Natalia Efremova, Co-Founder, CTO

I’m a co-founder at DeepPlanet.

My research focuses on applications of state-of-the-art machine learning (ML) methods and artificial intelligence (AI) for pursuing sustainable goals. This includes defining the areas where ML tools would be especially advantageous within targets related to climate change, sustainable agriculture, water and food scarcity, as well as monitoring progress towards market adoption of the new AI-based technologies for agri-tech industry.

I have over 20 years of experience in application of ML tools to real-world problems, both in industry and academia. I have Master’s degree in Natural Language Processing, PhD in Computer Science from the University of Kyoto (in Neural Networks for Computer Vision) and MBA from the University of Oxford.

Publications

Optimal use of Multi-Spectral Satellite Data with Convolutional Neural Networks | 2020 | Harvard CRCS AI for Social Good Workshop

SMArtCast: Predicting soil moisture interpolations into the future using Earth observation data in a deep learning framework | 2020 | ICLR Climate Change AI

AI-Based Evaluation of the SDGs: The case of crop detection with Earth Observation Data | 2019 | ICLR AI For Good WorkShop

Prediction of Soil Moisture Content Based On Satellite Data and Sequence-to-Sequence Networks | 2018 | NeurIPS

Autonomous monitoring of environmental condition and overgrazing in East-African rangelands through remote sensing | 2021 | NeurIPS

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