Data Science Track

9:00-9:30AM ET | 13:00-13:30 UTC | 6:30-7:00PM IST
The World Chooses Masks. We Choose the Knowledge Graph to Fight Covid
Back in March 2020, we were all uncertain about what was going to happen next with the Covid-19 pandemic. There was a choice to wear the mask and sit at home, or just pull up your socks and build a knowledge graph that could possibly save us from the pandemic. We chose the latter.

Shyam Pratap Singh
Associate Consultant, Al Elm Information Security Company, Riyadh, Saudi Arabia

I am a software engineer by passion not by the job. I am always curious and try to learn new things. In my 7 year experience, I have worked on Blockchain, full-stack, and now exploring data science and Neo4j graph. I am fascinated by neo4j graph and in my free time, i like to build and play with the graph. I keep publishing medium articles related to graphs, data science, and Blockchain. You can read it here.

Syed Salman Alam
Associate Technical Consultant, Elm Information Security

Electronics Hardware Engineer with 8 years of professional experience in complete life cycle of IoT and electronics product development, gathering requirements, building POCs and MVP and taking it to production grade products. Recently more focusing on wireless connection of IoT smart devices and its application. Currently working as an Associate technical consultant in Elm Information Security Company in Saudi Arabia.

Dr. Arshad Ali Khan
Senior Data Scientist, ELM Saudi Arabia

I am a Senior Data Scientist, at ELM, based in Riyad Saudi Arabia. I take immense interest in AI and ML technologies particularly AI in healthcare, graph data science, data and predictive analytics, and use cases that involve NLP and Computer Vision application. I love to be part of research and innovation projects which impact everyday life and taking part in the NODES21 talk reflects that interest; it has provided an opportunity to touch base with the community and share our findings and experiences.

9:30-10:00AM ET | 13:30-14:00 UTC | 7:00-7:30PM IST
BASF Knowledge Graph: Local and Global Traversals at Scale
A Neo4j knowledge graph with world's journal and patent data on 5 billion nodes and 50 bio edges is built for local and global traversals on tasks such as author and organization disambiguation, executed via a java-embedded neo4j-enterprise server, built with maven, and deployed as a docker build.

Janez Ales, PhD
Mathematician, Graph Algorithms Research Scientist, Knowledge Architecture&Innovation, BASF

Author's love for all graphs goes back to the late 80's when he implemented his first graph back-end for a successful heuristic for Hamilton cycles on cubic graphs. All three of his degrees encompass algorithmic graph theory and complexity. He currently works at BASF on a world’s journal and patent graph of 5 billion nodes and 50 billion edges, with emphasis on local and global traversals, for example entity disambiguation. Development pipeline includes python pre-processing with a reverse lookup for 5 billion nodes, a 7Tb neostore, and a java server code with an embedded neo4j-enterprise, for an efficient interplay of dense and sparse traversals, enabling real time local traversals and global off-line analysis of a graph on 55 billion entities. His past work includes linear and combinatorial optimization, ML, and AI projects.

10:30-10:45AM ET | 14:30-14:45 UTC | 8:00-8:15PM IST
Shell Companies: Using a Hybrid Technique to Detect Illicit Activities
Shell companies can be used to launder dirty money. Illegal arms dealers, drug cartels, corrupt politicians, terrorists and cyber-criminals have become some of the frequent users of shell companies. This study aims to develop a model for detecting shell companies using graph analytics through Neo4J.

Milind Tiwari
PhD Candidate, Bond University

Milind Tiwari is a Certified Fraud Examiner (CFE) and a Certified Anti-Money Laundering Specialist (CAMS) with industry experience with firms such as KPMG and EY. He is currently pursuing a PhD in the area of money laundering and is using Neo4J to analyze data as part of his thesis.

10:45-11:15AM ET | 14:45-15:15 UTC | 8:15-8:45PM IST
KNIME - Data Science Orchestration with Neo4j
"Sell this pen" – an urgent business request. Data scientists have to spend a large amount of time wrangling data from different sources and running ML algorithms. With KNIME's Neo4j Connection node, data science teams can build an end-to-end data science orchestration pipeline.

