About Patrick Russo

I'm a data scientist/machine learning engineer based in New York and Co-Founder of OpenAxis.
I've worked at a few startups, including as a machine learning engineer at theMednet and a data scientist at Via Transportation. Before that, I was a Senior Research Analyst at the Federal Reserve Bank of New York (in the International Research Function) where I worked on macro-finance research. I graduated from Connecticut College in 2014, majoring in economics and mathematics (with a concentration in statistics).

My contact information is on the left, my projects and publications are below.

To avoid dealing with more HTML than needed, I'm going to start being lazy and posting some short posts on Medium. So far, the posts are just some random AWS notes or brief guides to do obscure AWS stuff - enjoy! https://medium.com/@patrusso2

Notes include:

Triggering a Lambda using SNS from a different Region in the Serverless Framework

Protect your single region API gateway using AWS WAF

Point Custom Domain to an AWS Gateway

Recent Research


AI-Powered Personalized Messaging for Recruitment
Top talent receives countless outreach from recruiters - mostly templated and irrelevant. Make your outreach stand out and hire top talent faster.
See ExpressAI

80-20 News

A platform to bring you 80% of the news in 20% of the time! Scraping 40k articles a day and producing abstractive summaries using PEGASUS.
See 80-20 News.
Or see the live demo (please bear with me, the prototype takes 10 seconds to load). Feed updated each morning.

Online Cookbook

It's not actually BERT, but Cooking With GPT-2 sounded a little more awkward... React and next.js on lambda
See Cooking With Bert here!

iOS app with python/lambda backend

I've been working on an iOS app with a python backend running on AWS Lambda. It uses serverless Aurora DB so it's entirely serverless and scalable.

I'm not talking much about the app - but have been posting some things that I've learned on Medium (see above!).

iOS Object Recognition

Trained CNN based on AlexNet in tensorflow, served predictions via Flask webserver. Designed basic Swift app to take photos, send to backend, and display predictions.

Twitter: Clustering with K-Means

I use Python to download tweets from 60+ news organizations, pundits, and politicians and cluster them automatically into ≈13 groups based upon the words in the tweet.  This is updated throughout the day (unless there is trouble with the internet connection).  More information can be found on the twitter page).

Description Results

Primary Debates: Live Transcripts

I have recently been working on building a speaker classifier to detect the identification of whoever is speaking.  This prediction is joined with the content prediction from the Google Speech API (so that I can predict what was said and who said it) to create a live transcript during debates.  This is still a work in progress, at this point I'm just posting it for fun, but it still needs more work.  

See the transcripts that were produced during the last several debates

New York Times Articles: Recommendation System

Using a tf-idf bag-of-words approach I use the pairwise comparisons between the text of all articles on a given day to determine the ranking of which articles would me most interesting to me.  

See the most recent article recommendations


Federal Reserve Bank of New York

Blog Posts

Lower Oil Prices and U.S. Economic Activity. With Jan Groen, Liberty Street Economics, May 2016.

Is Cheaper Oil Good News or Bad News for U.S. Economy? With Jan Groen, Liberty Street Economics, June 2015.

The Myth of First-Quarter Residual Seasonality. With Jan Groen, Liberty Street Economics, June 2015.

Falling Oil Prices and Global Saving. With Tom Klitgaard, Liberty Street Economics, June 2015.

Other Reports

Oil Price Dynamics Report -- a weekly oil price decomposition update (based on the blogs with Jan Groen) 

Global Economic Indicators  -- Developed an R script to produce PDF booklets of charts (20+ booklets, 600+ charts) on a daily basis (the link is just a public example)

American Institutes for Research

Gandhi, Allison Gruner, Rachel Slama, So Jung Park, Patrick Russo, Kendra Winner, Robin Bzura, Wehmah Jones, and Sandra Williamson. "Focusing on the Whole Student: An Evaluation of Massachusetts' Wraparound Zone Initiative." Journal of Research on Educational Effectiveness just-accepted (2017).

Connecticut College

Honors Thesis
Determinants of Undergraduate GPA and Persistence at Connecticut College, May 2014.
Supervised by Terry-Ann Craigie, Ph.D., Candace Howes, Ph.D., and John Nugent, Ph.D.

Teaching & Learning Newsletter, page 18. Connecticut College:
Peers, Academic Performance & Persistence Beyond the First Year, Spring, 2015.

Further Information & Contact Info:

View Patrick Russo's profile on LinkedIn

E-mail: hello@patrickrusso.net