Machine learning lab at Columbia University. Probabilistic modeling and approximate inference, embeddings, Bayesian deep learning, and recommendation systems.
I am on the academic job market this year! My research advances probabilistic machine learning and its application to biology. I'm looking for faculty positions in stats/CS/applied math and in bio departments.
Academic website: eweinstein.github.io/
New paper from @blei_lab member @EliWeinstein6 on manufacturing samples from generative protein models. The idea is to approximate a complex distribution with simpler ones that are easy to sample from in the real world, using stochastic chemical reactions.x.com/EliWeinstein6/status/1…
Excited to announce that ML-NYC is back this semester. Our first speaker is Bin Yu from UC Berkeley on Monday Sept 23rd 4pm. Register here: eventbrite.com/e/ml-nyc-spea…
We're excited to welcome Daniel Lee as our next speaker on Wednesday September 20th at 4pm!
The event will be followed by a happy hour hosted by the Flatiron Institute
Register here: eventbrite.com/e/ml-nyc-spea…
Belated updates:
1- I defended my PhD in May! Big thank you to my committee and especially to my advisor, @blei_lab.
2- I'm excited to start a postdoc at Harvard! Very grateful to @harvard_data for the opportunity.
Thrilled to share that the "Spurious Correlations, Invariance, and Stability" workshop is returning to @ICML2023 this year!
Submit your work (by May 23) on all things spurious correlations! See full CFP in
sites.google.com/view/scis-w…
We're excited to welcome Léon Bottou as our next speaker on Monday April 24 at 4pm!
Title: Pseudo-Euclidean Attract-Repel Embeddings for Undirected Graphs
Register here: eventbrite.com/e/ml-nyc-spea…
1/ I had the opportunity to join the @DataSkeptic podcast to discuss CAREER, a method that uses transfer learning to model career trajectories. This is a project I've been working on with @blei_lab and @Susan_Athey's group. Thank you for having me on!
open.spotify.com/episode/7tZ…