H2O World 2017

Arno Candel, is the Chief Technology Officer of H2O, a distributed and scalable open-source machine learning platform. He is also the main author of H2O’s Deep Learning. Before joining H2O, Arno was a founding Senior MTS at Skytree where he designed and implemented high-performance machine learning algorithms. He has over a decade of experience in HPC with C++/MPI and had access to the world’s largest supercomputers as a Staff Scientist at SLAC National Accelerator Laboratory where he participated in US DOE scientific computing initiatives and collaborated with CERN on next-generation particle accelerators. Arno holds a PhD and Masters summa cum laude in Physics from ETH Zurich, Switzerland. He has authored dozens of scientific papers and is a sought-after conference speaker. Arno was named “2014 Big Data All-Star” by Fortune Magazine. Follow him on Twitter: @ArnoCandel.

Enjoy the slides: https://www.slideshare.net/0xdata/driverless-ai-introduction-and-a-look-under-the-hood-handson-lab-arno-candel-cto-h2oai

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Erin is a Statistician and Machine Learning Scientist at H2O.ai. She is the main author of H2O Ensemble. Before joining H2O, she was the Principal Data Scientist at Wise.io and Marvin Mobile Security (acquired by Veracode in 2012) and the founder of DataScientific, Inc. Erin received her Ph.D. in Biostatistics with a Designated Emphasis in Computational Science and Engineering from University of California, Berkeley. Her research focuses on ensemble machine learning, learning from imbalanced binary-outcome data, influence curve based variance estimation and statistical computing. She also holds a B.S. and M.A. in Mathematics.

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Sanjay Joshi is the Chief of Technology, Healthcare and Life Sciences at H2O.ai. Based in Seattle, Sanjay’s 25+ year career has spanned the entire gamut of life-sciences and healthcare from clinical and biotechnology research to healthcare informatics to medical devices. A “skunkworks” engineer, bioengineer and informaticist, he defines himself as a “non-reductionist” with a “systems view of the world.” His current focus is a systems-level understanding of Healthcare, Genomics, Proteomics, Microbiomics, Imaging and IoT processes. Recent experience has included data management and instruments for Electronic Medical Records; Proteomics and Flow Cytometry; FDA and HIPAA validations; Lab Information Management Systems (LIMS); Translational Genomics research and Imaging. Sanjay holds a patent in multi-dimensional flow cytometry analytics. He began his career developing and building X-Ray machines. Sanjay was the recipient of a National Institutes of Health (NIH) Small Business Innovation Research (SBIR) grant and has been a consultant or co-Principal-Investigator on several NIH grants. He is actively involved in non-profit biotech networking and educational organizations in the Seattle area and beyond. Sanjay holds a Master of Biomedical Engineering from the University of New South Wales, Sydney and a Bachelor of Instrumentation Technology from Bangalore University. He has completed several medical school and PhD level courses (in Sydney and Seattle). He likes to balance his fuzzy, neural-network achievements with maker-projects that actually involve physical effort.

Enjoy the slides: https://www.slideshare.net/0xdata/a-2017-retrospective-on-ai-in-healthcare-and-life-sciences-data-algorithms-and-infrastructures

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Change Healthcare is a leader in Artificial Intelligence solutions built at scale across one of the world's largest healthcare datasets.  We deploy production jobs using H2O, Spark, and EMR, all while maintaining the highest levels of HIPAA security and compliance.  In this talk, we'll highlight one of our use cases on identifying erroneous payments to hospital systems and how we boosted a business using H2O, Sparkling Water, and AutoML while engaging the team at H2O to solve encryption of PHI.  We'll also discuss our strategy as we turn our attention to medical records using GPU's and H2O's Deep Water package.


Watch the video: https://youtu.be/XaJdtCosaS8

Jennie Shin is the Director of SCAL Strategic Technology Solutions at Kaiser Permanente. Jennie is a Healthcare IT leader focused on aligning business strategy with leadership, organizational, technology and culture needs to transform the way care is delivered. She has experience with designing and orchestrating various solutions and processes to increase efficiency, access to data and improve customer experiences and create a personalized care model that delivers the right care at the right time.