Dominic Kumar
Data Architect, Deloitte

Dominic Kumar is currently an Enterprise Data Architect, working on Data and Analytics workspaces. Dominic holds a computer science Engineering degree and has 16+ years of experience in Data Architecture. He has obtained several certifications in Oracle, SQL Server, MongoDB and Neo4j. He has spent close to 2 decades working in the Oil & Gas industry. He is expertise in transforming Data into Knowledge, providing 360-degree Insight on Data and value-based solutions. Dominic participates and speaks at Neo4j global summits and is a frequent community contributor for Neo4j. His core interests are NoSQL databases, machine learning, AI & security.

11:15-11:45AM ET | 15:15-15:45 UTC | 8:45-9:15PM IST
From Text to a Knowledge Graph: The Information Extraction Pipeline
In this talk, I will demonstrate NLP techniques to construct a knowledge graph using text as an input. See my blog post on this topic on Towards Data Science for more details.

Tomaž Bratanič
Data Analyst, Self-employed

Graph and network science fan. Excited about the intersection between knowledge graphs and machine learning fields. I do try to write most of what I learn in my blog posts.

12:45-1:15PM ET | 16:45-17:15 UTC | 10:15-10:45PM IST
Custom Conversion from a Relational Database to Neo4j
Quickly and easily move data from your RDBMS to a Neo4j graph database. Featuring a custom hierarchy not found in the relational database, Neo4j uses attribute-level specificity via an open-source ETL tool and a CSV file.

Jim McHugh
VP, NIS - Emerging Markets Portfolio, BigBear.ai

An accomplished Sr. IT leader with over 25 years of professional experience applying technology solutions to business challenges. Mr. McHugh has expertise in data modeling, data governance, business intelligence, predictive analytics, and data science. His responsibilities include establishing and executing a strategy that ensures the application of data management & analytics to enable an organization to strategically leverage and fully realize the value of its data.

Justin Rasband
Analytics Full-stack Developer, BigBear.ai

Justin is a full-stack developer hailing from Utah. When he’s not creating Java APIs, driving data solution paradigm shifts, or innovating JavaScript UI extensions, he enjoys hiking, birdwatching, and Dungeons and Dragons

1:15-1:45PM ET | 17:15-17:45 UTC | 10:45-11:15PM IST
Bridging the Gap: Using Graph Data Science to Reconcile Disparate Data with Ontologies
Ontologies allow data scientists to forgo directly aligning disparate taxonomies between datasets and to traverse them using common and trusted language. We will explore methods for reconciling taxonomies with ontologies, their efficacy, and how to implement an automated alignment process at scale.

Elizabeth Michel
Senior Analytics Engineer, Tamr

I strive to bridge the gap between data science and business value. All too often, data teams are siloed from their executives, and those making the decisions for the company are not armed with the information necessary to develop data-driven insight. A dashboard is only as good as the data behind it, and one discrepancy or error in a visualization or analytic can and will undermine data trust within the enterprise.

As a Senior Analytics Engineer at Tamr, my role is to enable business users to reap the benefits of technical solutions and to fully realize the value of their data ecosystem. For many of the largest global enterprises, immense analytic value is just waiting to be unlocked, and my goal is to bring data projects through the finish line so that every team within the company can drive their decisions with trusted data.

2:15-2:30PM ET | 18:15-18:30 UTC | 11:45PM-12:00AM IST
Data Warehouse to Graph with Apache Spark
A demonstration and technical discussion of how to transform any set of data warehouse tables into graphs, and load data performantly into Neo4j with repeatable batch jobs, implemented using Apache Spark.

David Allen
Global Lead Cloud Architect, Neo4j

David is a deeply technical generalist with experience in managing teams and driving towards complex goals. The most fun he has had in his career is when he is learning something new, or trying to figure out how to do something that hasn’t been done before. When not trying to improve something technical, you can usually find David playing guitar or cycling. He loves meeting new people, and has a very keen interest in language and culture and loves to find common ground with other people through travel and music.

2:30-3:00PM ET | 18:30-19:00 UTC | 12:00AM-12:30AM IST
Building an ML Pipeline in Neo4j: Link Prediction Deep Dive
Hands on deep dive into building a link prediction model in Neo4j, not just covering the marketing highlights but also all the tricky technical bits that make the difference between a great model and nonsense.

