For 2017, Graph Day will be part of Data Day Texas. Purchase a ticket for Data Day, and all the Graph Day content is included. No need to buy a separate ticket. Most all the graph talks will be held in adjacent rooms within the Data Day conference, so if you're only interested in graphs, you won't have to traverse the entire building. There will be a separate Graph Lounge nearby for all the graph attendees. For a full list of Data Day Texas content, visit the Data Day Texas Speakers page and the Data Day Texas Sessions page.

Who will be speaking at Graph Day TX 2017?

Below are the speakers already confirmed for the 2nd annual Graph Day Texas. We have quite a few more speakers to announce, and will update the page as we confirm their itinerary. You can find a list of the Graph Day sessions on the sessions page.

KEYNOTE - Emil Eifrem (SF Bay) @emileifrem

Emil Eifrem (Linkedin) sketched what today is known as the property graph model on a flight to Mumbai in 2000. This sketch grew into the Neo4j project (wikipedia) which, since its initial release in 2007, has been the most known and most widely implemented graph database. Emil is not only co-founder of the Neo4j project, but also co-founder and CEO of Neo Technology - a global organization with offices in San Mateo, Sweden, UK, Germany, and France. It is safe to say that there is no greater evangelist for the graph database space than Emil, and Graph Day is honored to have him give the keynote for Graph Day TX 2017 - the year of the graph.

Dave Bechberger (Houston)

Dave Bechberger is an Architect at Expero, a custom software development company building innovative solutions for domain experts across a variety of industries, from geophysicists to supply chain planners. He has spent 2016 building graph solutions for a variety of customers, and come to know the good, the bad, and the ugly of this technology platform.
Dave Bechberger will be presenting the following session: Moving Your Data To Graph.


(NEW) - Ryan Boyd (SF Bay)

Ryan Body (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.



Arnaud De Moissac (Paris)

Arnaud De Moissac (Linkedin) is co-founder of DCbrain, an enterprise scale IoT startup, focused on delivering real time intelligence to multi physical network (energy, cooling, ...) by modeling flows. Arnaud has 10 years of experience in telco and IT networks, and hold several patents. He also worked during 5 years in the energy efficiency area. He holds two masters degree, in electrical engineering and IT architecture



Alex Dimakis (Austin) @alexb80

Alex Dimakis (linkedin) is an Associate Professor in the Dept. of Electrical and Computer Engineering at the University of Texas. He is also a member of the Wireless Networking and Communications Group and the Computer Science Graduate Studies Committee. Alex's interests include information theory, coding theory, and machine learning.
Alex's recent publications include: Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large Graphs and Batch Codes through Dense Graphs with High Girth. For a list of publications, view Alex's homepage at UT.


(NEW) - Sebastian Good @sebastiangood

Sebastian Good is a creative software architect with a focus on turning industry innovation and intellectual property into new products. He leads Expero's architecture and development practice, recruiting switched-on developers, building inventive prototypes, and shipping code for customers.
Sebastian Good will be presenting the following session: Time Series and Audit Trails: Modeling Time in an Industrial Equipment Property Graph.



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.

(NEW) - Borislav Iordanov (Hollywood, Florida) @ bolerio

Borislav Iordanov Borislav Iordanov is currently the VP of Engineering at Grakn Labs, an open source knowledge graph. He is also an entrepreneur and independent researcher. Under his leadership, he has lead a number of a commercial and open-source projects, including founding the innovative, one of a kind NoSQL database HyperGraphDB. Over a period of an 8 year involvement in e-government at Miami-Dade County, several of his initiatives led to nationwide recognition: Best Integrator from the Center for Digital Government for semantic publishing and search; Florida Sterling Innovations Award for PKBI, a content management tool blending text with a formal ontology for contextualized multi-channel delivery; NACo Achievement Award from the National Association of Counties for the Economic Service Bot, an autonomous virtual agent for self-servicing of new local small businesses; finally, the ontology-driven OpenCiRM platform powering the Miami-Dade 311 call center, architected by Mr. Iordanov and implemented under his lead, achieved recognition as semi-finalist in the 2015 Innovations in American Governments Awards Program from the Harvard Kennedy School Ash Center.
Borislav Iordanov will be presenting the following session: Large Scale Graph Analytics Through Graql.


