Ben Taylor has over 16 years of machine learning experience. After studying chemical engineering, Taylor joined Intel and Micron and worked in their photolithography, process control, and yield prediction groups. Pursuing his love for high-performance computing (HPC) and predictive modeling, Taylor joined an artificial intelligence hedge fund (AIQ) as their HPC/AI expert and built out models using a 600 GPU cluster to predict stock movements based on the news. Taylor then joined a young HR startup called HireVue. Taylor built out their data science group, filed 7 patents, and helped to launch HireVue’s AI insights product using video/audio from candidate interviews. That work allowed Taylor’s team of PhD physicists to help pioneer anti-bias mitigation strategies for AI. In 2017 Taylor co-founded Zeff.ai with David Gonzalez to pursue deep learning for image, audio, video, and text for the enterprise. Zeff was acquired by DataRobot.

Alicia Frame is the lead product manager for data science at Neo4j. She’s spent the last year translating input from customers, early adopters, and the community into the first truly enterprise product for doing data science with graphs: Neo4j’s Graph Data Science Library. She has a Ph.D. in computational biology from UNC Chapel Hill, and her background is in data science applications in healthcare and life sciences.

She’s worked in academia, government, and the private sector to leverage graph techniques for drug discovery, molecular optimization, and risk assessments — and is super excited to be making it possible for anyone to use advanced graph techniques with Neo4j.

Dr. Denis Bauer is an internationally recognised expert in artificial intelligence, who is passionate about improving health by understanding the secrets in our genome using cloud-computing technology. She is CSIRO’s Principal Research Scientist in transformational bioinformatics and adjunct associate professor at Macquarie University. She keynotes international IT, LifeScience and Medical conferences and is an AWS Data Hero, determined to bridge the gap between academe and industry. To date, she has attracted more than $31M to further health research and digital applications. Her achievements include developing open-source bioinformatics software to detect new disease genes and developing computational tools to track, monitor and diagnose emerging diseases, such as COVID-19.