David Geisler is a Data Science Software Engineer with a background in computer science. David has experience in building data pipelines for decarbonizing the real estate industry and identifying fraud and anomalies in large-scale data streams. David's research background includes machine-learning and developing real-time adaptive algorithms in various industries such as automotive and medical devices. David holds a PhD and MS in Computer Science, as well as a BS in Computer Science.
January, 2023 - present
Research Project Director Atlas|aai at The University of Kansas
Sr. Director, Power And Electrical Engineering at JUUL Labs
VP Of Engineering - Core Productivity at GitHub
Group Vice President, North America Cloud Infrastructure Sales, Services & Hospitality at Oracle
Data Lead at Cloverleaf
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