Joanne Shin is currently a Data Scientist at Kaiser Permanente. From 2013 to 2015, Ms. Shin's passion for technology and analytics led her to pursue a Master of Science degree in Artificial Intelligence under the Electrical Engineering department at UC San Diego; a discipline that focuses on statistical learning. While in graduate school she interned for Kaiser Permanente and worked as a research assistant in the Neural Interaction Lab under the guidance of Professor Todd Coleman.

Charles Bach is a Principal Architect for Kaiser Permanente serving the Southern California region. Being an integrated provider, Kaiser Permanente has the unique advantage of caring for patients throughout the many touch points of healthcare. However, with this advantage, enormous amounts of data are generated at every touch point along the patient life cycle. In order to derive meaningful information from this complex data environment, Charles designs and provides architecture for data management and analytics solutions. Charles also conducts rapid proof of concepts on new and emerging technologies that can rise to the challenge of a changing healthcare landscape that not only includes growing patient volumes but also new patient touch points such as social and medical devices.

Karen Hayrapetyan is a senior data scientist at H2O.ai. Karen works with H2O.ai customers to derive substantive business value from machine learning technologies. Prior to joining H2O.ai, he spent three years at startups working on growth and analytics problems. Karen holds a Ph.D. in Physics from Purdue University with research focus in molecular imaging and nanoparticle biosensors.

Enjoy the video: https://youtu.be/sdNrxgAdB94

Sumit Gupta is a Vice President in the IBM Cognitive systems business, responsible for offering (product) and business management for High Performance Computing (HPC), AI, and Machine and Deep Learning. With over 20 years of experience, Sumit is a recognized industry expert in the fields of HPC, deep learning, and data analytics. Sumit conceived and leads the development of IBM’s PowerAI deep learning software offering. 

Sumit joined IBM in 2015 from NVIDIA, where he was the General Manager for the Tesla GPU accelerator business. He was central in building this startup business within NVIDIA from zero to a several hundred million dollar business and in building its large developer ecosystem and deep learning strategy. Sumit is a product management, marketing, and business leader for enterprise systems and software products. He has previously held positions in marketing, business strategy, and engineering at Tensilica, Tallwood Venture Capital, Intel, S3, and IBM. Sumit has a Ph.D. in Computer Science from the University of California, Irvine, and a Bachelor of Technology in Electrical Engineering from the Indian Institute of Technology, Delhi. He has authored one book, one patent, several book chapters and more than 20 technical publications.

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Megan is a Customer Data Scientist at H2O. Prior to working at H2O, she worked as a Data Scientist building products driven by machine learning for B2B customers. She has experience working with customers across multiple industries, identifying common problems, and designing robust and automated solutions. Megan is based in New York City and holds a degree in Applied Mathematics. In her free time, she enjoys hiking and yoga.

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Leland Wilkinson is Chief Scientist at H2O and Adjunct Professor of Computer Science at the University of Illinois Chicago. He received an A.B. degree from Harvard in 1966, an S.T.B. degree from Harvard Divinity School in 1969, and a Ph.D. from Yale in 1975. Wilkinson wrote the SYSTAT statistical package and founded SYSTAT Inc. in 1984. After the company grew to 50 employees, he sold SYSTAT to SPSS in 1994 and worked there for ten years on research and development of visualization systems. Wilkinson subsequently worked at Skytree and Tableau before joining H2O. Wilkinson is a Fellow of the American Statistical Association, an elected member of the International Statistical Institute, and a Fellow of the American Association for the Advancement of Science. He has won best speaker award at the National Computer Graphics Association and the Youden prize for best expository paper in the statistics journal Technometrics. He has served on the Committee on Applied and Theoretical Statistics of the National Research Council and is a member of the Boards of the National Institute of Statistical Sciences (NISS) and the Institute for Pure and Applied Mathematics (IPAM). In addition to authoring journal articles, the original SYSTAT computer program and manuals, and patents in visualization and distributed analytic computing, Wilkinson is the author (with Grant Blank and Chris Gruber) of Desktop Data Analysis with SYSTAT. He is also the author of The Grammar of Graphics, the foundation for several commercial and open­source visualization systems (IBM­RAVE, Tableau, R­ggplot2, and Python­Bokeh).

