Who spoke at Graph Day SF 2017?

Keynote: Marko Rodriguez (Santa Fe) @twarko

Dr. Marko A. Rodriguez (Linkedin) serves as a Director of Engineering at DataStax on DSE Graph as well as a member of the Project Management Committee at Apache TinkerPop working primarily on the Gremlin graph traversal machine and language. Marko has focused his academic and commercial career on graph theory, network science, and graph-system architecture and development. He 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.
Marko Rodriguez will give the keynote presentation: Open Problems in the Universal Graph Theory.

Gargi Adhav (SF Bay)

Gargi Adhav (Linkedin) runs the Data & Graph Engineering team at Drawbridge. She brings in over 15 years of technical expertise in Telecom Networks, Data Platforms and Analytics. Prior to this she was the Director of Analytics at Cisco Systems, where she was responsible for over $150 Million of business and led the ground-up development of a cutting edge Analytics Platform for IoT, Cloud, Fog & Edge Analytics. It handled Real-time streaming, Graph Analytics and a Data Governance framework that secured Cisco’s critical customer data in it’s complex Data economy.
In the past, she was the Founder/CEO of a Location-based Analytics startup and built a Mobile Social Recommendation Platform. Her startup won the Grand Prize at a CAPE (California Program for Entrepreneurship) Business Plan competition among 500 startups.
Gargi has authored 26 patent submissions and 16+ Internet (IETF) drafts.
Gargi Adhav will co-present the following session: Cross-Device Pairing with Apache Giraph.

Ryan Boyd (SF Bay)

Ryan Boyd (Linkedin) is a SF-based software engineer focused on helping developers understand the power of graph databases. Previously he was a product manager for architectural software, built applications and web hosting environments for higher education, and worked in developer relations for twenty products during his 8 years at Google. He enjoys cycling, sailing, skydiving, and many other adventures when not in front of his computer.
Ryan will present the following session: openCypher on the march: Composing graph queries, powerful path patterns and SQL integration.

Jason Chin (SFBay) @infoecho

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.

Yu Gan (SF Bay)

Yu Gan is a senior algorithm Engineer at Drawbridge. He developed various graph algorithms using Giraph framework as the core Engine of delivering Drawbridges’ cross-device user graph product. Prior to Drawbridge, he worked in platform infrastructure Engineering at Google.
Yu Gan will be co-presenting the following session: Comparing Giraph and GraphX

Luca Garulli (London, UK) @lgarulli

Luca Garulli is the CEO and Founder of OrientDB, and the original author of OrientDB. Luca started working with storage algorithms in 1998 and created the first production-ready version of OrientDB in early 2010 after 17 years of experience working with other DBMSs. Luca is a member of the Sun Microsystems JDO 1.0 and 2.0 Expert Groups that wrote the JDO standard. He has also published various tech articles in Technet, Computer Programming, IoProgrammer, and Week.it magazines.
Luca will be presenting the following session: Scale Out Your Graph Across Servers and Clouds with OrientDB

Dr. Denise Koessler Gosnell (Charleston) @DeniseKGosnell

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.
Dr. Gosnell will be presenting the following session: Mimblewimble Transaction Graph Design

Michael Grove (Washington, DC) @mikegrovesoft

Michael Grove is VP of Engineering and co-founder of Stardog where he oversees the development of the Stardog Knowledge Graph Platform. Michael studied Computer Science at the University of Maryland and is an alumnus of its well-regarded MIND Lab which specialized in semantic technologies. Before Stardog, he worked at Fujitsu Resarch on the use of graphs and semantic technologies in pervasive computing environments. Michael is an expert in large scale database and reasoning systems and has worked with graphs and graph databases for nearly fifteen years.
Michael will be presenting the following session: Knowledge Graph Platform: Going Beyond the Database

Jeremy Hanna (Austin)

Jeremy Hanna has been working with distributed systems for several years with technologies such as Apache Cassandra, Apache Hadoop, Apache Spark, and Apache Solr. More recently, he has been immersed in graph technologies. He works as a solutions architect at DataStax and has been involved with many of the deployments of DataStax Enterprise Graph.
Jeremy will be co-presenting the following session: Making Old Data New Again in the Original Social Network: real-time navigation and insights in massive family trees

Chin Huang (Washington, DC)

Chin Huang is a senior software engineer at the IBM Open Technologies. He has worked on software development, solutions integration, and performance evaluation for open source projects and internal products. He has recently joined the JanusGraph community as a contributor.
Chin will be co-presenting the following session: On-boarding with JanusGraph Performance

Anshu Jain (SF Bay Area)

Anshu Jain is the lead of AI Foundations Research at IBM Almaden Research Center. As the Principal Investigator of Knowledge Graph technology at IBM Watson, Anshu led a team of researchers and engineers to deliver multiple products including Watson Discovery Advisor on prem product and and Watson Discovery Service GA release on the IBM Watson Cloud. At IBM Research, he led major research efforts in the area of text analytics for service quality and building consumable analytics tools. He is the author of several US Patent Applications in areas of service delivery, text analytics, and user interaction, and peer reviewed papers in technical journals.
Anshu will be co-presenting the following session: Knowledge Graph in Watson Discovery

