My background is building high performance, full stack applications for front office business users and developers, focusing on streaming data, analytics, and machine learning.
You can find my resume here.
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Point72 - Cubist | Central Research Team | 2022- |
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Columbia University | Associate in Computer Science | 2015- |
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IEX | Head of Software Engineeering, Cloud | 2020-2021 |
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J.P. Morgan | Vice President, Athena Research | 2016-2020 |
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MayStreet | Software Engineer | 2015-2016 |
I have taught in the Computer Science department at Columbia University since 2015. More information is available on my Columbia website.
| High Performance Data Visualization for the Web | PyCon Italia 2024 PyCon DE / PyData Berlin 2024 PyData Paris 2024 |
recording / slides / files |
| Jupyter Notebooks for Print Media | PyCon DE / PyData Berlin 2024 | slides |
| Building FPGA-based Machine Learning Accelerators in Python | PyCon US 2024 | recording / slides |
| Streaming Cross-sectional Visualization with Perspective w/ Tim Bess (@timbess) |
Databricks Data + AI 2024 | slides |
| Visualizing Live Data Pipelines | JupyterCon 2023 | slides |
| Production Notebooks | JupyterCon 2020 | recording / slides |
| Beyond Spreadsheets w/ Jeff Sternberg (@sternb0t) |
NYC Data Council 2020 | recording |
| JPMorgan's Python training guide for analysts and traders | efinancialcareers - 2020 | link |
| JPMorgan's requirement for new staff: coding lessons | Financial Times - 2018 | link |