Developer, NYC
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.
Point72 - Cubist | Central Research Team | 2022- | |
Columbia University | Associate in Computer Science | 2015- | |
IEX | Head of Software Engineeering, Cloud | 2020-2021 | |
J.P. Morgan | Vice President, Athena Research | 2016-2020 | |
MayStreet | Software Engineer | 2015-2016 |
About me or my work
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 | recording / 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 | recording / 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 |
I advise several startups in data analytics, data visualization, and finance/trading.
Please see my tutoring page for more information.
I have taught in the Computer Science department at Columbia University since 2015. Topics include introductory/intermediate core computer science fundamentals in C, C++, and Python, as well as topics courses in computer hardware fundamentals and open source development methodologies. Please visit my Columbia Computer Science homepage for more information.
My actively developed projects can be found on my GitHub.
I maintain projects in various GitHub organizations including Point72, FINOS, and J.P. Morgan. I am a maintainer and contributor to several large scale open source organizations, most notably JupyterLab and Conda Forge.