NYC Data #332: NYC Open Data Week, Liver Transplant Matching, Efficiently Optimizing Models, Aflac, JetBlue, Ralph Lauren, Google Scholar
Hi friends: unbelievably we’re less than a week from Thanksgiving! I hope you all get to spend some time with loved ones over the coming weeks. One other exciting note: the Call for Proposals for NYC Open Data Week is up through December 15!
As always, help me keep this space up-to-date: please send me posts, events, and job openings. [image credit: Wally Gobetz]
Good Local Posts
Ray has started coming up in my conversations with peers more and more. Here’s a good overview from Paul Yang & Donny Greenberg of Runhouse.
I’ve been super interested in the Algorithms behind Organ Donation for some time now (I previously posted this talk). Arvind Narayanan, Sayash Kapoor et al wrote about the UK’s liver transplant matching algorithm excluding younger patients and what went wrong.
Good technical post form Mike Purewal on efficiently optimizing models with LORA and Weights & Biases (I was not as familiar with the latter but seems somewhat intuitive).
Upcoming In-Person Events (new listings in bold)
11/27: NewYork Machine Learning Meetup - Understanding Entropy
12/3: ML Feature Lakehouse: Building Petabyte-Scale Data Pipelines with Iceberg
12/10: Unstructured Data in LLMs
12/10: Graphs and Vectors in SurrealDB: Part 2
12/11: Unwrapping Data Streams with Lenses.io and Stream
12/12: AI Meetup (December): GenAI, LLMs, and RAG
Open Roles
Squarespace is hiring for several data roles, including a Manager, Marketing Channel Analytics and Operations and a Marketing Analyst.
One Brooklyn Health is looking for a Data Analyst (Population Health Management).
JetBlue is hiring a Senior Analyst, Crew Pairing Optimization. (!!)
Ralph Lauren is seeking a Senior Data Science Manager.
Aflac is hiring a VP, Quantitative Analytic Solutions.
Miscellany
Google Scholar is 20! Some fun trivia about the product and story of its founding.
Andrew Gelman incongruously compared The Village Voice (of old) to blogging. I don’t think I agree with the comparison, but it did bring back a bunch of memories of reading The Village Voice as a student in the early 00’s, and occasionally seeing classmates written up (some of my favorite stories). It also reminded me of another way blogs & old papers are similar: their ephemerality. Historical records of the early web and papers are incomplete and hard to come by: I actually was looking up something in the Voice from 2001 recently and could not get the specific thing I was looking for, even at the NYPL!
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