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H2O World 2015 - FORA.tv

H2O World 2015


November 9 - 11, 2015

Speakers


  • Phillip Adkins Kaggle Master, with peak Kaggle ranking of 99th. Data scientist at Banjo. First place in epileptic seizure competition, as covered by NPR and the Washington Post.
  • Edward Agarwala Edward Agarwala is a Statistical and Decision Modeling Analyst for Progressive.
  • Spencer Aiello Spencer is a tall drink of H2O: mysterious and furry. He enjoys long bike rides in the scorching sun. He has no life beyond H2O.
  • Hussam Al-Deen Ashab Hussam is a Bioinformatician at the research and development team at Genomedx Biosciences Inc. ; A Vancouver based company working on urological cancer genomics. He is working on the design and implementation of statistical / predictive models to develop decision support systems to improve patients Healthcare and provide personalized molecular insights on the tumor of each patient.
  • Xavier Amatriain Xavier Amatriain is VP of Engineering at Quora, where he leads the team building the best source of knowledge in the Internet. With over 50 publications in different fields, Xavier is best known for his work on Machine Learning in general, and Recommender Systems in particular. Before Quora, he was Research/Engineering Director at Netflix, where he led the team building the famous Netflix Recommendation algorithms.
  • Sri Ambati Sri is co-founder and ceo of H2O (@h2oai), the builders of H2O. H2O democratizes bigdata science and makes hadoop do math for better predictions. Before H2O, Sri spent time scaling R over bigdata with researchers at Purdue and Stanford. Prior to that Sri co-founded Platfora and was the Director of Engineering at DataStax. Before that Sri was Partner & Performance engineer at java multi-core startup, Azul Systems, tinkering with the entire ecosystem of enterprise apps at scale.
  • Viral Bajaria At 6sense, Viral leads the development of 6sense’s innovative analytics and predictive platform. Everyday Viral wakes up to realize his passion of using machine learning to help find buyers that are in-market and level the playing field between marketing teams with small or big budgets.
  • Vishal Bamba Vishal Bamba is the current VP of Strategy & Architecture at Transamerica. Prior to becoming VP, Vshal was the Chief Architect and Director of Enterprise Architecture at Transamerica for 12 years. Vishal led teams in implementing cutting-edge big data and machine learning platforms, as well as crafting a strategy to optimize these new tools.
  • Vas Bhandarkar Vasudev (Vas) Bhandarkar is an entrepreneur who has helped build several businesses, including two companies using AI technologies, Remedy Corporation and Selectica (where he was cofounder). Vasudev's abiding interest is in helping Consumer-Facing businesses use best of breed open source technologies in predictive analytics to build the most stable, precise models to solve some of the hardest problems facing business today.
  • Julian Bharadwaj Julian Bharadwaj is a Data Scientist at PayPal in the Analytics Centre of Excellence. He has been in PayPal for 3 years and before that, in the travel industry for over a decade doing everything from software development to consulting but, always looking to the data to solve problems. His current interest is in customer lifecycle, specifically, customer churn as applied in the eCommerce world.
  • Jishnu Bhattacharjee Jishnu brings to Nexus several years of operating and investing expertise in hi-technology start-ups. He has invested in technology, internet and technology enabled services companies and is interested in a wide range of start-ups. Jishnu is currently on the boards of Vdopia, Druva, GenWi, helpshift, Unmetric, Oxdata, Elasticbox, Biz2Credit and observes the board of Kaltura. His investments also include Cloud.com (acquired by Citrix) and Gluster (acquired by Red Hat).
  • Nikhil Bojja Nikhil Bojja is Director of Machine Learning & NLP for Machine Zone.
  • Stephen Boyd Stephen P. Boyd is the Samsung Professor of Engineering, and Professor of Electrical Engineering in the Information Systems Laboratory at Stanford University. He has courtesy appointments in the Department of Management Science and Engineering and the Department of Computer Science, and is member of the Institute for Computational and Mathematical Engineering. His current research focus is on convex optimization applications in control, signal processing, and circuit design.
