Who will speak at Data Day Texas 2018?

Take advantage of advance discount prices at the official conference hotel - The AT&T Conference Center.

We have just begun to announce the first wave of speakers for 2018. Is there someone you want to see? Some tool, technology, or project you want to see covered? Send us your thoughts at suggestions@datadaytexas.com

Alex Engler (Washington, D.C.) @alexcengler

Alex Engler (LinkedIn / GitHub / Urban Institute / Georgetown / Johns Hopkins) is the Program Director and Lecturer for the M.S. in Computational Analysis and Public Policy program at the University of Chicago. He is also a contributing data scientist to the Urban Institute, where he worked before UChicago. Alex also previously taught visualization and data science for policy analysis at Georgetown University and Johns Hopkins University.
Alex will be presenting the following workshop: Introduction to SparkR in AWS EMR, as part of R User Day.

Chester Ismay (Portland) @old_man_chester

Chester Ismay (LinkedIn / GitHub) is an Adjunct Assistant Professor at Pacific University, and an Instructional Technologist and Consultant for Data Science, Statistics, and R at Reed College.
Chester will be speaking as part of R User Day.

Holden Karau (San Francisco) @holdenkarau

Holden Karau is a transgender Canadian, Apache Spark committer, an active open source contributor, and co-author of Learning Spark & High Performance Spark. When not in San Francisco working as a software development engineer at IBM’s Spark Technology Center, Holden talks internationally on Spark and holds office hours at coffee shops at home and abroad. She makes frequent contributions to Spark, specializing in PySpark and Machine Learning. Prior to IBM she worked on a variety of distributed, search, and classification problems at Alpine, Databricks, Google, Foursquare, and Amazon. She graduated from the University of Waterloo with a Bachelor of Mathematics in Computer Science. Outside of computers she enjoys dancing & playing with fire.

Alex Korbonits (Seattle) @korbonits

Alex Korbonits is a Data Scientist at Remitly, Inc., where he works extensively on feature extraction and putting machine learning models into production. Outside of work, he loves Kaggle competitions, is diving deep into topological data analysis, and is exploring machine learning on GPUs. Alex is a graduate of the University of Chicago with degrees in Mathematics and Economics.
Alex gave one of the highest rated talks at Data Day Texas 2017: Distilling Dark Knowledge from Neural Networks.
Alex will be speaking as part of AI Weekend.

Jared Lander (NYC) @jaredlander

Jared Lander (LinkedIn) is the Chief Data Scientist of Lander Analytics a data science consultancy based in New York City, the Organizer of the New York Open Statistical Programming Meetup and the New York R Conference and an Adjunct Professor of Statistics at Columbia University. With a masters from Columbia University in statistics and a bachelors from Muhlenberg College in mathematics, he has experience in both academic research and industry. His work for both large and small organizations ranges from music and fund raising to finance and humanitarian relief efforts.
Jared specializes in data management, multilevel models, machine learning, generalized linear models, data management and statistical computing. He is the author of R for Everyone: Advanced Analytics and Graphics, a book about R Programming geared toward Data Scientists and Non-Statisticians alike and is creating a course on glmnet with DataCamp.
Chester will be speaking as part of R User Day.

Charity Majors (San Francisco) @mipsytipsy

Charity Majors is an engineer and cofounder at Honeycomb - a new startup focused on making impossible data observability problems not only possible, but exploratory and inviting for teams of all types. Prior to Honeycomb, Charity led the Parse infrastructure team as they grew Parse from a handful of mobile apps to over a million, then worked as an engineering manager at Facebook, while pairing closely with the RocksDB team to develop and roll out the world's first Mongo+Rocks in production. She is a reluctant DBA who has spent far too much time running Mongo, Cassandra, Mysql, Redis, and probably more but those brain cells are gone. Charity is co-author ( with Laine Campbell) of the upcoming O'Reilly book Database Reliability Engineering and loves single malt scotch.
Charity's GitHub
Charity Majors will be giving the keynote for Data Day Seattle.

Hilary Parker (San Francisco) @hspter

Hilary Parker (LinkedIn / GitHub) is a Data Scientist at Stitch Fix and co-host of the Not So Standard Deviations podcast. She is an R and statistics enthusiast determined to bring rigor to analysis wherever she goes. At Stitch Fix she works on teasing apart correlation from causation, with a strong dose of reproducibility. Formerly a Senior Data Analyst at Etsy, she received a PhD in Biostatistics from the Johns Hopkins Bloomberg School of Public Health.
Julia will be speaking as part of R User Day

Gabriela de Queiroz (San Francisco) @gdequeiroz

Gabriela de Queiroz (LinkedIn / GitHub) is the Lead Data Scientist at SelfScore. Formerly Gabriela was data scientist at Sharethrough, where she developed statistical models from concept creation to production, designed, ran, and analyzed experiments, and employed a variety of techniques to derive insights and drive data-centric decisions. Gabriela is the founder of R-Ladies, an organization created to promote diversity in the R community, which now has over 25 chapters worldwide. Currently, she is developing an online course on machine learning in partnership with DataCamp.
Gabriela will be speaking as part of R User Day

David Robinson (NYC) @drob

David Robinson (LinkedIn / GitHub) is a data scientist at Stack Overflow with a PhD in Quantitative and Computational Biology from Princeton University. He enjoys developing open source R packages, including broom, gganimate, fuzzyjoin and widyr, as well as blogging about statistics, R, and text mining on his blog, Variance Explained.
David will be speaking as part of R User Day.

Julia Silge (Salt Lake City) @juliasilge

Julia Silge (LinkedIn / GitHub) is a data scientist at Stack Overflow. She enjoys making beautiful charts, the statistical programming language R, black coffee, red wine, and the mountains of her adopted home here in Utah. She has a PhD in astrophysics and an abiding love for Jane Austen. Her work involves analyzing and modeling complex data sets while communicating about technical topics with diverse audiences.
Julia will be speaking as part of R User Day.

David Smith (Chicago) @revodavid

David Smith is the R Community Lead at Microsoft. With a background in data science, he writes daily about applications of predictive analytics at the Revolutions blog (blog.revolutionanalytics.com), and is a co-author of Introduction to R.
David will be speaking as part of R User Day.

Daniel Woodie (Austin) @DanielWoodie5

Daniel Woodie is founder and lead scientist of Bamboo Analytics, a data science services firm. He's trained originally as a statistician and has worked on applications ranging from systems neuroscience to global supply chains. With Bamboo Analytics he offers analytical consulting and training to early stage startups and Fortune 500 companies, alike.
Daniel will be emcee for R User Day at Data Day Texas.

 

 


Emil Eifrem of Neo4j describing the evolution of the property graph model.


Rob McDaniel (Seattle) of LiveStories was one of the highest rated speakers at Data Day Texas 2017