Adam Gibson is an entrepreneur and computer scientist. He co-founded the artificial intelligence/machine learning company Skymind.io and the open source frameworks Deeplearning4j and ND4J, or n-dimensional arrays for Java. He is also advisor to the data science master's program at GalvanizeU in San Francisco.

Director of Corporate Strategy, Grab, and Regional Head, GrabHitch, for Singapore, Kuala Lumpur (Malaysia) and Jakarta (Indonesia)

Chris is a regular speaker at many conferences and Meetups throughout the world. He’s also an Apache Spark Contributor, Netflix Open Source Committer, and Founder of the Global Advanced Spark and TensorFlow Meetup, and Author of the upcoming O'Reilly Video Series on Deploying and Scaling Distributed TensorFlow in Production. Previously, Chris was a Distributed Systems Engineer at Netflix, Data Solutions Engineer at Databricks, and a Founding Member of the IBM Spark Technology Center.

Prior to Salesforce, Vitaly was a data science lead at LinkedIn, founded the data science team at LivePerson and worked in the elite 8200 unit, leading a team of researchers in developing algorithms to fight terrorism. His contributions have been recognized through a number of awards including the “Life Source” award, an award given each year deemed most high-impact in saving lives. Vitaly holds a B.Sc in Computer Science and an MBA from the Israeli Institute of Technology.

Mike serves as Takt Chief Data Science Officer, is part of the UC Berkeley iSchool DS faculty, and sits as DS advisor for several Machine Learning projects including Corvana, Skymind/DL4J, and InterTrust. Mike has led several teams of Data Scientists in the bay area as Chief Data Scientist for InterTrust, Director of Data Sciences for MetaScale/Sears, and Chief Science Officer for Galvanize where he oversaw Galvanize’s transformation into the premier Data Science immersive education institution and founded the galvanizeU-UNH accredited MS in DS degree.

He has worked as a Senior Scientist and Manager within the Ranking and Management Team at Powerset, Inc., a natural language search technology company later acquired by Microsoft, and also led the Search Relevance Team for Yahoo! Japan. He graduated from Stanford University with a BS in Mathematics and a MS in Computer Science.

Caltech - Astrostats - PhD supercomputing. Now data labs @stitchfix coding up word2vec, Gaussian Processes, t-SNE, tensors, Factorization Machines, RNNs, & VI

Stephen Merity is a senior research scientist at MetaMind, part of Salesforce Research, where he works on researching and implementing deep learning models for vision and text, with a focus on memory networks and neural attention mechanisms for computer vision and natural language processing tasks.

Sara is a Director of Product Management for Salesforce Einstein, where she creates products that let people build smarter applications with Salesforce and advanced AI. Prior to Salesforce, Sara worked at Alpine Data where she was chief product manager and founding director of Alpine Labs. Sara holds an AB in mathematics from Princeton University and a PhD in mathematics from Northwestern University.

Dr. Arno Candel is the CTO at H2O.ai, the makers of the distributed and scalable open-source machine-learning platform H2O. Arno is also the main author of H2O’s Deep Learning and key contributor to H2O's GBM and DRF algorithms. Arno spent the last 5+ years designing and implementing high-performance machine-learning algorithms.

Dan is the Director of Machine Learning at Arterys, a startup focused on streamlining the practice of medical image interpretation and post-processing. After receiving a PhD in Electrical Engineering from Stanford, he stuck around for a postdoc, focusing on using machine learning to predict outcomes and disease characteristics in cancer patients.

Joel Horwitz is the Vice President, Ecosystem and Partnership Development, IBM. He graduated from the University of Washington in Seattle with a Masters in Nanotechnology with a focus in Molecular Electronics. He also hails from the University of Pittsburgh with an International MBA in Product Marketing and Financial Management.

I am a serial Intrepreneur with a number of very successful projects to my credit. My responsibility is to push frontiers of technology to create next generation products in the area of Big Data, Data Analytics and Data Science. A technologist at heart, I focus on value creation using technology rather than technology itself.

Feynman is the engineering manager at Gigster and a statistics PhD student at UC Berkeley. His research lies at the intersection between industry and academia, focusing on distributed machine learning and practical systems for deploying machine learning in production. He is a contributor to Apache Spark and a recreational producer of electronic music.

Michael Ludden is the IBM Watson Developer Labs Program Director and Senior Product Manager. Previously, Michael was Lead Developer Marketing Manager at Google, Head of Developer Marketing at Samsung, a Developer Evangelist at HTC, Global Director of Developer Relations at startups Quixey & Nexmo, and was involved at various times in development, product marketing, co-founding startups, tech show hosting, and even cruise-ship singing (don’t ask).

Eduardo Arino de la Rubia is Chief Data Scientist at Domino Data Lab. Eduardo is a lifelong technologist with a passion for data science who thrives on effectively communicating data-driven insights throughout an organization. He is a graduate of the MTSU Computer Science department, General Assembly’s Data Science program, and the Johns Hopkins Coursera Data Science specialization.