Hello

Experience

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
	MayStreet	Software Engineer	2015-2016

Media

About me or my work

High Performance Data Visualization for the Web	PyCon Italia 2024	link to presentation, files
Jupyter Notebooks for Print Media	PyCon DE / PyData Berlin 2024	link to presentation
High Performance Data Visualization for the Web	PyCon DE / PyData Berlin 2024	link to presentation, files
Building FPGA-based Machine Learning Accelerators in Python	PyCon US 2024
Visualizing Live Data Pipelines	JupyterCon 2023	link to presentation
Production Notebooks	JupyterCon 2020	link to presentation
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

Advising

I advise several startups in data analytics, data visualization, and finance/trading. Please contact if interested in my services

Tutoring

Please see my tutoring page for more information.

Teaching

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.

Projects

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.