Jason Chin was trained in theoretical physics in University of Washington. During the Human Genome Project, he started to get interested in DNA analysis and bioinformatics. He switched fields into bioinformatics as a postdoctoral scholar at the University of California, San Francisco. In UCSF, he studied gene regulations with microarray data. Later, he branched out from pure computational work and developed experimental methods to study real time protein expression kinetics.
Jason joined Pacific Biosciences in 2008 starting with developing bioinformatics methods and automatic analytic platform for scientists and engineers for improving the systems’ performance. Since 2013, his major work was on developing genome assembly algorithm and software for long-read data. It led to the hierarchical genome assembly process for effectively using PacBio data to assemble genomes.
The current topics Jason is focusing on include: (1) improving assembly computational performance, (2) developing algorithm for diploid genome and (3) understanding the fundamental mathematical properties in the genome assembly problem. Jason Chin will present the following session: Graphs in Genomics.
Dr. Denise Gosnell, a driving member of the PokitDok Data Science team since 2014, has brought her research in applied graph theory to help architect the graph database while also serving as an analytics thought leader. Her work with the Data Science team aims to extract insight from the trenches of hidden data in healthcare and build products to bring the industry into the 21st century. She has represented PokitDok's Data Science Team at numerous conferences including, PyData, KDD (Knowledge Discovery & Data Mining) and the inaugural GraphDay.
Prior to PokitDok, Dr. Gosnell earned her Ph.D. in Computer Science from the University of Tennessee. Her research on how our online interactions leave behind unique identifiers that form a “social fingerprint” led to presentations at major conferences from San Diego to London and drew the interest of such tech industry giants as Microsoft Research and Apple. Additionally, she was a leader in addressing the underrepresentation of women in her field and founded a branch of Sheryl Sandberg's Lean In Circles.
Manish Jain is the founder and primary author of Dgraph. He got thrust into distributed systems right out of college, working in the Web Search and Knowledge Graph infrastructure group at Google for 6.5 years. He led various projects to consolidate and serve all structured data including knowledge graph right behind web search. Manish is an avid Go user, and has spoken multiple times at Go Meetup in Sydney. Most recently, he presented at Gophercon India. Implementing GTD and Zero Waste practices, Manish is into efficient and minimalist living. He loves cycling, swimming, and ultra-light traveling.
Kisung Kim is CTO of Bitnine Global Inc. Kisung Kim is a chief architect and developer of Agens Graph, which is a new graph database based on PostgreSQL. Before joining Bitnine he worked for 5 years in Tmaxsoft for developing relational database engine in Korea.
Rob McDaniel (Seattle)
Rob McDaniel is a data scientist at LiveStories, a Seattle-based startup developing a storytelling and analysis platform for the public sector. He enjoys working on semantic text analysis, data mining and classification problems. Previously, he has developed clustering and classification models for product and job description taxonomies, created a prototype bias-detection algorithm for news articles, and built entity extraction pipelines. At LiveStories, Rob is creating a public data graph by mining semantic networks between open data on the web, and providing a platform to answer natural language queries about them on a wide variety of public issues, such as health and education. Rob will be presenting the following session: Graph-based Taxonomy Generation
Patrick McFadin (Linkedin) is regarded as one of the foremost experts of Apache Cassandra and data modeling techniques. As the Chief Evangelist for Apache Cassandra and consultant for DataStax, he has helped build some of the largest deployments in the world. Previous to DataStax, he was Chief Architect at Hobsons, an education services company. There, he spoke often on web application design and performance.
Christian Miles (Ontario, Canada)
Christian Miles is the Technical Sales Manager at Cambridge Intelligence. Since completing his Masters in Maths & Computer Science at Bristol University in the UK, Christian has specialized in graph visualization software for global enterprise deployments. In his roles at BAE Systems and the Wynyard Group, Christian's focus has been applying graph network analysis in Financial Crime, Cyber and Law Enforcement domains. Christian is a North American Sales Engineer for Cambridge Intelligence, makers of KeyLines, and is based out of Canada. Rob will be presenting the following session: Investigating patterns of human trafficking through graph visualization
Josh Perryman likes to play with data. Oftentimes this is implementing proprietary algorithms closer to the data for performance or scale. Sometimes it is ad-hoc investigation and analysis, a sort of exploratory querying. A few times he’s been able to leverage his experience with data engines for dramatic performance improvements. But the real joy is designing a schema for both functionality and performance, one which increases the productivity of other developers and enables a technology to solve new problems or deliver new value to the business.
But technology isn't just data, and he does more than just play with data. He’s worked with high performance computing (HPC) environments, taking computations from hours to minutes or seconds. He has built visualizations which deliver new insights into complex data domains. He’s managed technology personnel, both directly and indirectly, to deliver technology solutions. He’s have put together more types of technology components, software and hardware, than can be counted, because one of his fortes is solving problems by building sustainable systems. Josh Perryman will be offering a Friday afternoon workshop: Hands-on Introduction to Tinkerpop and the Gremlin Query Language. Registration is at Eventbrite.
Jason Plurad is a software developer on IBM's Open Technologies team. He is a committer on Apache TinkerPop, an open source graph computing framework. Jason engages in full stack development (including front end, web tier, NoSQL databases, and big data analytics) and promotes adoption of open source technologies into enterprise applications, service, and solutions. He has spoken previously at IBM conferences (Innovate, Insight) and Triangle Hadoop Users Group meetups.
