David Dao
Co-Founder & Chief Scientist at GainForest.Earth
Zurich, Zurich, Switzerland
Summary
🤩
Rockstar🎓
Top SchoolDavid Dao is a Co-Founder and Chief Scientist who blends a decade-plus of research and engineering experience to build decentralized nature-tech solutions tackling climate and biodiversity loss across 53 communities worldwide. With a PhD in AI Systems from ETH Zurich and a publication record exceeding 2,000 citations, he co-led the XPRIZE-winning ETH BiodivX consortium and now directs scientific strategy at GainForest.Earth. He bridges academia and product: early open-source contributions to TensorFlow, a widely starred ethical AI repo (7k+ stars), and hands-on big-data work (Spark/SparkSQL exercises for ETH) underpin his practical tooling skills. David also leads economies and governance R&D at Protocol Labs, reflecting a rare mix of ML systems, decentralized tech, and impact-driven entrepreneurship. Colleagues describe him as a scientist who turns rigorous algorithms and data valuation methods into deployable, community-focused climate tech.
12 years of coding experience
6 years of employment as a software developer
Research Fellowship, Research Fellowship at University of California, BerkeleyBachelor of Science (B.Sc.) Computer Science, Bachelor of Science (B.Sc.) Computer Science at Karlsruhe Institute of Technology (KIT)Master of Science (M.Sc.) with Distinction Computer Science, Master of Science (M.Sc.) with Distinction Computer Science at Technical University of MunichDr. sc. ETH Zürich Computer Science, Dr. sc. ETH Zürich Computer Science at ETH ZürichVisiting Researcher, Visiting Researcher at Stanford University
Stackoverflow
2,471reputation
399kreached
3answers
0questions
python
top-5%
Github Skills (9)
data-transformation10
json10
spark-sql10
python9
data-preprocessing9
big-data9
nodejs6
javascript6
tensorflow6
Programming languages (13)
Github contributions (5)
RumbleDB/bigdata-exercises
Oct 2021 - May 2022
Exercises for the Big Data lecture at ETH Zurich (Fall 2021)
Role in this project:
Data Engineer
Data EngineerContributions:6 commits, 1 PR, 11 pushes in 7 months
Contributions summary:David appears to be involved in setting up and working with Big Data exercises, particularly focusing on Spark DataFrames and SparkSQL. Their work includes reading and parsing JSON data, demonstrating an understanding of data loading and preprocessing. The user also demonstrates knowledge of data manipulation, including selecting, filtering, and exploding data, indicating a focus on data transformation within a Spark environment.
falleth-zurichdata-sciencezurichmachine-learning
daviddao/exelixis
Aug 2014 - Nov 2016
Contributions:16 commits, 1 PR, 9 pushes in 2 years 3 months
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