Graph Day Returns to Data Day Texas

Yes! Graph Day returns to Data Day Texas! Every time we host Graph Day, it gets bigger. This one will be a full house. If you want to speak, send your proposals ASAP. If you want to take advantage of discount tickets, don't daudle. Purchase yours now. Expect surprises. Check this page for updates.

Featured Presentation - Ted Wilmes - The State of JanusGraph 2018

Ted's talk will kick off an afternoon of talks featuring JanusGraph. Details forthcoming soon.

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.

Confirmed Speakers

Dave Bechberger (Houston)

Dave Bechberger is a Sr. Architect at Gene by Gene, a genetic genealogy and bioinformatics company, where he works extensively on developing their next-generation data architecture. 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 international technical conferences including NDC Oslo, NDC London, and Graph DayTexas.

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.

Mike Downie (Bryan/College Station)

Mike Downie, Technical Lead at Expero, is driven to solve technical problems in the most practical way possible. To do this well he developed a diverse set of skills to truly understand the problem(s) at hand and a depth of technical knowledge to create great solutions.
Lifelong interests in technology, math, and science and that drive to solve problems led Mike to pursue a Computer Science degree at Texas A&M. He wasn’t content to learn about software in a classroom, he wanted to apply concepts in real-world settings as soon as possible. His final three years of college he worked professionally developing software. First as a co-op student for a (then) national telecommunications company and later part-time for a software consulting company. This ‘dual education’ allowed Mike to graduate with a strong academic foundation and the practical skills to apply his knowledge.
After completing his degree Mike continued to work for the consulting company, helping the company grow from 4 employees to more than 60 over the course of a decade. He gained expertise through success on a diverse set of projects. Project work included data acquisition and control, database applications and user interface design. During this period Mike also built software teams, studying software project management, estimation, requirements gathering, application lifecycle management and learning to effectively mentor junior developers.
Mike’s most recent work includes database design and front-end development for enterprise resource planning systems. He continues to look for difficult problems needing great solutions. What makes a great solution? He says first and foremost it has to work well, meeting both the functional and non-functional requirements. A solution can’t just work it has to work fast enough, be intuitive to the user and be maintainable by the developers to be great.

Dr. Denise Koessler Gosnell (Charleston) @DeniseKGosnell

In August 2017, Dr. Denise Gosnell, transitioned into a Solutions Architect position with DataStax where she aspires to build upon her experiences as a data scientist and graph architect to further their established line of graph solutions. Prior to her role with DataStax, Dr. Gosnell was a Data Scientist and Technology Evangelist at PokitDok. During her three years with PokitDok, she built software solutions for and spoke at over a dozen conferences on permissioned blockchains, machine learning applications of graph analytics, and data science within the healthcare industry.
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.

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.

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.

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.

Alan Pita (Austin)

Alan Pita, Graph Developer and Architect at Expero, has 20+ years of experience as a developer and architect for high-performance software-hardware systems scaling to multiple data centers with thousands of participating nodes each. He specializes in helping firms productize and monetize complex software technology from emerging research. He has three patents stemming from 10 years of work at IBM’s Server Division. He has led globally distributed technical teams, mined and managed agile product requirements, and built a proven track record of delivering boundary-defying technical innovations. Alan brings extensive technical experience in the areas of programming languages, complex SoC design, computer system architecture and functional design verification. Alan has a Bachelor’s Degree in Computer Science and Engineering from Texas A&M University and a Master's Degree in Computer Science from Stanford University. He is currently on hiatus from the Ph.D. program in Electrical and Computer Engineering at the University of Texas at Austin. He is also a graduate of the IBM Leadership Excellence course.

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.

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.

Trey Wilson (Dallas)

As a software consultant for Expero, Trey Wilson focuses on getting real code working quickly. Trey loves to work with the newest technologies, but only when they serve to achieve a pragmatic goal.
As soon as the “middle-of-nowhere” town that Trey grew up in had the Internet, he taught himself to program and hasn’t looked back since. He has programmed everything from displaying real-time geospatial communications data to image recognition using deep learning algorithms. The quickest way to get Trey interested in a problem is to say “This looks difficult.” Trey enjoys traveling to new cities to see if they have any good craft beers, reading up on esoteric subjects in case they ever become useful, and cooking like an amateur.