Bio

Ethan Rosenthal lives in New York City and works at Runway. Prior to Runway, he worked in big tech, freelance consulted, and worked at some startups. Before working in tech, Ethan got a PhD in Physics from Columbia University building atomic-resolution microscopes to study superconductors.

Contact

I prefer email: hello at ethanrosenthal dot com

You can also find me on GitHub, Twitter, Mastodon, Bluesky, and LinkedIn. For the love of god, don’t contact me on LinkedIn.

Speaking

Having suffered through years of dry physics talks during my academic days, I’m on a mission to give data science talks that are engaging and interesting while still delivering technical insights for the audience.

• Ethan Rosenthal and the M1 misadventure, NormConf, (slides, video).
• Navigating the Full Stack of Machine Learning, Outerbound Fireside Chat 2022.
• Let’s Continue Bundling into the Database, MLOps Community Podcast 2022.
• Closing the Loop: Automated Model Retraining and Deployment, TWIMLCon 2022, (slides)
• Beyond Static Open Data: A Citi Bike Time Series Case Study, NYC Open Data Week 2022, (video, slides)
• Time series for scikit-learn people, PyData NYC 2019, (slides)
• Continuous Approximation: From Physics to Data Science, JMU Physics Dept 2019, (slides)
• Model Remodeling with Modern Deep Learning Frameworks, SciPy 2019 (video, slides)
• Empowering the Humans in the Loop by Synthesizing Machine Learning and Optimization, Texas AI Summit 2019
• Making the Machines Work for Us, Machine Learning Innovation Summit 2018
• Scaling Personalization via Machine-Learned Assortment Optimization, DataEngConf 2018 (video, slides)
• Diving into the deep end of clothing styles, PyData 2017 (video, slides)

Other Writings

Dia&Co Blog

I used to write for Making Dia the Dia&Co technical blog. Below are my articles, ordered by their popularity at the time of writing this:

• Hiring Data Scientists: A Classification Problem
• Embedding Everything for Anything2Anything Recommendations
• Scope the Solution before Solving the Machine Learning
• Reducing New Office Anxiety with a New Citi Bike Dataset
• 5 Data Tips for Machine Learning in Production
• Optimization in Sickness and in Health

Academic

If you’re having trouble getting to sleep, then knock yourself out on my papers from grad school.

• Visualizing nematicity in the pnictides with scanning tunneling spectroscopy (thesis)
• Visualization of electron nematicity and unidirectional antiferroic fluctuations at high temperatures in NaFeAs (article, arXiv)
• Visualizing the Nonlinear Coupling between Strain and Electronic Nematicity in the Iron Pnictides by Elasto-Scanning Tunneling Spectroscopy (arXiv)
• Visualizing the charge density wave transition in 2H-NbSe2 in real space (article, arXiv)
• Quasiparticle Interference, Quasiparticle Interactions, and the Origin of the Charge Density Wave in 2H−NbSe2 (article, arXiv)
• Emergent surface superconductivity in the topological insulator Sb2Te3 (article, arXiv)
• Experimental Evidence for a Bragg Glass Density Wave Phase in a Transition-Metal Dichalcogenide (article, arXiv)
• Flicker Noise as a Probe of Electronic Interaction at Metal–Single Molecule Interfaces (article)