Daniel Garber on Muck Rack

Daniel Garber

Brooklyn, New York
As seen in: Filmmaker Magazine, IMDb, Medium, MDPI, Letterboxd, Towards Data Science, No Film School, Documentary Magazine, rssing.com
Filmmaker, ice cream enthusiast, Gowanus swamp creature
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Daniel

Contact Daniel, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

What’s on My Desk: Daniel Garber

|
By Daniel Garber
| Documentary Magazine Verified
Daniel Garber. Photo by Lance Oppenheim. All images courtesy of the writer The editor of Spermworld and How to Blow Up a Pipeline on valuing portability and good sound What’s on My Desk is Documentary’s strand of photo spotlights of the setups that help create the stories of our times. For these pieces, we ask editors in the field for essential tools of the trade and the accessories that help us do our best work.
Open in Who Shared Issue with article?

How I Won the “Mostly AI” Synthetic Data Challenge

|
By Daniel Garber
| Towards Data Science
I in the Mostly AI Prize and won both the FLAT and SEQUENTIAL data challenges. The competition was a fantastic learning experience, and in this post, I want to provide some insights into my winning solution. The goal of the competition was to generate a synthetic dataset with the same statistical properties as a source dataset, without copying the data. The competition was split into two independent challenges: FLAT Data Challenge: Generate 100,000 records with 80 columns.
Open in Who Shared Issue with article?

Increasing the Accessibility of Causal Domain Knowledge via Causal Information Extraction Methods: A Case Study in the Semiconductor Manufacturing Industry

|
By Daniel Garber, Roman Kern, Houssam Razouk, Leonie Benischke
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Open in Who Shared Issue with article?
See all 12 articles
 •  Privacy  •  Terms  •  Security and Legal  •   •   •   • 

© 2026 Muck Rack

SOC 2® Certified