EE Welcomes New Faculty Member Micah Goldblum

Please join us in welcoming Prof. Micah Goldblum to the Columbia University EE department. 

Xintian Tina Wang
June 03, 2024

We are thrilled to announce that Micah Goldblum has joined Columbia University as an Assistant Professor in the Department of Electrical Engineering. Dr. Goldblum's research focuses on deep learning, with an emphasis on building safe AI systems and employing mathematical tools to understand the intricacies of how and why deep learning functions effectively.

Dr. Goldblum's impressive research portfolio spans various domains, including Bayesian inference, generalization theory, algorithmic reasoning, and AI security, privacy, and fairness. His work is frequently featured at top-tier conferences such as NeurIPS, ICLR, ICML, and CVPR. Notably, in 2022, he was honored with the ICML Outstanding Paper Award.

Before joining Columbia University, Dr. Goldblum was a postdoctoral research fellow at New York University, where he worked with renowned AI experts Yann LeCun and Andrew Gordon Wilson. He earned his Ph.D. in Mathematics from the University of Maryland under the mentorship of Tom Goldstein and Wojciech Czaja.

Selected Publications:

  • NeurIPS 2023 Oral Presentation: In this study, Dr. Goldblum and his team discovered that bias originates from neural network architectures rather than training data. They utilized neural architecture search to design the most fair face identification systems to date. Read more.
  • ICML 2022 Outstanding Paper Award: This paper highlights several reasons why the marginal likelihood can fail to predict generalization and proposes a simple modification that aligns much better with generalization across various use cases. Read more.
  • ICML 2024 Accepted Paper: Dr. Goldblum argues that real-world data and machine learning models share a common notion of simplicity, which is the cornerstone of the success of general-purpose foundation models. Read more.

For more information on Dr. Goldblum's work and contributions to the field, please visit his personal website, Google Scholar profile, and follow him on Twitter.

Please join us in welcoming Dr. Micah Goldblum to the EE community. We look forward to the significant contributions he will undoubtedly bring to our department and the broader field of electrical engineering.