Alicia M. Frame
Director of Data Science, Neo4j

Alicia Frame is the Director of Graph Data Science at Neo4j.

Jacob Sznajdman
Graph Analytics Engineer, Neo4j

Jacob Sznajdman is an algorithm developer for Neo4j and the Graph Data Science library. He has experience in Machine Learning and Data Science from text classification, machine learning library building, query resource prediction and data-driven load balancing. He also holds a PhD in mathematics and has done research on the intersection of graph algorithms and machine learning.

3:00-3:30PM ET | 19:00-19:30 UTC | 12:30AM-1:00AM IST
DreamCatcher: Deep Learning and Graph Analytics for the Dreamscape
Dive into 30,000 dreams from UCSC’s DreamBank with Kineviz Data Scientist, Ana Areias. This talk will use deep learning for NLP and text-to-image generation, GraphXR and Neo4j to build a dream similarity graph, identify and interpret dream clusters and visualize and explore the subconscious terrain.

Ana Areias
Data Scientist, Kineviz

Ana is a Data Scientist at Kineviz who has previously worked on poverty prediction and big data for labor at the World Bank. A Harvard MPA-ID grad, she has been a fellow at Data Incubator, a member of DataCorps with DataKind, and a Program Manager at Data-Pop Alliance. Alongside all things data, she’s an avid surfer and a struggling billiards player.

Neo4j Track

9:00-9:30AM ET | 13:00-13:30 UTC | 6:30-7:00PM IST
Introduction to Neo4j
Join us for an informative introduction to Neo4j.

Priya Jacob
Consulting Engineer, Neo4j

Priya is a member of the Neo4j Professional Services Team.

Tom Geudens
EMEA Field Team, Neo4j

Tom is a member of the Neo4j EMEA Field Team.

9:30-10:00AM ET | 13:30-14:00 UTC | 7:00-7:30PM IST
Neo4j and GraphQL: The Past, Present and Future
Neo4j has a long-standing relationship with GraphQL. Come and listen to Darrell talk about transitioning GraphQL tooling from Neo4j Labs into Product Engineering, the features of the new library, and future roadmap goals for Neo4j and GraphQL.

Darrell Warde
Software Engineer, Neo4j

In the last few years of his 7 year career in the UK Civil Service, Darrell was focused on building GraphQL applications and fostering its adoption throughout his department. Darrell brought that passion over to Neo4j in January 2021, where he is now working on building the next generation of GraphQL tooling for Neo4j.

10:30-10:45AM ET | 14:30-14:45 UTC | 8:00-8:15PM IST
Improving the Neo4j Developer Experience with Neo4j
How we took a data-driven approach to improving the developer experience across Neo4j.com.

Adam Cowley
Developer Experience Engineer, Neo4j

Developer Experience at Neo4j.

10:45-11:15AM ET | 14:45-15:15 UTC | 8:15-8:45PM IST
The Neo4j Java Ecosystem
Working with a Neo4j instance from the Java ecosystem was never so easy as it is today. Let's explore the options you have from plugins to object mapping.

Gerrit Meier
Software Engineer, Neo4j

As a software engineer at Neo4j Gerrit is developing the Neo4j Object Graph Mapper (OGM) and the Spring Data Neo4j (SDN). He is always looking for new things to learn and tries to make the world better by sharing knowledge and ideas. Not only because of that he is a co-leader of his local Java User Group.

11:15-11:45AM ET | 15:15-15:45 UTC | 8:45-9:15PM IST
Come for the Tools and Stay for the Developer Flexibility!
Learn how Neo4j tools can help with developer flexibility, and with building intelligent applications!

Gregory King
Product Manager- DevTools, Neo4j

Greg is Product Manager for Developer Tools Neo4j Browser and Desktop. His passion is building frictionless experiences that allow users to focus on the problems they are trying to solve. For a decade Greg helped build graph-based financial crime prevention products for insurers, banks and governments. Working in Product Management and User Experience roles he developed his strong interest in all things graph, with a particular focus on the interpretability of graphs.

12:45-1:15PM ET | 16:45-17:15 UTC | 10:15-10:45PM IST
Graph Data Science 1.6: What's New?
We'll update everyone on the latest GDS features in our 1.5 and 1.6 releases - covering new algorithms, supervised ML pipelines, and more!