  • Arno Candel Arno is the Chief Architect 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.
  • Cliff Click Cliff Click is the CTO and Co-Founder of H2O, makers of H2O, the opensource math and machine learning engine for Big Data. Cliff wrote his first compiler when he was 15 (Pascal to TRS Z-80!), although Cliff’s most famous compiler is the HotSpot Server Compiler (the Sea of Nodes IR). Cliff helped Azul Systems build an 864 core pure-Java mainframe that keeps GC pauses on 500Gb heaps to under 10ms, and worked on all aspects of that JVM.
  • Pawan Divakarla Pawan Divakarla is Data and Analytics Business Leader at Progressive Casualty Insurance Company.
  • Maria Dumanis Maria Dumanis is a Data Engineer and Account Manager at Keen IO, a platform that delivers fast and flexible data analytics. Her main focus has been to understand customers' business needs and figure out the best way they can be more data driven in their decision making. She strives to make her customers and team members happy and informed!
  • Brian Durkin Brian Durkin is an innovation strategist in Progressive's Enterprise Architecture Organization. Throughout his eleven years at Progressive he has played many roles, ranging from application developer to enterprise architecture consultant; the common thread being a passion for making data more useful. He is currently part of the product research and development team focusing on geospatial analytics for usage based insurance where he uses technology to power data exploration, ideation, and rapid hypothesis testing on big datasets.
  • Taposh Dutta Roy Technical executive and advisor with a passion for turning data into actionable insights, meaningful stories and awesome products. I have a unique combination of product, technology and strategy consulting, data science and start-up experience. I am a consumer focused, machine learning and data science geek.
  • Anqi Fu Anqi is a math hacker at H2O, where she implements and tests distributed machine learning algorithms. Anqi worked on network security algorithms with the founder of RioRey, and spent summers conducting physics research at the Naval Research Laboratory and NIST. Anqi holds Master's degrees in Statistics and Economics from Stanford University, and a Bachelor's in Electrical Engineering from the University of Maryland, College Park.
  • Richard Garris Richard Garris is an experienced manager and Senior Solutions Architect who has led business and technology projects for both small startups and Fortune 500 enterprises. His most recent experience is delivering data science solutions using Apache Spark at Databricks.
  • Brendan Herger Brendan Herger is a Data Scientist, helping to bring large scale machine learning to Capital One.
  • Joel Horwitz Joel Horwitz is the WW Director of Marketing for the IBM Analytics Platform. 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.
  • Erik Huddleston Erik Huddleston is the CEO of TrendKite. Prior to TrendKite he was VP Product at Sprinklr. Erik is passionate about the transformational potential of social and big data for the world’s largest brands. Erik previously served as Chief Technology Officer at Inovis and drove the vision, development, and evangelism for their cloud integration, analytics, and social supply chain offering. 
  • Sergei Izrailev Dr. Sergei Izrailev is SVP, Data Science at Integral Ad Science, where he is focusing on advancing Integral’s media quality measurement and programmatic advertising product offerings, as well as developing and scaling the data science team, which is one of the largest among similar size companies.
  • Conor Jensen Conor Jensen is the Analytics Program Director for Zurich North America’s Predictive Analytics unit. He led the implementation of a new data infrastructure in addition to building the new team and refining the analytic development process. Conor has spent nearly a decade working in the analytics space, both in model development and as a model user. 
  • Jason P. Jones Jason Jones, PhD is Vice President of Information, Strategy for Care Transformation. In this role, he supports patient care delivery by focusing upon building tools and capacity for organizational decision making and point of care decision support involving predictive analytics.
  • Sadik Kapadia Sadik Kapadia is a veteran of the machine learning world. In the late 1980s, early 1990s he made major contributions to the venerable HTK speech recognition toolkit which has won many DARPA trials. His recent work includes writing the production recommendations systems at Netflix which are publically acknowledged to be worth in excess of $500 million/year. In a testament to it's quality that even after 4 years of trying Netflix has not been able to improve them.
