Cristóbal Esteban, MSc.
- cr_est@ ethz.ch
- +41 44 632 23 74
Department of Computer Science
Biomedical Informatics Group Universitätsstrasse 6
- CAB F52.1
I am interested in helping to cure diseases, improve people's health and extend the human lifespan by developing intelligent systems that can find and exploit complex dependencies in biomedical datasets.
I was a PhD candidate under the supervision of Prof. Volker Tresp at Ludwig Maximilians University of Munich. I also belonged to the Machine Intelligence group at Siemens AG in Munich. During this period I was also part of the EU Marie Curie International Training Network of machine learning for personalized medicine. Thanks to this network, I had the opportunity of visiting multiple research groups, including the Rätsch laboratory when it was based at Memorial Sloan Kettering Cancer Center in New York.
I have worked in several machine learning projects applied to medicine and I am especially interested in developing Deep Learning models, like Recurrent Neural Networks, and analyzing how to use them to find complex relationships in sequential multivariate biomedical datasets.