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Christoph Molnar
christophM
Interpretable Machine Learning researcher. Author of Interpretable Machine Learning Book: https://christophm.github.io/interpretable-ml-book/
Munich
Colin Fay
ColinFay
👨💻 Data Science and Engineering at @ThinkR-open.
"Chaotic good developer".
Loves building things, loves breaking things.
Runs 🏃♂️.
Eats plants 🌱.
@ThinkR-open Rennes, France
Daniel Sjoberg
ddsjoberg
Senior Principal Data Scientist @Genentech; previously @sloan_kettering;
Golden Girls Superfan
Genentech San Francisco Bay Area
Sean J. Taylor
seanjtaylor
Decision Science Products at Lyft.
Keywords: Experiments, Causal Inference, Statistics, Machine Learning, Economics.
San Francisco, CA
Raphael Sonabend
RaphaelS1
Director and Founder of OSPO Now. You can find my code scattered across orgs: RaphaelS1, mlr-org, and xoopR.
OSPO Now London
Joe Cheng
jcheng5
CTO of RStudio, Inc. Creator of the Shiny framework.
@rstudio Redmond, WA (United States)
Yuan Tang
terrytangyuan
Principal Engineer at Red Hat | Project Lead @argoproj @kubeflow | Maintainer @tensorflow XGBoost | ML/AI Infrastructure | Author | Speaker | Technical Advisor
Red Hat USA
Arno Candel
arnocandel
CTO at H2O.ai,
ML, AI, GenAI, Deep Learning, Data Science, H2O-3, H2O Driverless AI, h2oGPTe. Kaggle Master, PhD Physics ETH, Stanford Linear Accelerator.
http:https://h2o.ai Los Gatos, CA
Grant McDermott
grantmcdermott
Principal Economist at Amazon. Mix of economics, data science, and open source.
Amazon Eugene, Oregon
Danton Noriega-Goodwin
dantonnoriega
mediocre economist.
practicing data scientist.
ultimate player.
duke phd.
georgetown in my ❤️.
United States
