Moritz Hardt

I'm a director at the Max Planck Institute for Intelligent Systems. Prior to joining the institute, I was Associate Professor for Electrical Engineering and Computer Sciences at the University of California, Berkeley. My research contributes to the scientific foundations of machine learning and algorithmic decision making with a focus on social questions.

Contact

Writing

• For papers and preprints, see: arXiv, Google Scholar, Lab page
• Books:
  • The emerging science of machine learning benchmarks
  • Fairness and machine learning: Limitations and opportunities with Barocas and Narayanan
  • Patterns, predictions, and actions: A story about machine learning with Recht
• Expository articles:
  • Performative Prediction: Past and Future with Mendler-Dünner
• Lecture notes:
  • Graduate optimization, UC Berkeley (EE 227C)
• Software: folktables, folktexts, whynot, unbuch, PrivateMultiplicativeWeights.jl
  See the Social Foundations GitHub page for a more complete list.

Open positions

I'm actively recruiting postdocs at the Max Planck Institute. If you're interested, please reach out at sf-admin@is.mpg.de.

Prospective PhD students, please apply through one of the following programs:

• ELLIS PhD program
• International Max Planck Research School for Intelligent Systems (IMPRS-IS)
• Max Planck ETH Center for Learning Systems

Current and former team members

Current PhD students

Nikhil Chandak, André Cruz, Ricardo Dominguez-Olmedo, Florian Dorner, Mila Gorecki, Vivian Nastl, Mina Remeli, Ali Shirali, Jiduan Wu, Sierra Wyllie, Guanhua Zhang

Graduated PhD students

Frances Ding (PhD 2024), Chloe Hsu (PhD 2023), Lydia T. Liu (PhD 2022), John Miller (PhD 2022), Smitha Milli (PhD 2022), Juan C. Perdomo (PhD 2023), Yu Sun (PhD 2023), Tijana Zrnic (PhD 2023)

Interns

Yair Carmon (2017), Sílvia Casacuberta Puig (2024), Gary Cheng (2022), Roy Frostig (2016), Tengyu Ma (2015), Olawale Salaudeen (2023), Mary Wootters (2014), Chiyuan Zhang (2016)

Postdocs and group leaders

Current activities and affiliations

• Neurips 2023 program co-chair
• University of Tübingen, Honorary Professor
• Tübingen AI Center, Steering Committee
• ELLIS Society, Fellow
• Cluster for "Machine Learning for Science", Member
• Action editor for JMLR

Conflict of Interest Disclosure

• Corporate research funding (unrestricted/gift): Twitter (2019 and 2020, administered through UC Berkeley)
• Consulting agreements: Google (20%, 2017--2019), Twitter (20%, 2019--2021)
• Full-time employment: IBM 2013--2015, Google 2015--2017