About

Matthew is an open-source software developer in the numeric Python ecosystem. He maintains several PyData libraries, but today focuses mostly on the Dask library for scalable computing. Matthew worked for Anaconda Inc for several years, then built out the Dask team at NVIDIA for RAPIDS, and most recently founded Coiled Computing to improve Python’s scalability with Dask for large organizations. Matthew has given talks at a variety of technical, academic, and industry conferences. A list of talks and keynotes is available at matthewrocklin.com/talks. Matthew holds a bachelor’s degree from UC Berkeley in physics and mathematics, and a Ph.D. in computer science from the University of Chicago. You can learn more about Matt on his website and blog.

Hugo Bowne-Anderson is Head of Data Science Evangelism and VP of Marketing at Coiled. He has extensive experience as a data scientist, educator, evangelist, content marketer, and data strategy consultant, in industry and basic research. He also has experience teaching data science at institutions such as Yale University and Cold Spring Harbor Laboratory, conferences such as SciPy, PyCon, and ODSC, and with organizations such as Data Carpentry. He is committed to spreading data skills, access to data science tooling, and open-source software, both for individuals and the enterprise.

Rami Chowdhury heads product engineering at Coiled and is currently based in Washington, D.C., USA. Early forays into policy-making and sustainability taught him the value of empowering people, and he’s been building communities ever since. He’s founded two startups and built teams from scratch at three more, most recently running a Labs team that introduced the impact of machine learning to travel agents. He also continues to bring open-source communities together as a Python Software Foundation Fellow and core organizer of PyCon North America. He’s looking forward to a world where everyone has the tools and the empathy to make change using the data at their fingertips. On top of his extensive experience in technology and community development, he has enjoyed dad jokes his entire life. Ex: The difference between the numerator and denominator is a short line – but only a fraction of people understand it!

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Jasmine Sandhu contributes as a software engineer in the engineering team. She studied rocket science (Aerospace Engineer) and over time, found her way into software engineering. She enjoys applying all her skills towards diverse problems, but especially interested in science and mathematics. She is motivated by Coiled’s deep roots in the F/OSS community as well as the application of the PyData stack in the scientific, research, and academic community.

Adam Breindel is a consultant, instructor, and advisor on data engineering and machine learning. He has served as a senior instructor at Databricks, created and taught classes on numerous data and ML topics for O’Reilly, and brings real-world experience obtained in consulting on Apache Spark, Dask, ML, and data architecture for startup and enterprise clients.

Adam’s first full-time job in tech was on neural-net-based fraud detection deployed at North America’s largest banks. After that, he worked with numerous startups where he enjoyed getting to build things like mobile check-in for 2 of America’s 5 biggest airlines. His work includes web, embedded, and server apps as well as APIs and streaming analytics.

Marcos is a software engineer with +15 years of experience. He spent most of those building websites with different Python frameworks and tools for other engineers. He is particularly interested in good web development practices, a bit of infrastructure, Open Source, and everything Python-related.

Alex is a software engineer building an intuitive and smooth interactive experience for Coiled Cloud users. As both a translator and developer, she strives to combine the languages of man and machine to make the digital world she was raised in an empowering and accessible space for all. When she’s not wrangling code, she’s out enjoying the sun, petting cats, and catching Pokémon.

Ian has been a geologist, software engineer, and data scientist. He is a Jupyter core developer and has worked to make software tools more accessible to academics, the public sector, and private companies alike.

Christiana graduated from the University of Michigan in Ann Arbor in May of 2020, where she received her degree in Organizational Studies with concentrations in Technology Culture and Entrepreneurship. She has been working with startups for over four years and is particularly interested in democratizing technology for underrepresented communities. Christiana was born and raised in San Diego, CA and is currently based in Brooklyn, NY.

Sheer is a seasoned machine learning engineer with research-level knowledge of modern ML (particularly NLP), a tenured academic (on leave), and a system architect with extensive experience in distributed systems & high-performance computing. His background combines strong academic credentials with 16+ years of software development experience, including lead roles developing and deploying enterprise software in mission-critical settings. More recently, he founded a startup, Lore Ai, applying NLP to optimize business processes. In his academic career, Sheer engaged in highly visible and influential research in both String Theory and Critical Phenomena at preeminent European research institutes where he was awarded several prestigious grants. In recent years his interests have veered towards machine learning and system architecture.