Manish Jain (Sydney, Australia) @dgraphlabs

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.
Manish will be presenting the following session: Dgraph: A native, distributed graph database

Karthik Karuppaiya (SF Bay)

Karthik Karuppaiya, leads the Data Engineering team at Ten-X. He is passionate about solving complex data engineering problems that helps business make data driven decisions. He has been working on large scale Big Data and NoSQL technology stack implementations since 2010. He is currently helping to build the next generation Data Platform for Ten-X using Hadoop, Spark and JanusGraph. Prior to Ten-X, Karthik led the Big Data Platform Engineering team at Symantec and helped build their multi peta byte scale real time and batch analytics platform that brought in 70TB of new data every day.
Karthik will be co-presenting the following session: Tinkering the Graph

Gunnar Kleemann (Berkeley / Austin)

Gunnar Kleemann is a Data Scientist with the Berkeley Data Science Group (BDSG). He is interested in how data science facilitates biological discovery and lowers the barrier to high-throughput research, particularly in small, independent labs. In addition to his work with BDSG, he is also involved in the development and implementation of technologies like the ATX Hackerspace Biology Laboratory.
Gunnar holds a PhD in Molecular Genetics from Albert Einstein College of Medicine and a Master’s in Data Science from UC Berkeley. He did post-doctoral research on the genomics of aging at Princeton University, where his research focused developing high throughput robotic assays to understand how genetic changes alter lifespan and reproductive biology.
Gunnar will be co-presenting the following session: Project Konigsburg - A Graph AI

Jaya Krishna (SF Bay)

Jaya Krishna, Founder and CEO of Tulasea, is a technologist and entrepreneur who has delivered several large scale 24/7 platforms for enterprises over the last two decades. He has evangelized Cloud and BigData adoption, driving Enterprise Transformations with business results. Jaya has advised on several Startup Initiatives across industries and geographies. Jaya founded Tulasea with the purpose to deliver technology for humanity, and has been active in bringing solutions for a self-sustaining earth and value driven life for people. His current areas of interests include IOT, Machine Learning and Cloud.
Jaya will be co-presenting the following session: Successful Techniques for a Large Distributed Database: the Comcast XNET Platform

Ravi Lingam (Denver)

Ravi Lingam is a Manager and Architect – Software Development@Comcast. Ravi has been a pioneer in driving innovative products and services at Comcast and 3M. He has a passion for adopting new technologies such as Graph, Cloud, Big Data solutions with purpose. He enjoys learning trends in AI and Robotics. He is an ardent Cricket lover and collector.
Jaya will be co-presenting the following session: Graph Story – Techniques that worked for a large distributed Graph Database

William Lyon (SFBay) @lyonwj

William Lyon is a software developer at Neo4j, the open source graph database. As an engineer on the Developer Relations team, he works primarily on integrating Neo4j with other technologies, building demo apps, helping other developers build applications with Neo4j, and writing documentation. Prior to joining Neo, William worked as a software developer for several startups in the real estate software, quantitative finance, and predictive API fields. William holds a Masters degree in Computer Science from the University of Montana. You can find him online at lyonwj.com.
William will be presenting the following session: Graphs All The Way Down: Building A Full Stack Graph Application With GraphQL and Neo4j

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 (SF Bay) @patrickmcfadin

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.
Patrick will be presenting the following session: Time for a new relation: Going from RDBMS to Graph

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 (Bryan / College Station) @joshperryman

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 co-presenting the following session: Making Old Data New Again in the Original Social Network: real-time navigation and insights in massive family trees
Josh will also be offering a Friday afternoon workshop: Hands-on Introduction to TinkerPop and the Gremlin Query Language. Registration is at Eventbrite.

Jason Plurad (Raleigh-Durham) @pluradj

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.
Jason will be presenting the following session: Start Flying with Python and Apache TinkerPop

Chris Pounds (Houston)

Chris Poundsthoroughly enjoys the process of building tools. Whether those tools be products for a customer, a script to do some simple ETL, or automation scripts to simplify developer workflows. He’s been building and deploying web applications for 10 years and recently has been focusing on the operational side of deploying and configuring the infrastructure for those applications. When Chris isn’t building things, you’ll likely find him exploring Houston with his wife and making a mess in the kitchen.
Chris will be co-presenting the following session: Tinkering the Graph

(NEW) - Haikal Pribadi (London) @ haikalpribadi

Haikal Pribadi is the Founder and CEO of GRAKN.AI, the database for AI. His interest in the field began at the Monash Intelligent Systems Lab, where he built an open source driver for the Parallax Eddie Robot which was then adopted by NASA. After which, he completed a masters degree in AI from the University of Cambridge. Haikal was also the youngest Algorithm Expert behind Quintiq’s Optimisation Technology behind some of the world’s largest supply chain systems in transportation, retail and logistics. He now works on GRAKN.AI, a distributed knowledge base with that uses machine reasoning to handle and interpret complex data. GRAKN.AI was recently awarded Product of the Year 2017 by the University of Cambridge Computer Lab..
Haikal Pribadi will be presenting the following session: A Cognitive Knowledge Base as an Enterprise Database.

