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, 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?

We're just beginning to announce the speakers for the 2nd Graph Day Texas. Expect to see many more. We'll be updating the page as speakers confirm. You can find a list of the sessions on the sessions page. If you'd like to speak at Graph Day, check out the proposals page. If your company would like to join Graph Day as a sponsor, please visit our sponsor page.

(NEW) - 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.


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. He 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



(NEW) - 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) - 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.


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.



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.


(NEW) - 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.