Track Overview
Modern CS in the Real World
Rediscover CS in this applied track on how research is affecting software today.
From this track
Using Randomized Communication for Robust, Scalable Systems
Three key needs that any distributed system must address are discovery, fault detection, and load balancing among its components. Satisfying these needs in a robust and scalable manner is challenging, but it turns out randomized communication can help with each of them. In this talk, we will...
Jon Currey
Director of Research @HashiCorp
Automated Test Design and Bug Fixing @Facebook
The talk describes the deployment of Sapienz, a system for automated test case design that uses Search Based Software Engineering (SBSE) that has been deployed at Facebook since October 2017 to design test cases, localise and triage crashes to developers and monitor their fixes. It also describes...
Nadia Alshahwan
Software Engineer @Facebook
Automatic Clustering At Snowflake
For partitioned tables, maintaining good clustering properties for frequently filtered dimensions is critical for partition pruning and query performance. Naive methods of maintaining good clustering is usually expensive, especially when the clustering dimensions are different from the natural...
Prasanna Rajaperumal
Developer @SnowflakeDB
Functional Composition
Marc Andreessen famously observed that "software is eating the world". As an increasing proportion of our culture becomes codified (literally), we need to consider how to authentically express theory and insights from diverse fields in our software. This must account for domains besides business...
Chris Ford
Technical Principal @ThoughtWorksESP
Using Quantum Computers to Simulate Chemistry
Quantum computing is unmistakably becoming a thing. With IBM’s announcement of their quantum computing cloud service at CES in January and Google’s announcement last year of their 72-qubit Bristlecone processor, suddenly quantum computing seems to be entering into the Enterprise. In this...
Peter Morgan
AI Community Leader & Founder and CEO Deep Learning Partnership
Speakers from this track
Jon Currey
Director of Research @HashiCorp
Jon leads HashiCorp's research initiatives, with the mandate to impact their open source tools and enterprise products, while contributing back to the community with novel work and pragmatic whitepapers. Prior to HashiCorp, Jon conducted research at Microsoft Research, Samsung Research, and...
Read moreFind Jon Currey at:
Nadia Alshahwan
Software Engineer @Facebook
Nadia Alshahwan is a Software Engineer in testing and verification at Facebook. She is part of the Sapienz automated testing team. Here main interests are automated test generation and automated oracles. Nadia received a PhD from UCL in web application testing. She also worked as a researcher in...
Read moreFind Nadia Alshahwan at:
Prasanna Rajaperumal
Developer @SnowflakeDB
Prasanna Rajaperumal is a senior engineer at Snowflake, working on Snowflake Databases' Query Engine. Before Snowflake, he worked on building the next generation Data infrastructure at Uber. Over the last decade, He has been building data systems that scale in Cloudera, Cisco and few other...
Read moreFind Prasanna Rajaperumal at:
Chris Ford
Technical Principal @ThoughtWorksESP
Chris began to make music with code to compensate for his poor piano technique. It was only later that he realised that programming offers deep insight into musical structures. Over the past few years, Chris has given many talks presenting music theory to programming audiences, covering topics...
Read more
Peter Morgan
AI Community Leader & Founder and CEO Deep Learning Partnership
Peter is author of the popular report, “Machine Learning is Changing the Rules: Ways Businesses Can Utilize AI to Innovate”, published by O'Reilly. He is passionate about artificial intelligence and the positive changes this technology can and is bringing to society. Peter founded...
Read moreFind Peter Morgan at:
Track Host
Sid Anand
Hacker at Large, Co-chair @QCon & Data Council, PMC & Committer @ApacheAirflow
Sid Anand recently served as PayPal's Chief Data Engineer, focusing on ways to realize the value of data. Prior to joining PayPal, he held several positions including Agari's Data Architect, a Technical Lead in Search & Data Analytics @ LinkedIn, Netflix’s Cloud Data Architect,...
Read more