Who will speak at the Global Graph Summit

These are the speakers already confirmed for the Global Graph Summit. For a list of all the speakers included with your Data Day Texas ticket, visit the Data Day Texas speaker list.

Plenary Keynote
Dr. Denise Koessler Gosnell (Charleston) @DeniseKGosnell

Dr. Denise Gosnell leads a team at DataStax which builds some of the largest, distributed graph applications in the world. Her passion centers on examining, applying, and evangelizing the applications of graph data and complex graph problems. As an NSF Fellow, Dr. Gosnell earned her Ph.D. in Computer Science from the University of Tennessee. Her research coined the concept of "social fingerprinting" by applying graph algorithms to predict user identity from social media interactions.​ ​Since then, Dr. Gosnell has built, published, patented, and spoke on dozens of topics related to graph theory, graph algorithms, graph databases, and applications of graph data across all industry verticals.Dr. Gosnell will be presenting the Global Graph Summit Keynote: From Theory to Production.

Jans Aasman (SF Bay)

Jans Aasman (Wikipedia / LinkedIn) is a Ph.D. psychologist and expert in Cognitive Science - as well as CEO of Franz Inc., an early innovator in Artificial Intelligence and provider of the graph database, AllegroGraph. As both a scientist and CEO, Dr. Aasman continues to break ground in the areas of Artificial Intelligence and Knowledge Graphs as he works hand-in- hand with numerous Fortune 500 organizations as well as US and Foreign governments. Jans recently authored an IEEE article on “Enterprise Knowledge Graphs”.
Dr. Aasman spent a large part of his professional life in telecommunications research, specializing in applied Artificial Intelligence projects and intelligent user interfaces. He gathered patents in the areas of speech technology, multimodal user interaction, recommendation engines while developing precursor technology for tablets and personal assistants. He was also a professor in the Industrial Design department of the Technical University of Delft. Dr. Aasman is a noted conference speaker at such events as Smart Data, NoSQL Now, International Semantic Web Conference, GeoWeb, AAAI, Enterprise Data World, Text Analytics, and TTI Vanguard to name a few.
Dr. Aasman will co-present the following Knowledge Graph session: The Intelligent Sales Organization Runs on Speech Recognition, Knowledge Graphs and AI.

Dave Bechberger (Houston) @bechbd

Dave Bechberger is a Solution Architect in the Graph Practice at DataStax where he helps customers build large distributed graph backed applications. Prior to that he was the Chief Architect at Gene by Gene, a genetic genealogy and bioinformatics company, where he worked to migrate their legacy technology stack to modern technologies including heavy use of graph databases and Cassandra. Dave has spent his career engaging in full stack software development but specializes in building data architectures in complex data domains such as bioinformatics, oil and gas, supply chain management, etc. He uses his knowledge of graph and other big data technologies to build out highly performant and scalable systems. Dave has previously spoken at a variety of national and international technical conferences including NDC Oslo, NDC London, as well as previous GraphDay conferences in Texas, San Francisco and Seattle. Dave is author of the upcoming book from Manning publications: Graph Databases in Action.
Dave will present the following session: Intro to Graph Databases for Data Scientists.

Ryan Boyd (SF Bay) @ryguyrg

Ryan Boyd (Linkedin) is a SF-based software engineer at Neo4j 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 has been consistently one of the highest rated speakers at our conference. We're happy that he has agreed to return to Austin

Dr. Artem Chebotko (Houston) @artemchebotko

Dr. Artem Chebotko is a Solutions Architect at DataStax. His core expertise is in data modeling, data management, data mining, and data analytics. For over 15 years, he has been leading and participating in research and development projects on NoSQL, Graph, XML, Relational, and Provenance databases. He is the inventor of the Big Data Modeling Methodology for Apache Cassandra and the author of over 50 research and technical papers published in international journals and conference proceedings. He is an educator with extensive experience in both industry and academic training.
Artem will present the following graph workshop: Hands-On Introduction to Gremlin Traversals

Shannon Copeland (Atlanta)

Shannon Copeland has more than 20 years’ experience driving change and innovation in the services industry. As Chief Operating Officer of N3, Shannon is responsible for overseeing all business operations while growing the company’s profitability and cash flow. Shannon also leads N3’s innovative efforts to develop unique machine learning tools to drive operating efficiency and client results.
Before joining N3, Shannon served as a Director for Huron Consulting and as the Director of Strategy and Group COO of a global law firm leading strategy and operations throughout 18 offices in the United States, Europe, and the Middle East. Prior to that, Shannon held positions at Chevron, Deloitte, and Georgia-Pacific.
Shannon holds a bachelor’s degree in Civil Engineering from the Georgia Institute of Technology and an MBA from the Wharton School.
Shannon will co-present the following Knowledge Graph session: The Intelligent Sales Organization Runs on Speech Recognition, Knowledge Graphs and AI.

