Andres C Rodriguez

Andres C Rodriguez

Bridge Fellow (PostDoc) at Zurich / ETH Zurich


I am an AI-specialist with over 6 years of experience in developing cost-effective machine learning models for cost-effective and large-scale data applications. After finishing my PhD at ETH Zurich under the supervision of Prof. Konrad Schinlder and Prof. Jan D. Wegner, I led a tech startup for the past 1.5 years overseeing strategic development and innovations in the agriculture and ESG sectors. Collaborated with business partners on projects for large-scale crop and environmental monitoring using satellite images.

My technical developments include: (1) a pioneering application of generative models in physics; (2) highly accurate AI-models for image classification even when there is little to no training data samples; (3) an innovative technology for large-scale data analysis that reduces the labelling effort by 80%.

Born and raised in Colombia, I developed a broader perception of global challenges like sustainable development, biodiversity monitoring, poverty and human rights.

Outside of work I like to row with the Zurich Penguins, do CrossFit and meditate.

See my CV.

Contact: andrescamilor (at)

  • Machine Learning
  • Remote Sensing
  • Data Efficency
  • Sensor Fusion
  • Fine Grained Classification
  • Sustainability
  • ESG Risk Analysis
  • PhD in Photogrammetry and Remote Sensing, 2022

    ETH Zurich

  • Master in Science in Statistics, 2015

    ETH Zurich

  • BSc in Industrial Engineering, 2012

    Pontificia Universidad Javeriana


Apr 2022 – Present Zurich, Switzerland
  • Backend development environmental monitoring tools for yield estimation, deforestation and prototypes of biodiversity monitoring
  • Strategy and product development, customer acquisition and financial and resource planning
Research Assistant
Oct 2017 – Sep 2022 Zurich, Switzerland
  • Developed tool for mapping of more than 2 billion palm oil trees in south-east Asia with open access data.
  • Supervisor of several thesis and coordination of programming workflows. Relevant topics: Uncertainty estimation, deforestation detection and crop cocoa mapping
Research Assistant
ETH Zurich - Chair of Risk and Insurance Economics
Apr 2016 – Sep 2017 Zurich, Switzerland
  • Data processing with STATA and R
  • Statistical Analysis: Models for panel data using Logistic Regression, Hurdle models and Box-Cox Regression.
Research Assistant
Pontificia Universidad Javeriana - Faculty of Engineering
Apr 2016 – Sep 2017 Zurich, Switzerland
  • Joint Research Project with University of Washington, WA and Northeastern University, MA
  • Data processing with Labview, SAS and R.


(2023). Fine-Grained Species Recognition With Privileged Pooling: Better Sample Efficiency Through Supervised Attention. TPAMI.

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(2021). Robust Damage Estimation of Typhoon Goni on Coconut Crops with Sentinel-2 Imagery. Remote Sensing.

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(2021). Mapping Oil Palm Density at Country Scale: an Active Learning Approach. RSE.

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(2018). Fast cosmic web simulations with generative adversarial networks. Computational Astrophysics and Cosmology.

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