Alicia M. Frame
Director of Data Science, Neo4j

Alicia Frame is the Director of Graph Data Science at Neo4j.

Amy Hodler
Product Marketing Manager, Neo4j

Amy Hodler is the Product Marketing Manager for Data Science at Neo4j.

1:15-1:45PM ET | 17:15-17:45 UTC | 10:45-11:15PM IST
What's New with Neo4j 4.3
Learn from experts about some of the most significant updates made to Neo4j 4.3, and achieve unlimited scale, mission-critical confidence, and developer flexibility!

Ivan Zorratti
Product Manager, Neo4j

Ivan leads the Product Management team for the Neo4j Database. He started his career at Digital Equipment Corporation, following his passion for the kernel of the PdP 11 machines and later with VAX/VMS Macro programming and networking. An author, an entrepreneur, he was founder of Dianomic Systems (an IoT startup), CTO at SkySQL (now MariaDB) and led Systems and Sales Engineering teams at MySQL, Sun and Oracle.

Anton Persson
Engineer, Neo4j

Neo4j Engineer, Kernel team with focus on indexing.

Valdemar Roxling
Engineer, Neo4j

Neo4j core database engineer with focus on concurrent, performant and resource efficient problem solving to improve data storage and access with Neo4j.

2:30-3:00PM ET | 18:30-19:00 UTC | 12:00AM-12:30AM IST
Drawing and Creating Graphs with Arrows.app
Want to draw a diagram to explain your Neo4j graph to a friend or colleague? Arrows.app the perfect tool for the job. Use it to draw pictures of graphs for presentations, blogs, or documentation. This talk demonstrates drawing with Arrows.app and super-quick ways to put data into Neo4j.

Alistair Jones
Director of Engineering, Neo4j

Alistair Jones is Director of Engineering at Neo4j, leading and growing the teams that build Neo4j. Alongside his main job in management, Alistair created arrows.app as an experimental side project, in close collaboration with Irfan Nuri Karaca.

Irfran Karaca
Software Engineer, Neo4j

Irfan has been part of the Neo4j community for more than 6 years, initially working on a Graph Visualisation and ETL tool at Kale Yazilim. He presented that work at GraphConnect 2016. He initially worked on Neo4j Browser and then the first few versions of Neo4j Bloom. He is currently one of the Lead Engineers in the Neo4j Aura team, Neo4j’s fully managed cloud service, focused on the Console of the Neo4j Aura. He worked on version 2 of Arrows, a graph drawing tool that has been used to design and prototype many graph projects, and was also instrumental in the creation of NEuler, an education tool used to introduce users to the Graph Data Science Library.

3:00-3:30PM ET | 19:00-19:30 UTC | 12:30AM-1:00AM IST
Cypher Sleuthing: Taking Your Skills to the Next Level
We know the basics of Cypher and can navigate a graph, but how do we take our skills to the next level? This session will navigate more complex concepts for writing clean, simple, and performant queries with Cypher. Come join us to take the next step for Cypher expertise!

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Jennifer Reif
Developer Relations Engineer, Neo4j

Jennifer Reif is an avid developer and problem-solver. She holds a Master’s degree in Computer Management and Information Systems and has worked with large enterprises to organize and make sense of widespread data assets and leverage them for maximum business value. She has worked with a variety of commercial and open source tools and enjoys learning new technologies, sometimes on a daily basis! Her passion is finding ways to organize chaos and deliver software more effectively.

Visualization Track

9:00-9:30AM ET | 13:00-13:30 UTC | 6:30-7:00PM IST
Improving Data Exploration, Discovery and Collaboration with Neo4j and Motif
Introducing Motif, a graph intelligence application to simplify the discovery and collaboration of connected data. Building on top of popular solutions such as Neo4j and Jupyter Notebooks, Motif aims to make graphs more accessible to both data scientist and business teams.

Timothy Lin
Co-founder, Cylynx

Timothy is the co-founder of Cylynx, which specialises in fraud detection and forensics. Recognised in Regulations Asia Awards 2020 as "One to Watch", they partner with financial institutions, blockchain companies and regulators to flag out suspicious activities. He has a wide range of experience in applied data analysis and delivered end to end graph data science consulting services for global MNCs.

