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 part of Google Cloud Professional Services, I co-founded the Advanced Solutions Lab, pioneered several consulting practices and built out the training curriculum. As a Director at the Climate Corporation, I created and led a team of data scientists (statisticians, engineers, meteorologists) who built probabilistic estimates of past, current and future weather.
Books: My O'Reilly books on Machine Learning Design Patterns, ML for Computer Vision, BigQuery, and Data Science on GCP are available from Amazon. My earlier book on Automating the Analysis of Spatial Grids can be read online and ordered from Springer's website.
Research: 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. In 2021, I was elected a Fellow of the American Meteorological Society, the highest honor offered by the AMS.
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, practical-ml-vision-book, 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 am a Fellow of the American Meteorological Society.
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 part of Google Cloud Professional Services, I co-founded the Advanced Solutions Lab, pioneered several consulting practices and built out the training curriculum. As a Director at the Climate Corporation, I created and led a team of data scientists (statisticians, engineers, meteorologists) who built probabilistic estimates of past, current and future weather.
Books: My O'Reilly books on Machine Learning Design Patterns, ML for Computer Vision, BigQuery, and Data Science on GCP are available from Amazon. My earlier book on Automating the Analysis of Spatial Grids can be read online and ordered from Springer's website.
Research: 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. In 2021, I was elected a Fellow of the American Meteorological Society, the highest honor offered by the AMS.
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, practical-ml-vision-book, 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 am a Fellow of the American Meteorological Society.
Social: My technical blog and my bridge blog. You can follow me on Twitter (@lak_gcp), and connect with me on LinkedIn.