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Jakub finished his bachelors degree in computer science at Charles University in Prague, and is currently finishing his master’s in software engineering as well. As a bachelors thesis, Kuba wrote a small platform for distributed computing of tasks of any type. On his current masters studies he’s developing a cluster monitoring tool for JVM based languages which should make debugging and reasoning about performance of distributed systems easier using a concept called distributed stack traces. Kuba enjoys dealing with problems and learning new programming languages, functional ones at most in the last days. At H2O, Kuba mostly works on our Sparkling Water project.

Aside from programming, Kuba enjoys exploring new cultures and bouldering. He’s also a big fan of tea preparation and associated ceremony.

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Patrick Hall is a senior director for data science products at H2o.ai where he focuses mainly on model interpretability. Patrick is also currently an adjunct professor in the Department of Decision Sciences at George Washington University, where he teaches graduate classes in data mining and machine learning. Prior to joining H2o.ai, Patrick held global customer facing roles and R & D research roles at SAS Institute. He holds multiple patents in automated market segmentation using clustering and deep neural networks. Patrick was the 11th person worldwide to become a Cloudera certified data scientist. He studied computational chemistry at the University of Illinois before graduating from the Institute for Advanced Analytics at North Carolina State University.

Navdeep is a Software Engineer/Data Scientist at H2O.ai. He graduated from California State University, East Bay with a M.S. degree in Computational Statistics, B.S. in Statistics, and a B.A. in Psychology (minor in Mathematics). During his education he gained interests in machine learning, time series analysis, statistical computing, data mining, & data visualization. Previous to H2O.ai he worked at Cisco Systems, Inc. focusing on data science & software development. Before stepping into industry he worked in various Neuroscience labs as a researcher/analyst. These labs were at institutions such as California State University, East Bay, University of California, San Francisco, and Smith Kettlewell Eye Research Institute. His work across these labs varied from behavioral, electrophysiology, and functional magnetic resonance imaging research. In his spare time Navdeep enjoys watching documentaries, reading (mostly non-fiction or academic), and working out.

Mark Chan is a hacker at H2O. He was previously in the finance world as a quantitative research developer at Thomson Reuters and Nipun Capital. He also worked as a data scientist at an IoT startup, where he built a web based machine learning platform and developed predictive models. Mark has a MS Financial Engineering from UCLA and a BS Computer Engineering from University of Illinois Urbana-Champaign. In his spare time Mark likes competing on Kaggle and cycling.

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Jonathan C. McKinney is the research director at H2O.ai.  He was a professor in physics at the University of Maryland at College Park where he created new numerical models, algorithms, and code to simulate astrophysical plasmas and black holes to test Einstein's theories.  He used machine learning through-out his research, and now applies himself at H2O.ai to develop its latest machine learning algorithms on GPUs.  He also contributes to other projects like DriverlessAI.  In his free time he goes mountain climbing (e.g. Uhuru peak on Kilimanjaro), hiking, biking, and spending time with his family.

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We'll explore how AI is transforming many industries including automotive, energy, healthcare and insurance.

This panel will be moderated by Rosalie Bartlett, Director of Community and Content Management at H2O.ai. She's excited to be joined by four fantastic panelists:
- Devon Bernard, VP Engineering, Enlitic
- Jitender Aswani, VP Products, Design and Analytics, Kespry
- Todd Mostak, CEO, MapD
- William Merchan, CSO, DataScience.com

Enjoy the video: https://youtu.be/TZuR4LBEFxE