diff --git a/README.rst b/README.rst
index ec1af2c3be99aae4bf04a312ab7d87482254857e..61875e69e70853ad5d6ba107d8ae36086f6917ef 100644
--- a/README.rst
+++ b/README.rst
@@ -167,8 +167,9 @@ Generate a synthetic database
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 Finally, the script `./bin/generate_db.py` can be used to generate synthetic databases with semantic face variations, using the computed latent directions.
 Use `./bin/generate_db.py --help` to get more info on the required configuration values. We provide 3 preset configurations:
-* `synmultipie` which reproduces the Syn-Multi-PIE dataset used for benchmark experiments in the article
-* `uniqueness_ict` & `uniqueness_no_ict` which reproduce the datasets containing only references that are used for the identity uniqueness experiment.
+
+  * `synmultipie` which reproduces the Syn-Multi-PIE dataset used for benchmark experiments in the article
+  * `uniqueness_ict` & `uniqueness_no_ict` which reproduce the datasets containing only references that are used for the identity uniqueness experiment.
 
 This script is also using StyleGAN2 and thus should be ran on a node with GPU access.
 The generation of the references cannot be ran in parallel (due to the application of the ICT constraint which requires a comparison between every reference) but the creation of the
@@ -202,7 +203,9 @@ Contact
 
 For questions or reporting issues to this software package, contact our
 development team by asking your question on `stackoverflow`_  and with the tag *python-bob*.
+You can also contact the first author at 
 
+.. _Laurent Colbois: laurent.colbois@idiap.ch
 
 .. Place your references here:
 .. _bob: https://www.idiap.ch/software/bob