Biography
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 Kapok.ai 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) gmail.com
- 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
Experience
- 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
- 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
- Data processing with STATA and R
- Statistical Analysis: Models for panel data using Logistic Regression, Hurdle models and Box-Cox Regression.
- Joint Research Project with University of Washington, WA and Northeastern University, MA
- Data processing with Labview, SAS and R.
