Chang She is the co-founder and CEO of LanceDB, the company behind the open-source Lance columnar format and a database built for multimodal AI. A co-author of the pandas library alongside Wes McKinney, he spent nearly two decades building data tooling - from quant research at AQR to the DataPad startup (acquired by Cloudera) to VP of Engineering at Tubi - before setting out to replace the aging Parquet-and-Spark stack with what he calls the Multimodal Lakehouse. In June 2025 LanceDB raised a $30M Series A led by Theory Ventures, with adoption at Runway, Midjourney, and Character.ai.
Coiled is a lightweight cloud compute platform that lets Python users scale data science, machine learning, and AI workloads from a laptop to thousands of cloud machines without Docker or Kubernetes. Founded in 2020 by Matthew Rocklin, the creator of the open-source Dask library, Coiled runs inside a customer's own AWS, GCP, or Azure account, handling provisioning, autoscaling, environment replication, and cost visibility so data teams can run Dask clusters, serverless functions, and batch jobs with minimal friction.
Matthew Rocklin is the creator of Dask, the open-source library that lets ordinary Python scale across thousands of machines, and the co-founder and CEO of Coiled, a New York-based startup that turns that capability into a cloud product. A physicist-turned-computer-scientist, he spent years inside Anaconda and NVIDIA building the plumbing of the scientific Python world before raising venture money to make planetary-scale data processing feel as simple as importing a library. His software runs at NASA, Capital One, and the US Air Force; his blog reads like a field journal of open-source maintenance, startup life, and walking across Spain.