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, IEX Cloud||2020-2021|
|J.P. Morgan||Vice President, Athena Research||2016-2020|
About me or my work
|Production Notebooks||JupyterCon 2020||link to presentation|
|Beyond Spreadsheets||NYC Data Council 2020||recording|
|JPMorgan’s requirement for new staff: coding lessons||Financial Times - 2018||link|
|JPMorgan’s Python training guide for analysts and traders||efinancialcareers - 2020||link|
I advise several startups in data analytics, data visualization, and finance/trading. Please contact if interested in my services
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 organizations including FINOS, J.P. Morgan, and IEX. I am a maintainer and contributor to several large scale open source organizations, most notably JupyterLab and Conda Forge.
I also maintain a number of hobby projects listed below.
Generative adversarial networks trained on fashion datasets
Asynchronous algo-trading framework in Python and C++
Hand-crafted, small-batch, barrel-aged cocktails