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 |
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 | slides / files | |
Jupyter Notebooks for Print Media | PyCon DE / PyData Berlin 2024 | slides | |
High Performance Data Visualization for the Web | PyCon DE / PyData Berlin 2024 | slides / files | |
Building FPGA-based Machine Learning Accelerators in Python | PyCon US 2024 | slides | |
Visualizing Live Data Pipelines | JupyterCon 2023 | slides | |
Production Notebooks | JupyterCon 2020 | recording / slides | |
Beyond Spreadsheets | NYC Data Council 2020 | recording | w/ Jeff Sternberg (@sternb0t) Technical Director Google |
JPMorgan's Python training guide for analysts and traders | efinancialcareers - 2020 | link | |
JPMorgan's requirement for new staff: coding lessons | Financial Times - 2018 | link |