9:30-10:00AM ET | 13:30-14:00 UTC | 7:00-7:30PM IST
Answering Graph Questions With Search and Visual Exploration in Neo4J Bloom
Neo4j Bloom combines the power of graph-based search and visual graph exploration in a product you will want to show off with your data. Come and see the latest we’ve added in Bloom to help it become your first stop for visualizing Neo4j graphs.

Anurag Tandon
Director of Product Management, Neo4j

Anurag’s mission is to help Neo4j customers get successful with our portfolio of end-user products. Prior to Neo4j, Anurag spent almost two decades in big data analytics and business intelligence, while in product and customer facing roles at Zoomdata and MicroStrategy. He is keenly passionate about enabling visual experiences that allow end users to freely explore their data assets.

Anurag holds a B.Tech. from IIT Bombay and an MS from University of Maryland, both in Mechanical Engineering, and an MBA from University of Michigan. He lives in Northern Virginia and enjoys leisure time with family and friends, and wandering to new places; ideally both.

10:30-10:45AM ET | 14:30-14:45 UTC | 8:00-8:15PM IST
Revealing the Life of a Twitter Troll with Neo4j
Katerina will combine Neo4j and Cypher queries with visual timeline and graph analytics to unpick the behaviors of 3000 Russian Twitter trolls.We’ll see how trolls exploit tragedies, hashtags, and fake personas to stir up hatred, and how graph tools can help to find and shut down their accounts.

Katerina Baousi
Solutions Engineer, Cambridge Intelligence

Experienced Solutions Engineer with a demonstrated history of working in the computer software industry. Skilled in web development, data visualizations and with a wide range of expertise and experience in various business sectors. Very enthusiastic in delivering high-quality training and consulting services to people around the world.

10:45-11:15AM ET | 14:45-15:15 UTC | 8:15-8:45PM IST
How to Visualize Relationships Between Supervisory Board Members, Management Board Members, and Auditors Using Neo4j
Have you ever wondered who the key players in the German DAX 30 companies are and who is connected to whom? I will show who studied together, who worked together, and who was born in the same region. I will also explain the effects, both good and bad, of the "Deutschland AG".

Julian Gruemmer
Research Assistant, Friedrich-Alexander-University

I'm Julian and not into IT at all, but there is one thing that really fascinates me: GRAPHS! Graphs changed my life and I use it for my research, my teaching and also my spare time. Feel free to contact me and let me introduce to my graph universe.

11:15-11:45AM ET | 15:15-15:45 UTC | 8:45-9:15PM IST
Improving Fraud Detection and Investigation with Machine Learning and Graph Analytics
Smart criminals need more than simple rules to stop them. In this talk we'll demonstrate how to combine machine learning, graph analytics, and visualization to uncover fraud schemes that would go unnoticed with traditional approaches. The talk will include concrete examples inspired by real clients.

Jean Villedieu
Co-founder, LINKURIOUS

Jean is the head of sales of Linkurious, a software company pioneering the use of graph analytics in financial crime investigations. With Linkurious, he has worked with companies and government agencies throughout the world on fraud, cyber-security or intelligence projects. Jean has a degree in political sciences and a degree in competitive intelligence.

12:45-1:15PM ET | 16:45-17:15 UTC | 10:15-10:45PM IST
Building Executable Microservice Process Flows Using a Cypher Compiler
What if your architecture diagram was also your executable artifact and process documentation?

Srivathsava Rangarajan
Principal Backend Architect, Chowbus

Sri is the Principal Backend Architect at Chowbus, Inc. - an ethnic food delivery startup, and an avid data nerd. He has experience with diverse databases and the wrangling of unstructured data for critical path use-cases. He is also *that guy* who plies the DBA regularly with food and beverage to maintain skunkworks superuser access to the database at all times. When he isn't on a soapbox proselytizing the right tool for the right job, he is worrying about portfolio exposure and/or evangelizing better understanding of data structures, domains and models to ultimately foster sustainable design and architecture in order to continually find uninterrupted sleep every night.

