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 Knowledge Graph 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.
Dave will be giving the following Knowledge Graph presentation: Graph Database + Legacy Application = Hard.

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.
Dan will be giving the following Knowledge Graph presentation: Building a Knowledge Graph.

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 giving the keynote presentation: From Theory to Production.

Jim Hatcher (Dallas/Fort Worth) @thejimhatcher

Jim Hatcher is a Senior Solution Architect at DataStax. He has over 20 years experience working with high volume transactional applications and various database systems. After spending most of his career working with SQL Server and .NET applications, he developed a passion for Big Data technologies and started working with Cassandra, Spark, and most recently Graph Databases. With DataStax, Jim has worked on several Graph projects and is eager to share some of the lessons he learned working on those projects.
Jim will present the following session: Comparing GraphFrames access methods in DSE Graph


Stefan Hausotte (Bochum, Germany) @_secana_

Stefan Hausotte (LinkedIn) is the team lead for “Automated Threat Analysis” at G DATA, where he plans and coordinates the development of automated malware analysis and classification tools. He is an active open source committer in different projects related to security, .NET and software development areas. Furthermore he teaches IT-Security at the Technical University of Dortmund and is a frequent speaker about security related topics at conferences and fairs. He believes that a graph is the natural representation of the different interconnections between malware and malicious actors and a graph database is the right approach as an underlying technology for efficient malware analysis at large scale.
Stefan will be co-presenting the following TinkerPop session: Graph Based Malware Analysis

Florian Hockmann (Bochum, Germany) @florianhockmann

Florian Hockman (LinkedIn / GitHub) is a security researcher and developer at GData where he develops systems that automatically analyze and detect malware. After writing his master thesis about clustering of malware based on network traffic, he discovered that a graph database would be a good fit to connect all the information about malware’s behavior extracted by various systems at G DATA. This led him into the area of graph computing. He is now an Apache TinkerPop Committer, mostly working on Gremlin.Net, the .NET driver and Gremlin Language Variant, and he contributes to JanusGraph.
Florian will be co-presenting the following TinkerPop session: Graph Based Malware Analysis

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.

Ben Krug (Internetland) @Ben_Krug

Ben Krug is a Technical Support Engineer at DataStax. Previously he was a Support Engineer at MySQL, then Sun, then Oracle, and before that, a DBA at numerous companies, from banks and utilities to startups. He's worked with a variety of databases since 1990, from ISAM and hierarchical to relational and graph. He has an interest in database modeling theory and its applications, and writes about it at http://oracle2mysql.wordpress.com (formerly) and http://intertubes.wordpress.com (now).
Ben will present the following TinkerPop session: How Do *You* Graph? - Minimizing Developer Impedance.

Jonathan Lacefield (Atlanta) @jlacefie

Jonathan Lacefield is a Senior Director within DataStax's product management team where he leads the strategy and vision for the DataStax Enterprise Server platform. Jonathan has had direct responsibility for the DSE Graph product line since it's launch in June of 2016. As an almost 5 year veteran of DataStax, holding roles from Solutions Architect to Swat Team Member, Jonathan has helped dozens of companies ideate, design, develop, and deploy global scale applications built on DataStax Enterprise and DataStax Enterprise Graph.
Jonathan will present the following session: Data Modeling with an FU to Super Nodes.

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
Corey will present the following Graph Visualization session: How to Destroy Your Graph Project with Terrible Visualization.

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 Graph Visualization session: Visualizing Graph Data - Moving Beyond Node Views.

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 will be presenting as part of the TinkerPop track.

Mike Tung (SFBAY) @mikektung

Mike Tung is the CEO of Diffbot, an adviser at the Stanford StartX accelerator and the leader of Stanford’s entry in the DARPA Robotics Challenge. In a previous life, he was a patent lawyer, a grad student in the Stanford AI lab, and a software engineer at eBay, Yahoo!, and Microsoft. Mike studied Electrical Engineering and Computer Science at UC Berkeley and Artificial Intelligence at Stanford.
Mike will present the following Knowledge Graph session: Knowledge Graphs for AI.

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 TinkerPop session: Distributed ACID with JanusGraph on FoundationDB.