Paola Oliva-Altamirano

  • Principal Data Scientist
  • Innovation Lab, Our Community/SmartyGrants

Paola Oliva Altamirano is a principal data scientist at Innovation Lab, Our Community/SmartyGrants.  A research scientist trained in astrophysics, she is currently working on data science projects to help Australian not-for-profit organisations. As a data scientist with the SmartyGrants Innovation Lab, Paola designs algorithms to improve our understanding of social sector data, with the goal being to facilitate human-centred AI solutions.

Paola graduated from Physics in Honduras and later did a PhD and Post-Doc in Astrophysics at Swinburne University of Technology. She transitioned to do Data Science with SmartyGrants in 2018. In 2016 she co-funded the Organisation “Astrophysics in Central America and the Caribbean (Alpha-Cen)” to support students in developing countries pursue careers in science. She currently is Alpha-Cen’s Vice-President.


  • Metrics in the wild! How to deal with biases when building auto-classification systems

    When designing auto-classification systems we often trust standard metrics in-built in Machine Learning models. How much do you trust them? Or in other words, to which extent do these scores reflect the success of your algorithm? Knowing your data, the decisions that your model will influence, and the role that scoring plays in enhancing or […]