Michael Hackstein (Köln, Germany) @mchacki

Michael Hackstein is a Senior Graph Specialist @ ArangoDB Inc. He holds a Master’s degree in Computer Science and is the creator of ArangoDBs graph capabilities. During his academic career he focused on complex algorithms and especially graph databases. Michael is an internationally experienced speaker who loves salad, cake and clean code.
Michael will present the following session: A Scalable Graph Database Platform with ArangoDB on Kubernetes.

Amy Hodler (Kettle Falls, Washington) @amyhodler

Amy Hodler manages the graph analytics programs and marketing at Neo4j. She loves seeing how our ecosystem uses graph analytics to reveal structures within real-world networks and infer dynamic behavior. Amy has consistently helped teams break into new markets at startups and large companies including EDS, Microsoft and Hewlett-Packard (HP). She most recently comes from Cray Inc., where she was the analytics and artificial intelligence market manager. Amy has a love for science and art with an extreme fascination for complexity science. When the weather is good, you’re likely to find her cycling the passes in beautiful Eastern Washington.

Corey Lanum (Boston) @corey_lanum

Corey Lanum (LinkedIn), has a distinguished background in graph visualization. Over the last 15 years he has managed technical and business relationships with dozens of the largest defense and intelligence agencies in North America, in addition to working with many security and anti-fraud organizations in private industry. Prior to joining Cambridge Intelligence as their US Manager, Corey was helping the customers of i2 (now IBM) and SS8 to solve their most complex graph data challenges.
Corey is the author of Visualizing Graph Data from Manning Publications.

Chris Lu (SFBay)

Chris Lu(Linkedin / Github) is a lead engineer at Uber on building the knowledge graph, leveraging nearly twenty years of experience in big and small companies on databases, federated query, search, warehouse, and building infra for machine learning on graphs. His side projects include the SeaweedFS distributed file system, Gleam and Glow for distributed MapReduce with Golang, and DBSight for database search.
Chris will be presenting the knowledge graph session: Statistically representative graph generation and benchmarking.

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 present the following graph analytics session: Operationalizing Graph Analytics With Neo4j.

Rob McDaniel (Seattle)

Rob McDaniel is the CTO of a new company in stealth-mode. Most recently, Rob was Manager of Applied Science at Rakuten, where he managed the AI that expands the depth and quality of Rakuten's global product catalog.

Rob has a diverse background in engineering and machine learning, both with major corporations and startups. He has worked on problems related to machine translation, taxonomy classification and information extraction, and has a passion for unsupervised methods and graph theory.
Rob will present the following graph session: Practical Graph Algorithms.

Leo Meyerovich (SFBay) @lmeyerov

Leo Meyerovich founded Graphistry to supercharge visual investigations. Graphistry connects browsers to GPUs and eliminates query writing, which build on his work at UC Berkeley. His most referenced work is in language-based security. Past projects include the first functional reactive web language, first parallel web browser, GPU visual analytics, and sociological foundations of programming languages. These ideas received various research awards and are now in popular browsers and frameworks.

Benjamin Ortiz Ulloa (Washington, D.C.)

Benjamin Ortiz Ulloa is a data visualization engineer who works primarily with open source technology such as R and D3. He is an active member of Data Community DC and co-organizes the Data Visualization DC meetup. He is interested in complex systems. In particular, he is interested in urban networks and education/school systems.
Ben will present the following session: Exploring Graphs with R and igraph.