Dr. Marko A. Rodriguez (Linkedin) serves as a Director of Engineering at DataStax as well as a member of the Project Management Committee at Apache TinkerPop. Prior to joining DataStax, Marko was co-founder of Aurelius, LLC, the company behind the Titan graph database. Marko has focused his academic and commercial career on graph theory, network science, and graph-system architecture and development. With Apache TinkerPop, he serves as the primary developer of the Gremlin graph traversal language. Marko received his Bachelors in Cognitive Science from UC San Diego, his Masters and Ph.D. in Computer Science from UC Santa Cruz and was a Director’s Fellow at the Center for Nonlinear Studies of the Los Alamos National Laboratory.
Robert Schneider (Linkedin) is a Silicon Valley–based technology consultant and author, and managing partner at WiseClouds – a provider of training and professional services for NoSQL technologies and high performance APIs. He has supplied distributed computing design/testing, database optimization, and other technical expertise to Global 500 corporations and government agencies around the world. Clients have included Amazon.com, JP Morgan Chase & Co, VISA, Pearson Education, S.W.I.F.T., and the governments of the United States, Brazil, Malaysia, Mexico, Australia, and the United Kingdom.
Robert has written eight books and numerous articles on database platforms and other complex topics such as cloud computing, graph databases, business intelligence, security, and microservices. He is also a frequent organizer and presenter at major international industry events. Robert blogs at rdschneider.com.
Dr. Juan Sequeda is the co-founder of Capsenta and the developer of Ultrawrap, a system that virtualizes relational databases as graph data sources. His research interests are on the intersection of Logic and Data and in particular between the Semantic Web and Relational Databases for data integration. Juan holds a Ph.D. in Computer Science from the University of Texas at Austin. Capsenta is a spin-off from his PhD research. Juan is the recipient of the NSF Graduate Research Fellowship, Best Student Paper at the 2014 International Semantic Web Conference, and 2nd Place in the 2013 Semantic Web Challenge for his work on ConstituteProject.org. Juan is on the editorial board of the Journal of Web Semantics and has been an invited expert member and standards editor for the World Wide Web Consortium (W3C) Relational Database to RDF Graph working group. Juan Sequeda will be appearing as part of Graph Day 2017. Check out our recent interview with Juan Sequeda.
Harsh Thakkar is a Marie Skłodowska-Curie Research Fellow and a PhD candidate at the University of Bonn working on the EU-funded project WDAqua ITN. He is focused on developing an open extensible framework for benchmarking of RDF and Graph Data Management Systems (LITMUS). He is currently working on supporting SPARQL queries on top of the Apache TinkerPop Gremlin traversal language and machine which will open a new way to experience and adopt to Graph databases avoiding a steep learning curve for the Semantic Web community. His research interests are, but not limited to, Benchmarking, Formal Query Translation, Linked Open Data Quality Assessment, Information Retrieval. He is passionate about learning graph technology top to bottom and applying this knowledge for serving the open-source community. He receives constructive feedback and guidance from academia and industry experts such as Prof. Dr. Soeren Auer, Prof. Dr. Jens Lehmann, Dr. Marko Rodriguez and Prof. Dr. Maria-Esther Vidal.
(NEW) - Denis Vrdoljak (SF Bay)
Denis Vrdoljak (Co-Founder and Managing Director at the Berkeley Data Science Group (BDSG)): Denis is a Berkeley trained Data Scientist and a Certified ScrumMaster (CSM), with a background in Project Management. He has experience working with a variety of data types-- from intelligence analysis to electronics QA to business analytics. In Data Science, his passion and current focus is in Machine Learning based Predictive Analytics and Network Graph Analysis. He holds a Master's in Data Science from the UC Berkeley and a Master's in International Affairs from Texas A&M. Denis will be co-presenting the following session: Project Konigsburg - A Graph AI
Claudius Weinberger is the CEO and Co-founder of ArangoDB GmbH - the company behind identically named NoSQL multi-model database. Claudius has been a serial entrepreneur for the majority of his life. Together with his co-founder, he has been busy building databases for more than 20 years. He started with in-memory to mostly memory databases, moved to K/V stores, multi-dimensional cubes and ultimately graph databases. Throughout the years he focused mostly on product and project management, further sharpening his vision of the database market. He has co-founded ArangoDB in 2012. Claudius studied economics with business informatics as key aspect at the University of Cologne. He spends all his free time with his two little daughters, is a judo enthusiast and occasionally enjoys gardening.
Ted Wilmes is passionate about learning complex systems top to bottom and he enjoys applying this knowledge to help customers with their data architecture and performance tuning needs. Over the past few years he has been involved in the rapidly growing graph database space and is an active committer and PMC member on the Apache TinkerPop project.
Danny Wudka (SF Bay)
Danny Wudka is a healthcare data scientist with experience in Healthcare Research and Business Analytics. He is a former Fulbright Scholar at the Danish Cancer Society. He is a Senior Data Scientist at Berkeley Data Science Group (BDSG), where he is also the domain expert in Machine Learning. He has a passion for helping people through data analytics. Danny will be co-presenting the following session: Project Konigsburg - A Graph AI
Marko Rodriguez, at the first Graph Day in Austin Tx, speaking on Quantum Processes in Graph Computing
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