1:15-1:45PM ET | 17:15-17:45 UTC | 10:45-11:15PM IST
Modelling Physical Systems Using Graphs
Never has understanding the environment been more crucial, especially when it comes to natural resources and energy. Challenge: environmental data is fragmented across different systems and formats. Proposition: Bring disparate data together into a spatial knowledge graph ready for extensions.

Mike Morley
Director AI/ML Technology, Arcurve

Mike has delivered innovation and insight through implementing leading-edge technology in the mining, environmental, AEC and engineering market sectors. For more than 25 years, Mike has helped organizations realize the value of their data as both an entrepreneur and in strategic leadership roles. He began working with Neo4j in the context of developing environmental knowledge graphs as the Dir. of Knowledge and Technology at Matrix Solutions in 2012 to addressing the complex and growing challenges associated with effectively deriving insight from environmental data management. Traditional relational models had proven to be limited.

Peter Tunkis
Data Scientist, Arcurve

Pete Tunkis is a Data Scientist with the Arcurve Advanced Analytics team. He has over a decade of experience in data-driven research, analytics, and project management. His strengths lie in combining deep knowledge of research best practices with industry application, adapting to changing scenarios and quickly learning and understanding new skills and complex systems. Pete earned a Ph.D. in Political Science from The Ohio State University with a focus on behavioural analytics, and he brings with him a strong understanding in both statistical/machine learning approaches and qualitative research methodology. Before joining the Arcurve family, Pete worked in government, academia, banking, and insurance in Europe and the United States. Otherwise, he enjoys yelling at the TV when the Calgary Flames are losing and is always up for a game of darts.

2:15-2:30PM ET | 18:15-18:30 UTC | 11:45PM-12:00AM IST
AviarGraph - Visualizing Neo4j Graphs in VR Using Force-Directed Graph Technology
Do dense graphs overwhelm your ability to process what you see? What if instead of analyzing your graph on 2D monitors, you could stand inside your graph in a space as big as the sky? AviarGraph delivers dynamic Neo4j graphs in VR using force-directed graph technology to let you immerse yourself in your data.

James R. Mireles

I have been in software development for over 25 years, most spent in databases. But in 2014, facing a NASA layoff (layoffs happen in the NASA world; they're part of the experience), I decided to pivot into VR. I acquired an Oculus DK2 and started learning Unreal and then, later, Unity. Data science in VR is a way to leverage my software development skills in a dynamic and growing field. What else is of interest about me? Hmmm, I have a history degree, which means I would probably be the only presenter on the program with a non-technical degree (something I'm quite proud of). And I have one party trick: I can balance a sharpened pencil on my index finger.

2:30-3:00PM ET | 18:30-19:00 UTC | 12:00AM-12:30AM IST
Creating Your First Graph Visualization: A Low-Code Approach
You've seen those graph visualizations, and you always wanted to create your own awesome apps that perfectly fit your use-cases, which can provide not just visualization but also insight. I will show you how to create a graph visualization for your Neo4j data in less than 10 minutes without coding!

Sebastian Müller
CTO, yWorks

Sebastian has spent his entire professional career on the topic of interactive graph visualization. Almost 20 years ago, he helped establish [yWorks](https://yworks.com) as the leading provider of graph visualization software development kits. Today he is CTO of yWorks, leading a team of more than two dozen software developers, working on the company's visualization SDKs [yFiles](https://yworks.com/yfiles). He is a developer by heart who wants to help others getting into graph and diagram visualization as smoothly as possible.

3:00-3:30PM ET | 19:00-19:30 UTC | 12:30AM-1:00AM IST
Compliance Services in Gaming; Know Your Customer Connections with Neo4J
This Neo4j talk provides insight into the online gaming sector. This worldwide sector is rapidly evolving as advanced payment solutions are used, but at the same time compliance with regulations in various jurisdictions is essential. It is key for its participants to understand the KYC Connection.

Arthur Namias de Crasto
Compliance Officer, EM Group

Arthur Namias de Crasto borne and raised in the Netherlands and currently living in Curacao is a economist of the University of Amsterdam with more that 20 year experience in various management positions in the Financial Sector in Curacao. He is neo4j certified and works as a compliance officer at a EM Group a trust & corporate services provider based amongst others in Curacao and various other jurisdictions.