  • Tom Kraljevic Tom is VP of Engineering of Customer and Pre-Sales Engineering at H2O & key to the magic of engineering & customer happiness. A quintessential team member - Tom is an extraordinary blend of technical genius, customer focus and management by example. Before joining H2O, Tom was Co-founder & CTO at Luminix, where he and the team developed a cutting-edge offline mobile application for Salesforce users.
  • Nick Kridler Nick Kridler is a Data Scientist on the Merch Algorithms team at Stitch Fix. He develops decision aids for the merchandising team and authored Pyxley, a Python package for simple web applications. Before working in fashion, he developed remote sensing and computer vision algorithms for the defense industry. Nick has competed in several data science competitions on Kaggle. As a member of team SluiceBox, Nick won both Cornell Right Whale detection challenges.
  • Mark Landry Mark Landry is a competition data scientist and product manager at H2O. He enjoys testing ideas in Kaggle competitions, where he is ranked in the top 100 in the world (top 0.03%) and well-trained in getting quick solutions to iterate over. Most at home in SQL, he found H2O through hacking in R. Interests are multi-model architectures and helping the world make fewer models that perform worse than the mean.
  • Andrew Leamon Drew Leamon started his career at Microsoft while studying Computer Science at Princeton University. In his studies, he delved into Computer Graphics, Artificial Intelligence and Computational Neurobiology. At Microsoft, he collaborated with Microsoft Research on one of the first commercial implementations of collaborative filtering for e-commerce.
  • Erin LeDell 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.
  • Michal Malohlava Michal is a geek, developer, Java, Linux, programming languages enthusiast developing software for over 10 years. He obtained PhD from the Charles University in Prague in 2012 and post-doc at Purdue University. During his studies he was interested in construction of not only distributed but also embedded and real-time component-based systems using model-driven methods and domain-specific languages.
  • Prateem Mandal Prateem Mandal is Technical Lead Architect at MarketShare.
  • Michael Marks Michael Marks is currently a general partner at WRV II, a technology venture fund, Bigwood II, a non-technology venture fund, and Riverwood Capital, a private equity fund which invests in rapidly growing private companies in North America and in emerging markets. Previously, he was a Partner and Senior Advisor at Kohlberg Kravis Roberts & Co. in 2006 and 2007.
  • Hilary Mason Hilary Mason is the Founder of Fast Forward Labs, a machine intelligence research company, and the Data Scientist in Residence at Accel. Previously, she was the Chief Scientist at bitly where she led an team that studied attention on the internet in realtime, doing a mix of research, exploration, and engineering. Hilary also co-founded of HackNY, co-host DataGotham, and is a member of NYCResistor.
  • Mark Masterson Mark is an Application Engineer at Kenandy Inc. building the next generation of ERP in the Cloud. In his spare time he likes to abuse his Safari Books Online membership and jam on hisTelecaster (which may be considered abuse to everyone else's ears). Mark is also a very proud Dog Father.
  • Peter Nachbaur Peter Nachbaur wears several hats for Keen IO in San Francisco building Analytics as a Service and a self-governing organization. Peter focuses on scaling the data platform and internal culture. Recently he designed and built Query Caching while orchestrating Keen Family Day for everyone to bring their loved ones out for games. He strives to make products smarter and people happier. His favorite hat is a plastic viking helmet.
  • Tomas Nykodym Tomas is our resident Software Engineer. He received his Masters degree from the Czech Technical University. Tomas has worked at IBM-research and Agent-Technology Group. He has participated on several projects related to malware detection/protection funded by US Air Force. Specifically, he developed a system for modeling software behavior using compressed graphs of the system calls made on the system.
