Work: I am the Director for Data Analytics and AI Solutions on Google Cloud. My team builds software solutions for business problems using Google Cloud's data analytics and machine learning products.
Previous Work: As a Director at the Climate Corporation, I led a team of data scientists (statisticians, engineers, meteorologists) who build probabilistic estimates of past, current and future weather. Before that, I was a Senior Research Scientist at CIMMS/U. Oklahoma/National Severe Storms Laboratory. My Google Scholar page captures the ways in which that work is used by other scientists.
Books: My O'Reilly books on Machine Learning Design Patterns, BigQuery: The Definitive Guide and Data Science on Google Cloud Platform are available from Amazon. My earlier book on Automating the Analysis of Spatial Grids can be read online and ordered from Springer's website.
Teaching: I led the development of data analysis and machine learning courses for Google Cloud Platform and taught several of the Data & ML courses on Coursera. Course slides on Spatial Programming and GIS (Fall 2013) and Automated Analysis of Spatial Grids (Spring 2011/2013) are online.
Software: I designed and built much of the Warning Decision Support System Integrated Information (WDSS-II). The sample code that goes with my books (ml-design-patterns, bigquery-oreilly-book, data-science-on-gcp, and analysis-of-spatial-grids) is open-source and available from GitHub.
Leadership: I lead the Analytics & AI solutions team and co-founded the Advanced Solutions Lab at Google Cloud, led the meteorology science team at the Climate Corporation, have advised numerous graduate students, and chaired the AI Science and Technology Advisory Committee at the American Meteorological Society. I have helped organize two Climate Informatics conferences, two Kaggle contests and multiple sessions at American Meteorology Society and IEEE conferences.
Social: My technical blog and my bridge blog. You can follow me on Twitter (@lak_gcp), and connect with me on LinkedIn.
Previous Work: As a Director at the Climate Corporation, I led a team of data scientists (statisticians, engineers, meteorologists) who build probabilistic estimates of past, current and future weather. Before that, I was a Senior Research Scientist at CIMMS/U. Oklahoma/National Severe Storms Laboratory. My Google Scholar page captures the ways in which that work is used by other scientists.
Books: My O'Reilly books on Machine Learning Design Patterns, BigQuery: The Definitive Guide and Data Science on Google Cloud Platform are available from Amazon. My earlier book on Automating the Analysis of Spatial Grids can be read online and ordered from Springer's website.
Teaching: I led the development of data analysis and machine learning courses for Google Cloud Platform and taught several of the Data & ML courses on Coursera. Course slides on Spatial Programming and GIS (Fall 2013) and Automated Analysis of Spatial Grids (Spring 2011/2013) are online.
Software: I designed and built much of the Warning Decision Support System Integrated Information (WDSS-II). The sample code that goes with my books (ml-design-patterns, bigquery-oreilly-book, data-science-on-gcp, and analysis-of-spatial-grids) is open-source and available from GitHub.
Leadership: I lead the Analytics & AI solutions team and co-founded the Advanced Solutions Lab at Google Cloud, led the meteorology science team at the Climate Corporation, have advised numerous graduate students, and chaired the AI Science and Technology Advisory Committee at the American Meteorological Society. I have helped organize two Climate Informatics conferences, two Kaggle contests and multiple sessions at American Meteorology Society and IEEE conferences.
Social: My technical blog and my bridge blog. You can follow me on Twitter (@lak_gcp), and connect with me on LinkedIn.