(NEW) - Chris LaCava @uxchrislacava

Chris LaCava has spent the past two decades defining, designing and building software for a variety of industry verticals. He has experience as a usability engineer, interaction designer, front-end developer as well as product manager for both consulting and product-oriented organizations. Chris leads Expero's efforts in defining visualization for graph datasets.
Chris LaCava will be presenting the following session: Meaningful User Experience with Graph Data.


Corey Lanum (Boston) @corey_lanum

Corey Lanum, 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 the Learning Graph Visualization from Manning Publications.

(NEW) - 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
William will be presenting the following session: Neo4j Graph Database Workshop For The Data Scientist Using Python. (90 minutes).

Alaa Mahmoud (Boston)

Alaa Mahmood is a full-stack software developer with more than 25 years of experience, about 20 of those years are with IBM. He started his career focusing on software i18n. He moved on to work on various technologies such as web development, e-commerce and Customer Analytics software. Currently, Alaa is the dev lead for a team that's putting a Tinkerpop 3 based database on the cloud (IBM Graph). Alaa is also a master inventor with several granted patents. Check out Alaa's recent interview on
Alaa will be presenting the following session: Building a Graph Database in the Cloud: challenges and advantages.


(NEW) - David Mizell (Austin)

David Mizell is a technical project lead at Cray, Inc. He started out his career doing parallel computing research, primarily at the Information Sciences Institute in Los Angeles. When the funding for that dried up, he moved to Seattle and Boeing. There he worked on Augmented Reality and Virtual Reality systems, doing some of the earliest prototyping of Augmented Reality systems and wearable computers. When the funding for that dried up, he joined Cray and resumed parallel computing research. Having finally found a stable source of research funding, he promptly worked himself out of it by prototyping a graph database system that Cray decided to productize. He now leads the development of Cray’s graph database product, the Cray Graph Engine. Currently he’s based in Cray’s Austin office.
David Mizell will be presenting the following session: LEBM: Making a Thoroughly Nasty Graph Database Benchmark.


(NEW) - Jean-Baptiste Musso (Paris) @jbmusso

Jean-Baptiste Musso (Linkedin) is a Developer, Graph database/TinkerPop evangelist at BNP Paribas Corporate and Institutional Banking. Jean-Baptiste,a a Tinkerpop committer, has been working with graph databases since 2013. During his free time, he maintains open source graph libraries, including a JavaScript client for the Apache TinkerPop3 stack.



Mo Patel (Austin) @mopatel

Mo Patel is a Senior Data Scientist at Think Big, A Teradata Company. Mo mentors clients across Americas on topics of Machine Learning, Data Science, Data Engineering and Artificial Intelligence. These mentoring engagements range from helping clients build large scale streaming analytics solution for deriving business value from sensor data to helping clients reduce customer churn and improve product stickiness via graph analytics. Mo is constantly evaluating the rapidly changing landscape of analytic libraries, tools, methods and frameworks in order to separate hype from reality for his clients. Current research interests are Sensor Data, Low-Latency Analytics, Deep Learning and Artificial Intelligence.
Mo has a Masters in Computer Science from Brandeis University, Bachelors in Math & Computer Science from College of the Holy Cross and MBA from Georgetown University. Mo is a Boston native, living in Austin and loves snow sports (not in Austin) and in order to maintain that addiction exercises and spends time outdoors (in Austin).

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.

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 Plurad will be presenting the following session: Enabling a Multimodel Graph Platform with Apache TinkerPop.


(NEW) - Haikal Pribadi (London) @ haikalpribadi

Haikal Pribadi is the Founder of GRAKN.AI, a distributed knowledge graph. His interest in AI began in at the Monash Intelligent Systems Lab, where he created an open source driver for the Parallax Eddie Robot which allows user interaction through gesture and speech and was then adopted by NASA for research. He graduated top of his class in Computer Science at Monash University and obtained a masters degree in AI at the University of Cambridge on a full scholarship. Haikal then joined Quintiq as the youngest Algorithm Expert behind their Optimisation Technology R&D that helped schedulings of world’s largest companies. He now works on Grakn and Graql, the graph query language for deep network data.
Haikal Pribadi will be presenting the following session: How to Manage and Harness Large-Scale Graph Data with Grakn.


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 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 presenting the following session: Do I need a Graph 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 Wilmes will be presenting the following session: Implementing Network Algorithms in TinkerPop's GraphComputer.