  • Michael O'Connell Michael O'Connell is Chief Data Scientist at TIBCO Software,developing analytic solutions across a number of industries including Financial Services, Energy, Life Sciences, Consumer Goods & Retail, and Telco, Media & Networks. He has been working on statistical software applications for the past 20 years, and has published more than 50 papers and several software packages on statistical methods. Michael did his Ph.D. work in Statistics at North Carolina State University and is Adjunct Professor Statistics in the department.
  • Szilard Pafka Szilard studied Physics in the 90s and has obtained a PhD by using statistical methods to investigate the risk of financial portfolios. Next he has worked in a bank quantifying and managing market risk. About a decade ago he moved to California to become the Chief Scientist of a credit card processing company doing everything data (ETL, analysis, modeling, visualization, machine learning etc).
  • John Park Kaggle Master, with peak Kaggle ranking of 24th. John is a Principal Data Scientist at Hewlett Packard Enterprise, Security Research Division. John spent his youth as a high school mathelete, and majored at EECS and Cognitive Science at UC Berkeley. After graduation, he worked in cybersecurity industry, reverse-engineering binary files and classify them into malware.
  • Rishiraj Pravahan Rishiraj Pravahan is a data scientist working for AT&T. Prior to joining AT&T. Rishiraj worked for the ATLAS experiment at CERN where he was part of the team that discovered the Higgs Boson. While at CERN, he worked on constructing, commissioning and calibrating the ATLAS detector as well as on software techniques to analyze the massive dataset from the Large Hadron Collider to search for new physics.
  • Kanishk Priyadarshi Kanishk Priyadarshi is a High-tech and Business Analytics executive based out of San Francisco and Silicon Valley. He is currently focused on Machine Learning and AI Apps for the "Intelligent Enterprise" and the "Internet of Things". He has advised companies such as eBay, Google, Zynga, HP, Cisco, and Intel on how to make better use of their data.
  • Seth Redmore eth is currently 3 for 4 in startups, including co-founding and selling a networking company to Cisco Systems. Seth was into data before it was big, and has been dealing with unstructured data problems for over ten years now. Seth is responsible for all marketing inside of Lexalytics, from arguing about taglines to filling sales' insatiable need for leads. Seth also spends lots of time processing and visualizing unstructured data to stay on the forefront of technology.
  • Chushi Ren Chushi Ren is an Engineer 3 at Engineering Analysis at Comcast NBCUniversal. He received his MSE in Robotics from University of Pennsylvania. In school, Chushi’s research interest was on applying Machine Learning models to solve Computer Vision problems such as building a gesture recognition model using Kinect with one training sample.
  • Hank Roark Hank is a Data Scientist & Hacker at H2O. Hank comes to H2O with a background turning data into products and system solutions and loves helping others find value in their data. He has a deep background in the the application domains of telematics, remote sensing, logistics, manufacturing, agriculture, and the Internet of Things.
  • Monica Rogati Monica Rogati (@mrogati) is a leader in the field of data science. She built key data products and teams at Jawbone and LinkedIn; she is now a widely recognized advisor and speaker.
  • Oleg Rogynskyy Oleg heads up marketing and growth initiatives at H2O. Prior to H2O, Oleg spent 8 years building 3 startups in natural language processing space. Prior to joining H2O, Oleg led Nstein Technologies to the acquisition by Open Text, and Semantria to the acquisition by Lexalytics.
  • Satya Satyamoorthy Satya is a veteran in Data Analytics with over fifteen years of experience handling Big Data. He was with Nielsen Company for several years before Nielsen started the JV with Catalina called Nielsen Catalina Solutions in 2008. Satya was one of the founding members and is in charge of Application development at NCSolutions.
  • Nachum Shacham Nachum Shacham is a Principal Data Scientist at PayPal where he is working on modeling and extracting business value from large transactional, behavioral, and system performance datasets. Before, he was with eBay, analyzing performance of large data platforms.
  • Manish Sharma Manish Sharma runs Business Development and Delivery at Saama. He joined Saama from CIBER, where he served as Vice President of Business Consulting, encompassing Strategic Planning, Enterprise Architecture, Change Management, Business Intelligence, Analytics, Mobility and the Healthcare vertical. In this capacity, he drove thought leadership for all of these areas.
