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.

Varun Ganesh (Singapore)

Originally a graduate in Electrical Engineering from the National University of Singapore, Varun Ganesh has over time turned into a software engineer skilled in multiple programming languages, frameworks and databases through self-learning and being employed in IT and services across multiple industries. Over the course of his career he has been responsible for the automation of banking operations in global MNCs and the development of microservices enabling customer solutions in fintech. He is currently involved in the design and implementation of ETL pipelines at Nugit that process large amounts of digital-marketing data.
Varun will be co-presenting the following TinkerPop presentation: Extensible RESTful Applications with Apache Tinkerpop.

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

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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

Jing Chen He (San Jose)

Jing Chen He (LinkedIn) is an architect and senior software engineer at IBM with extensive experience in data management, data governance, and big data. He is a JanusGraph Committer, TSC, and a Apache HBase Committer, PMC.
Jing Chen will be presenting the following session: Apache Atlas and JanusGraph - Graph-based Metadata Management

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

Harshvardhan Joshi (Singapore)

A market researcher turned software engineer with a Masters in Business Analytics from the National University of Singapore,Harshvardhan Joshi enjoys helping organisations leverage the value of data. Using his skills in statistics and machine learning, he has worked on a variety of problems across industries to answer key business questions that help stakeholders make decisions. Currently at Nugit, he contributes to building data pipelines that ingest massive amounts of data and help clients get their insights faster.
Harshvardhan will be co-presenting the following TinkerPop presentation: Extensible RESTful Applications with Apache Tinkerpop.

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.

Leo Meyerovich (SFBay) @lmeyerov

Leo Meyerovich founded Graphistry to supercharge visual investigations. Graphistry connects browsers to GPUs and eliminates query writing, which build on his work at UC Berkeley. His most referenced work is in language-based security. Past projects include the first functional reactive web language, first parallel web browser, GPU visual analytics, and sociological foundations of programming languages. These ideas received various research awards and are now in popular browsers and frameworks.
Leo will present the following session: Using GPUs & Design to Scale Visual Analysis of Digital Crime.

Christian Miles (Ontario, Canada)

Christian Miles (LinkedIn), is the Technical Sales Manager at Cambridge Intelligence. Since completing his Masters in Maths & Computer Science at Bristol University in the UK, Christian has specialized in graph visualization software for global enterprise deployments. In his roles at BAE Systems and the Wynyard Group, Christian's focus has been applying graph network analysis in Financial Crime, Cyber and Law Enforcement domains. Christian is a North American Sales Engineer for Cambridge Intelligence, makers of KeyLines, and is based out of Canada.
Christian will present the following Graph Visualization session: How to Destroy Your Graph Project with Terrible Visualization.

Kevin Madden (Berkeley)

With more than twenty years of experience in the software industry, Kevin Madden (LinkedIn) brings an innovative approach to Tom Sawyer Software. He plays a strategic role in the direction of the company's server-based products to support the latest and emerging technologies. As Chief Software Engineer, Kevin oversees the design, creation, and execution of these products and ensures that his teams deliver robust, flexible, and easy-to-use products.
Kevin's leadership experience includes Chief Executive Officer and cofounder of Clooster, an enterprise and web search company that was acquired by Tom Sawyer Software. At Clooster, he was responsible for the overall vision, corporate structure, strategy, partnerships, and financing of the company.
Prior to Clooster, Kevin was the lead architect for several of Embarcadero Technologies' database products, including DBArtisan and RapidSQL. Kevin also led the design and development of Sun Microsystems' NetBeans UML modeling framework. He has also held senior software engineering roles at Symantec, Informix Software, and the IBM Thomas J. Watson Research Center. Kevin holds a Bachelor of Science degree in Computer Science from the State University of New York.
Kevin will present the following Graph Visualization session: Case Study: Visualize and Analyze the GDELT Global Knowledge Graph..

Paras Mehra (Washington D.C.) @parmehra7

Paras Mehra (LinkedIn), Solutions Architect at DataStax, is a graduate of the College of William and Mary. He began his career at InfoChimps where he worked as a data engineer building data infrastructure for various clients. He became interested in machine learning, distributed analytics, and scaling out data infrastructure during his time there. Eventually, he made his way to DataStax where he has helped clients in the Intelligence, Automotive, and Manufacturing industries build and scale applications.
Paras will present the following TinkerPop session: Vertex Programs or GraphFrames? Two approaches to Graph Analytics.

Max Neunhöffer (Köln) @neunhoef

Max Neunhöffer (LinkedIn) is a mathematician turned database developer. In his academic career he has worked for 16 years on the development and implementation of new algorithms in computer algebra. During this time he has juggled a lot with mathematical big data like group orbits containing trillions of points. Recently he has returned from St. Andrews to Germany, has shifted his focus to NoSQL databases, and now helps to develop ArangoDB. He has spoken at international conferences including Strata London or MesosCon Seattle and is O’Reilly contributor.
Max will present the following session: Building a Graphy Time Machine.

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.

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.

Dr. Mingxi Wu (Redwood City)

Dr. Mingxi Wu is the VP of Engineering responsible for product development, quality assurance, and release. Mingxi excels at engineering team building and tech leadership. Previously, he worked at Ad-Tech startup Turn (acquired by Amobee), Oracle Relational Database Optimizer Group, and Microsoft SQL Server Manageability Group. He won research awards from SIGMOD, VLDB and KDD and holds patents on big data and pending patents on graph management. Mingxi received his PhD from the University of Florida, where he specialized in database and data mining.
Mingxi will present the following session: Eight Prerequisites of a Graph Query Language.

Barry Zane (San Diego)

Barry Zane has led product architecture at several industry-shaping companies and products. Prior to joining Cambridge Semantics, he founded SparqlCity and previously Paraccel, whose database system is the core of Amazon Redshift. Previously, Zane was a co-founder and VP Technology for Netezza (IPO, acquired by IBM) and prior to Netezza, was CTO of Applix (IPO, acquired by IBM).
Barry will present the following session: Large scale graph analytics with RDF and LPG parallel processing.