Who will be speaking at Graph Day SF 2018?

We're just beginning to announce the speakers for Graph Day SF. We'll continue to publish new speakers as they are confirmed. If you would like to present at Graph Day SF, visit our proposals page for details.

Confirmed Speakers

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.
Jans will be giving the following presentation: Navigating Time and Probability in Knowledge Graphs.

Dave Bechberger (Houston) @bechbd

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.

Dan Bennett (SF Bay) @nonodename

Dan Bennett (Linkedin) is a technology leader within the corporate technology platforms division of Thomson Reuters.
Dan leads a multidisciplinary team of product, program & project managers, engineers, researchers and UX designers responsible for building Big, Open and Linked (Graph) Data capabilities for re-use across the company and sale to customers. This includes Natural Language Processing products like Thomson Reuters Intelligent Tagging, open data at permid.org, Data Fusion graph analytics and pan company Knowledge Graph.
A native of the UK, Dan is based in the Twin Cities and, depending on the seasons, when not at work or home is either skiing, running or sailing.

Mayank Kejriwal (Los Angeles) @kejriwal_mayank

Mayank Kejriwal is a research scientist and lecturer at the University of Southern California's Information Sciences Institute (ISI). He received his Ph.D. from the University of Texas at Austin under Daniel P. Miranker. His dissertation involved Web-scale data linking, and in addition to being published as a book, was recently recognized with an international Best Dissertation award in his field. Some of his projects at ISI, all funded by either DARPA or IARPA, include: automatically extracting information from large Web corpora and building search engines over them (the topic of his talk); 'automating' a data scientist with advanced meta-learning techniques; representing, and reasoning over, terabyte-scale knowledge graphs; combining structured and unstructured data for causal inference; constructing, embedding and analyzing networks over billion-tweet scale social media; and building a platform that makes research easy for geopolitical forecasters. His research sits at the intersection of knowledge graphs, social networks, Web semantics, network science, data integration and AI for social good. He is currently co-authoring a textbook on knowledge graphs (MIT Press, 2018), and has delivered tutorials and demonstrations at numerous conferences and venues, including KDD, AAAI, ISWC and WWW.

Keynote 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.
Check out Dr. Gosnell's latest Data Day talk, Everything is not a Graph on the Global Data Geeks YouTube Channel.

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.