  • Vin Sharma Vin Sharma is Director of Strategy and Product for Big Data Analytics at Intel.
  • Guocong Song Kaggle Master, with peak Kaggle ranking of 8th. Guocong has achieved 5 wins out of 10 data science competitions up to 2014. Before moving to the field of machine learning and Internet, he had been dedicated to wireless communications for a decade. He received IEEE Stephen O. Rice Prize for the best original paper in 2010, and co-authored a book titled “Energy and Spectrum Efficient Wireless Network Design” that will be published by Cambridge University Press in 2014. He holds a Ph.D. in ECE from Georgia Tech and a B.S. from Tsinghua University.
  • Rob Tibshirani Robert Tibshirani's main interests are in applied statistics, biostatistics, and data mining. He is co-author of the books Generalized Additive Models (with T. Hastie), An Introduction to the Bootstrap (with B. Efron), and Elements of Statistical Learning (with T. Hastie and J. Friedman). His current research focuses on problems in biology and genomics, medicine, and industry. With collaborator Balasubramanian Narasimhan, he also develops software packages for genomics and proteomics.
  • Xavier Tordoir Xavier started his career as a researcher in Experimental Physics and also focused on data processing. Further down the road, he took part in projects in finance, genomics and software development for academic research. During that time, he worked on timeseries, on prediction of biological molecular structures and interactions, and applied Machine Learning methodologies. He developed solutions to manage and process data distributed across data centres.
  • Madeleine Udell Madeleine Udell is a postdoctoral fellow at Caltech's Center for the Mathematics of Information, hosted by Joel Tropp. She will be joining Cornell as an Assistant Professor in the School of Operations Research and Information Engineering in July 2016. Her research focus is on modeling and solving large-scale optimization problems and on finding and exploiting structure in high dimensional data, with applications in marketing, demographic modeling, and medical informatics.
  • Amy Wang Amy is a math hacker at H2O, as well as the Sales Engineering Lead. She graduated from Hunter College in NYC with a Masters in Applied Mathematics and Statistics with a heavy concentration on numerical analysis and financial mathematics. Her interest in applicable math eventually lead her to big data and finding the appropriate mediums for data analysis.
  • Venkatesh Yadav Venkatesh Yadav (@venky7) is an innovative entrepreneurial thought leader, who is passionate about technology and entrepreneurship. He is a disciplined and driven technologist with a focus on value creation and team building. His areas of interest include Big Data, Cloud Technologies, Internet of Things and Mobile Application Development.
  • Daqing Zhao Daqing Zhao has over 20 years of experience in advanced data analytics. Trained in physical sciences, he gained extensive expertise in customer centric marketing, in optimization of all stages of customer acquisition, conversion and retention. He worked on predictive modeling for banner ads, web behavior, search keywords, 1:1 emails, customer life time values, real time recommendation engines, and others.

About this conference


H2O World is bringing together a community of H2O users, customers and experts to share their knowledge and know-how. Over the course of three days, you'll learn how to build predictive models and run machine learning algorithms in Big Data Environments. You'll also learn how use machine learning to build intelligent applications. And finally, you will hear from featured production users of H2O with their specific use cases.

About H2O


H2O is the leading open source machine learning platform for smarter applications. H2O.ai is the silicon valley software company supporting and developing H2O. Leading insurance, healthcare and financial services companies are using H2O to make smarter predictions about churn, pricing, fraud and more. H2O.ai is fostering a grassroots movement of systems engineers, data scientists, data developers and predictive analysts to move machine learning forward. A rapidly growing community of H2O users is now active in more than 5,000 companies worldwide. H2O.ai is a Gartner Cool Vendor in Data Science for 2015.

For more information, visit: http://h2o.ai/