Lynn Pausic (Austin) @lynnpausic

As head of the Design team at Expero, co-principal and business strategist, Lynn Pausic takes multitasking to the next level. By combining expertise in strategy, innovation and design, Lynn brings the breadth and depth of complex problems to light and figures out how to break them down into useful, usable and manageable pieces that form a holistic experience.
Lynn’s extensive background in user experience ranges from designing user interfaces for wearable devices, to creating enterprise software solutions and mobile UIs, to innovating scenarios beyond the 2D screen. She has ever-growing expertise with timely topics such as Big Data, the Internet of Things, UI Design Pattern Libraries and High-Performance Computing, in industries as varied and diverse as Austin itself. Lynn’s recent clients are in agronomy, enterprise management, energy, biotechnology and other verticals.
Prior to founding Expero, Lynn earned a B.S. from Carnegie Mellon University and worked as a Director of Product Management, a Consulting Manager and a Director of Human-Computer Interaction (HCI). At Trilogy, she led the HCI team and established user-centered design as an integral part of the company’s software development process.
Lynn often speaks on user experience and design, including at Nielsen Norman Group conferences around the world. Lynn created the popular tutorial “Complex Applications & Websites” (which she co-presents with John Morkes). Lynn also has presented at Carnegie Mellon University’s HCI Institute, Cornell University’s Media Lab and ACM’s SIGCHI conference.
Lynn will present the following session: Moving Beyond Node Views.

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.
Technology isn't just data, and Josh 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. Josh has 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 will present the following session: And Bad Mistakes, I’ve Made a Few: Experience from the Trenches as a Graph Data Architect.

Petra Selmer (London) @Aethelraed

Dr. Petra Selmer is a member of the Query Languages Standards and Research group at Neo4j, undertaking research into graph query languages and language standards, with the aim of evolving and standardizing property graph querying. She also supports the openCypher project at www.opencypher.org, and was previously part of the team designing and optimizing Neo4j’s Cypher query engine. For many years, she worked as a consultant and developer in a variety of different domains and roles and has a PhD in Computer Science from Birkbeck, University of London, where she researched flexible querying of graph-structured data.
Dr. Selmer will present the following session: GQL: Towards a Standardized Property Graph Query Language.

Juan Sequeda (Austin) @juansequeda

Dr. Juan Sequeda is the co-founder of Capsenta, a spin-off from his research, and the Senior Director of Capsenta Labs. He holds a PhD in Computer Science from the University of Texas at Austin. His research interests are on the intersection of Logic and Data and in particular between the Semantic Web and Relational Databases for data integration, ontology based data access and semantic/graph data management. Juan is the recipient of the NSF Graduate Research Fellowship, received 2nd Place in the 2013 Semantic Web Challenge for his work on ConstituteProject.org, Best Student Research Paper at the 2014 International Semantic Web Conference and the 2015 Best Transfer and Innovation Project awarded by Institute for Applied Informatics. Juan is the General Chair of AMW 2018, was the PC chair of the ISWC 2017 In-Use track, is on the Editorial Board of the Journal of Web Semantics, member of multiple program committees (ISWC, ESWC, WWW, AAAI, IJCAI) and co-creator of the Consuming Linked Data Workshop series. Juan is a member of the Graph Query Languages task force of the Linked Data Benchmark Council (LDBC) and has also been an invited expert member and standards editor at the World Wide Web Consortium (W3C).

Joshua Shinavier (San Francisco) @joshsh

Joshua Shinavier is a primordial being of the graph database domain, and holds a PhD in Web science from RPI’s Tetherless World Constellation. He contributed to the first common APIs for graph databases, the original TinkerPop query language which influenced Gremlin, and the first tools which aligned the property graph and RDF data models, starting with neo4j-rdf-sail in 2008. Other graphy adventures have include Lisp hacking at Franz Inc. and Java hacking at Aurelius. As of 2017, he is part of the knowledge graph team at Uber, where he also leads a company-wide effort to unify schemas across RPC, streaming, and storage. He feels, now as ever, that the research, business, and open source communities have a lot to learn from each other with respect to graphs and knowledge representation.
Josh will present the following session: A Graph is a Graph is a Graph: Equivalence, Transformations, and Composition of Graph Data Models.

Gabriel Tanase (Austin) @dtomicevic

Gabriel Tanase is the Director of the Computing platform at Graphen, a novel startup that combines graph and machine learning to provide better insight into a company’s data. Prior to Graphen he was a Research Staff Member at IBM T.J. Watson Research Center where he worked on systems for large scale graph analytics and run time systems for parallel programming languages. He graduated with a PhD in Computer Science from Texas A&M University. His PhD work is on parallel data structures in the context of a C++ parallel programming library called STAPL. He received his Bachelor of Science from the Polytechnic University of Bucharest, Romania in 1999 and Master of Science from the same University in 2000. His research interests are in the area of graph databases, high performance computing, parallel programming languages and libraries, parallel algorithms and generic programming.
Gabriel will present the following session: Predicting new edges in large scale dynamic graphs.

