David Dao

Principal Researcher, Protocol Labs

Principal Researcher, GainForest.Earth

Joined

February 2018

Names

David Dao (Preferred)

Emails

****@inf.ethz.ch (Confirmed)

****@gainforest.net (Confirmed)

****@hypercerts.org (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

Principal Researcher

Protocol Labs (protocol.ai)

2025 – 2027

Principal Researcher

GainForest.Earth (gainforest.net)

2023 – 2026

PhD student

ETHZ - ETH Zurich (ethz.ch)

2017 – 2023

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

OAM-TCD: A globally diverse dataset of high-resolution tree cover maps
Joshua Veitch-Michaelis, Andrew Cottam, Daniella Schweizer, Eben Broadbent, David Dao, Ce Zhang, Angelica Almeyda Zambrano, Simeon Max
- NeurIPS 2024 Track Datasets and Benchmarks Poster
- Readers: Everyone
Data Debugging with Shapley Importance over Machine Learning Pipelines
Bojan Karlaš, David Dao, Matteo Interlandi, Sebastian Schelter, Wentao Wu, Ce Zhang
- ICLR 2024 poster
- Readers: Everyone
GEO-Bench: Toward Foundation Models for Earth Monitoring
Alexandre Lacoste, Nils Lehmann, Pau Rodriguez, Evan David Sherwin, Hannah Kerner, Björn Lütjens, Jeremy Andrew Irvin, David Dao, Hamed Alemohammad, Alexandre Drouin, Mehmet Gunturkun, Gabriel Huang, David Vazquez, Dava Newman, Yoshua Bengio, Stefano Ermon, Xiao Xiang Zhu
- NeurIPS 2023 Datasets and Benchmarks Poster
- Readers: Everyone
Data Debugging with Shapley Importance over End-to-End Machine Learning Pipelines
Bojan Karlas, David Dao, Matteo Interlandi, Bo Li, Sebastian Schelter, Wentao Wu, Ce Zhang
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- CoRR 2022
- Readers: Everyone
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery
Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu
- Published: 01 Jan 2022, Last Modified: 24 May 2023
- AAAI 2022
- Readers: Everyone
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery
Gyri Reiersen, David Dao, Björn Lütjens, Konstantin Klemmer, Kenza Amara, Attila Steinegger, Ce Zhang, Xiaoxiang Zhu
- Published: 01 Jan 2022, Last Modified: 24 May 2023
- CoRR 2022
- Readers: Everyone
Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification?
Ruoxi Jia, Fan Wu, Xuehui Sun, Jiacen Xu, David Dao, Bhavya Kailkhura, Ce Zhang, Bo Li, Dawn Song
- 2021 (modified: 11 Oct 2021)
- CVPR 2021
- Readers: Everyone
Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark
Alexandre Lacoste, Evan David Sherwin, Hannah Kerner, Hamed Alemohammad, Björn Lütjens, Jeremy Irvin, David Dao, Alex Chang, Mehmet Gunturkun, Alexandre Drouin, Pau Rodríguez, David Vázquez
- 2021 (modified: 24 Apr 2023)
- CoRR 2021
- Readers: Everyone
Challenges in KDD and ML for Sustainable Development
Laure Berti-Équille, David Dao, Stefano Ermon, Bedharta Goswami
- Published: 01 Jan 2021, Last Modified: 12 May 2023
- KDD 2021
- Readers: Everyone
Ease.ML: A Lifecycle Management System for Machine Learning
Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Gürel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Xi Rao, Johannes Rausch, Cédric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang
- Published: 01 Jan 2021, Last Modified: 12 May 2023
- CIDR 2021
- Readers: Everyone

View all 23 publications

Co-Authors

View all 88 co-authors