The Talent Community for Data Geeks

Adam has a PhD in physics and has spent the past several years doing data science at BuzzFeed. He's now heading Barclays's research data science team, and teaching applied causal inference in Columbia's data science institute.

Spoke at NYC '18

Andreas Mueller is a lecturer at the Data Science Institute at Columbia University and author of the O'Reilly book "Introduction to machine learning with Python", describing a practical approach to machine learning with python and scikit-learn. He is one of the core developers of the scikit-learn machine learning library, and has been co-maintaining it for several years. He is also a Software Carpentry instructor. In the past, he worked at the NYU Center for Data Science on open source and open science, and as Machine Learning Scientist at Amazon.

Spoke at NYC '17, NYC '18

Wes McKinney is an open source software developer focusing on data processing tools. He created the Python pandas project and has been a major contributor to many other OSS projects. He is a Member of the Apache Software Foundation and a project PMC member for Apache Arrow and Apache Parquet. He is the director of Ursa Labs, an innovation lab for open source data science tools powered by Apache Arrow.

Spoke at BCN '18, NYC '16

Joseph Gonzalez is a 6th year PhD student in Dr. John Gilbert's CSC lab here at UCSB. His areas of interest include graph theory, scientific computing, and high performance computing.

Matei is an Assistant Professor of Computer Science at Stanford and Chief Technologist at Databricks. During his PhD, he started the Apache Spark computing engine and developed other widely used open source software including Apache Mesos, Alluxio and job schedulers for Apache Hadoop. Today, he also works on MLflow (https://mlflow.org), an open source machine learning platform from Databricks.

Spoke at SF '17

Maxime Beauchemin recently joined Airbnb as a data engineer developing tools to help streamline and automate data-engineering processes. He mastered his data-warehousing fundamentals at Ubisoft and was an early adopter of Hadoop/Pig while at Yahoo in 2007. More recently, at Facebook, he developed analytics-as-a-service frameworks around engagement and growth-metrics computation, anomaly detection, and cohort analysis. He’s a father of three, and in his free time, he’s a digital artist.

Spoke at SF '17, SF '18

Andy is Assistant Professor of Databaseology in the Computer Science Department at Carnegie Mellon University. His research interest is in database management systems, specifically main memory systems, self-driving / autonomous architectures, transaction processing systems, and large-scale data analytics. At CMU, he is a member of the Database Group and the Parallel Data Laboratory.

Spoke at NYC '16

Raffi Krikorian is the Chief Technology Officer of the Democratic National Committee, where he is focusing on building foundational technology at the DNC, empowering the technology ecosystem around the Democrats, and equipping candidates up and down the ballot. Raffi has extensive technology and management experience—he has built teams of hundreds of engineers globally, and has managed technology platforms that have touched hundreds of millions of people. At Twitter, Raffi served as the VP of Engineering. In this role, he was in charge of Twitter’s platform, and made Twitter reliable and available to the entire world. Prior to joining the DNC, Raffi served as the overall Director of Uber’s Advanced Technology Center where he led the team that built and launched the first-ever self-driving fleet of cars into the world.