Aravind Krishna R (Seattle) @arkramac

Aravind Krishna R is a Principal Program Manager with the Azure Cosmos DB team, Microsoft’s new globally distributed, multi-model database service. He is one of the team members responsible for building the new Gremlin graph APIs for Azure Cosmos DB. He has worked in various roles building databases and distributed systems, and has been with the Azure Cosmos DB team for the last 4 years. Ask Aravind any questions about Azure Cosmos DB’s graph support, global distribution, partition keys, indexing schemes, consistency levels, or application architectures via email at arramac@microsoft.com or tweet to him at @arkramac.
Aravind will be presenting the following session: Globally distributed, horizontally scalable graphs with Azure Cosmos DB

Nidhi Rajshree (SF Bay Area)

Nidhi Rajshree leads a group of developers and researchers working on Knowledge Graph, a part of Watson Discovery Services. She architected the Knowledge Graph system for Watson Discovery technologies. Prior to joining Watson, she was a researcher at IBM Research, working on various research and engineering problems related to data mining, natural language processing and analytics in the space of Service Science and Education, for which she received Research Accomplishment Award. Her efforts in this space led to some extremely novel contributions through patents and papers published in areas such as adaptive intelligent learning systems, automated corruption analysis of service designs, modeling service variability.
Nidhi will be co-presenting the following session: Knowledge Graph in Watson Discovery

Robert Schneider (San Francisco) @RD_Schneider

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.
Robert will be presenting the following session: Graph navigation via pattern matching using the new OrientDB MATCH statement

Juan Sequeda (Austin) @juansequeda

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 will be presenting two sessions:
Do I need a Graph Database? If so, what kind?
, and
Graph Query Language Task Force Update from LDBC

Harsh Thakker (Bonn, Germany) @Harsh9t

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.
Harsh Thakkar will present the following session: SPARQL querying of Graph Databases using Gremlin.

Obuli Krishnaraj Venkatesan (SF Bay)

Obuli Krishnaraj Venkatesan (Linkedin) is an Architect in Drawbridge. He likes working on large Graphs. In Drawbridge he works on graph algorithms that identify cross-device connections using Apache Giraph, Hadoop and Spark. He has been developing graph algorithms using Giraph for more than 2 years. Prior to Drawbridge he worked in Yahoo’s mobile web-search-graph.
Obuli Krishnaraj will co-present the following session: Cross-Device Pairing with Apache Giraph.

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

Yi-Hong Wang (SF Bay)

Yi-Hong Wang is a software engineer at IBM Open Technologies and Design for Performance. He has worked on various projects and programming languages, including Node.js, C/C++ and Java. Currently, he is working on the JanusGraph and Node.js communities.
Chin will be co-presenting the following session: On-boarding with JanusGraph Performance

Claudius Weinberger (Köln, Germany) @weinberger

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.
Claudius will be co-presenting the following session: The graph capabilities of a native multi-model database

Ted Wilmes @trwilmes

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.
Ted will be presenting the following session: JanusGraph: Today and Looking to the Future

Dr. Yu Xu (Redwood City)

Dr. Yu Xu is the President and founder of GraphSQL. He received his Ph.D in Computer Science and Engineering from UC San Diego. He is an expert in Big Data and Parallel Database Systems. He has 26 patents in parallel data management and optimization. He worked on Twitter’s data infrastructure and analytics for massive data analytics in Twitter. Before Twitter, as Teradata’s Hadoop architect and team leader, he led Teradata’s initiatives in Big Data.
Dr. Xu will be presenting the following session: GraphSQL - A Game Changer: A Complete High Performance Graph Data & Analytics Platform

Junseok Yang

Junseok Yang is a senior research engineer at Bitnine. He has worked on graph database development for a year. Previous to Bitnine, he had experience with developing clustered volume manager based on RDBMS, distributed RDBMS, and network manager for clustered file system and distributed file system. In his spare time, he enjoys to play computer games and study web technologies.
Junseok will be presenting the following session: Propel your performance: AgensGraph, the multi-model database

Jun (Terry) Yang

Terry (Jun) Yang is a software engineer in IBM's IBM Open Platform for Apache Hadoop and Apache Spark team, and lead team on Graph DB integration and development. He has decades of software research and development experience in big data open source platform, data analysis, data security, data governance, and middleware.

Jenny Zhao (SF Bay)

Jenny Zhao is passionate about building graph solutions at very large scales. She leads the core graph team at Drawbridge, one of the largest cross-device graph providers in the advertising industry. Prior to Drawbridge, she worked extensively on different big data graph technologies at Oracle, Datalogix and Acxiom.
Jenny will be co-presenting the following session: Comparing Giraph and GraphX

Marko Rodriguez, at the first Graph Day in Austin Tx, speaking on Quantum Processes in Graph Computing