC-Labs Trieste, Italy

@syclik
Daniel Lee syclik
Bayesian statistician, sports analytics @zelus-analytics, @stan-dev developer.

@zelus-analytics New York City

@bob-carpenter
Bob Carpenter bob-carpenter
I work in computational and applied statistics, largely on the Stan probabilistic programming language, autodiff library, and Bayesian inference algorithms.

Flatiron Institute New York

@mattjj
Matthew Johnson mattjj
research scientist @ Google Brain

Google San Francisco

@alxmrs
Alex Merose alxmrs
Excited about open source science.
@Armavica
Virgile Andreani Armavica
Hi! I am a physicist by training with a PhD in computational biology. I love Rust, Monte-Carlo methods and scientific computing. Core developer of @pymc-devs.

Inria Paris

@EiffL
Francois Lanusse EiffL
Cosmology and Deep Learning researcher @CosmoStat, @PolymathicAI

Paris

@ricardoV94
Ricardo Vieira ricardoV94

@pymc-devs @pymc-labs

@michaelosthege
Michael Osthege michaelosthege
Bioprocess and laboratory automation engineer | PyMC developer

Forschungszentrum Jülich GmbH Germany

@ahartikainen
Ari Hartikainen ahartikainen
Geophysics, Mineralogy Bayesian statistics, Visualization. Core Developer at @stan-dev and @arviz-devs

@lumoanalytics Espoo, Finland

@fonnesbeck
Chris Fonnesbeck fonnesbeck
Quantitative hack

PyMC Labs

@junpenglao
Junpeng Lao junpenglao
I used to do brain stuff.

@google Zurich, Switzerland

@twgr
Tom Rainforth twgr
Senior Research Fellow in Machine Learning at the University of Oxford
@canyon289
Ravin Kumar canyon289
Building generative models before it was trendy

Google Deepmind Los Angeles

@fehiepsi
Du Phan fehiepsi
a math student, a data novice, a zen mind

Google Providence, RI

@eigenfoo
George Ho eigenfoo
Runner of remote processes. Natural language processing, Bayesian modelling and coffee. (he/him/his)

New York, NY

@CamDavidsonPilon
Cameron Davidson-Pilon CamDavidsonPilon
CEO of Pioreactor. Former Director of Data Science @Shopify. Author of Bayesian Methods for Hackers and DataOrigami.

@Pioreactor Waterloo, Canada

@aloctavodia
Osvaldo A Martin aloctavodia
I develop open-source software for Bayesian modeling and create educational material on probabilistic modeling, and exploratory analysis of Bayesian models.

Aalto University Finland

@ferrine
Maxim Kochurov ferrine
Researcher @ PyMC Labs; MSU/Skoltech; Core Dev @ PyMC, Geoopt

MSU Economics / Skoltech CS Moscow

@dfm
Dan Foreman-Mackey dfm
On parental leave. Expect delayed responses!

NYC

@dmasad
David Masad dmasad
Computational social scientist
@avehtari
Aki Vehtari avehtari
Web page http://users.aalto.fi/~ave/

Aalto University Finland