Teaching

Teaching and mentoring

University-level teaching in data science, statistics, computation, and astronomy.

I am a professor at the Universidad Nacional de Cordoba, working at the Observatorio de Cordoba. I am currently head of the Data Science course in the Applied Mathematics department.

20 years University teaching experience
Data Science Head of the Data Science course
Mentoring PhD and undergraduate supervision
Outreach Public talks and educational material

Academic Training

PhD in Astronomy

Universidad Nacional de Córdoba, 2003–2009. Thesis: Low-luminosity satellite galaxies. Advisor: Diego García Lambas.

Licenciado in Astronomy

Universidad Nacional de Córdoba, 1997–2003. Thesis: Dynamics of galaxies in groups.

Chemical Technician

Instituto El Obraje, Alta Gracia, Córdoba.

Courses

Complementary Education

2022: DevOps with GitLab, Platzi.

2021: AWSome Day, Amazon.

2020: Ley Micaela training, INAP.

2014: Scientific Programming with Python, Observatorio Astronómico de Córdoba.

2010: High Performance Computing: Models, Methods and Means, Louisiana State University.

2000–2008: postgraduate courses in high-redshift cosmology, statistics and stochastic processes, numerical methods, first structures, quasar absorption lines, and gravitational lensing.

Previous Teaching

Metodos numericos Probabilidad y estadistica Modelos y simulacion Aprendizaje no supervisado Introduccion a la Fisica Algebra II

Invited Lectures

The transient universe and the TOROS project. Elementos de astronomia, Universidad Andres Bello, 2020. Slides and videos

Fundamentos teoricos de las cadenas de Markov Monte Carlo. Curvas de luz en estrellas binarias y efectos en los tiempos de transitos, Universidad Nacional de Cordoba, 2020. Slides, video, and notebooks

Mentoring and Evaluation

Students

Advisor and mentor for Vanessa Daza Perilla and Federico Dávila Kurbán (PhD), Heliana Luparello (undergraduate thesis), and Bruno Sánchez (research-initiation fellowship).

Advisor to CONAE researcher Juan Bautista Cabral and co-advisor to CONAE researcher Laura Baravalle since 2022.

Evaluation

Peer-review evaluation for CONICET research career positions and member of teaching-position and thesis evaluation committees.