Dominik Tomicevic (London) @dtomicevic

Dominik Tomicevic received his bachelor's degree in computer science from the University of Zagreb. Throughout the years, he has participated in various regional data science competitions and accumulated a number of awards. In 2011, he was selected as one of the 4 people in the world, to receive the Microsoft Imagine Cup Grant, awarded by Bill Gates, for developing game-changing technologies in data processing. In 2016, he founded Memgraph, a venture-backed graph database company focusing on high-performance real-time connected data processing. Memgraph is a Techstars company, backed by some of the top technology investors and entrepreneurs in the UK and the US. In 2017, Dominik was named, by Forbes, as one of the top 10 Technology CEOs in the UK to watch in 2017.

Michael Uschold (Seattle, WA ) @UscholdM

Michael Uschold, Senior Ontology Consultant at Semantic Arts, has over twenty-five years’ experience in developing and transitioning semantic technology from academia to industry. He pioneered the field of ontology engineering, co-authoring the first paper and giving the first tutorial on the topic in 1995 in the UK.
As a senior ontology consultant at Semantic Arts since October 2010, Michael trains and guides clients to better understand and leverage semantic technology using knowledge graphs. He has built commercial enterprise ontologies in digital asset management, finance, healthcare, legal research, consumer products, electrical devices, manufacturing and corporation registration. More recently he has focused on semantic application development using SPARQL for application code and R2RML for converting relational data into a knowledge graph.
During 2008-2009, Uschold worked at Reinvent on a team that developed a semantic advertising platform that substantially increased revenue. As a research scientist at Boeing from 1997-2008 he defined, led and participated in numerous projects applying semantic technology to enterprise challenges. He is a frequent invited speaker and panelist at national and international events, and serves on the editorial board of the Applied Ontology Journal. He received his Ph.D. in AI from Edinburgh University in 1991 and an MSc. from Rutgers University in Computer Science in 1982.
Michael will present the following Knowledge Graph session: Breaking Down Silos with Knowledge Graphs.

Ted Wilmes (Oklahoma City) @trwilmes

Ted Wilmes, Data Architect at Expero, is a graduate of Trinity University where he studied computer science and art history. He started his professional career at a not-for-profit research and development institution where he performed contract software development work for a variety of government and commercial clients. During this time he worked on everything from large enterprise systems to smaller, cutting edge research and development projects. One of the most rewarding parts of each of these projects was the time spent collaborating with the customer.
As Ted’s career continued, he moved on to an oil and gas startup and continued to dig deeper into the data side of software development, gaining an even deeper interest in how databases work and how to eek as much performance out of them as possible. During this time he became interested in the application of graph databases to certain problem sets. Today, at Expero, Ted enjoys putting his deep knowledge of transactional graph computing to work as he helps customers of all types navigate the burgeoning property graph database landscape.
Outside of work, Ted enjoys spending time with his family out-of-doors, listening to and playing loud music, and contributing to the Apache TinkerPop project as a committer and PMC member.
Ted will present the following session: High Performance JanusGraph Batch & Stream Loading.

Chris Wixon (Atlanta)

Chris Wixon, MD, is a practicing surgeon who holds the belief that improving the quality and efficiency of clinical information has the potential to have a profound effect on healthcare delivery, costs and overall outcomes.
Chris will present the following Knowledge Graph session: Taming of the Shrew: Using a Knowledge Graph to capture structured Health Information Data.

Dr. Mingxi Wu (Redwood City)

Dr. Mingxi Wu is the VP of Engineering at TigerGraph responsible for product development, quality assurance, and release. Mingxi excels at engineering team building and tech leadership. Previously, he worked at Ad-Tech startup Turn (acquired by Amobee), Oracle Relational Database Optimizer Group, and Microsoft SQL Server Manageability Group. He won research awards from SIGMOD, VLDB and KDD and holds patents on big data and pending patents on graph management. Mingxi received his PhD from the University of Florida, where he specialized in database and data mining.
Mingxi will present the following session: Eight Prerequisites of a Graph Query Language.