About me
I am a PhD Candidate in Statistics at Rice University. My research focuses on developing Bayesian models for multivariate data, working under the direction of Dr. Marina Vannucci. I am passionate about formulating innovative statistical methods to analyze different types of data, with a diverse range of applications, from healthcare to sports.
When I am not immersed in data and research, I love soccer –watching or playing– as well as exploring new places and taking pictures. Check out some of my travel photos here.
Research Interests
- Bayesian Modeling
- Machine Learning
- Statistical Computing
- Graphical Models
- Applied Statistics
My latest projects involve developing frameworks for estimating graphical models that identify relationships or dependencies between different mixed data types.
A list of projects can be found here.
Education
I completed my undergraduate studies in Bogotá, Colombia, earning a BS in Mathematics from Universidad Sergio Arboleda, with a tuition waiver scholarship. Additionally, I hold a BS in Statistics from the Universidad Nacional de Colombia, where I graduated with distinction (#1 class). In 2020, I was awarded a Fulbright scholarship to pursue my PhD at Rice University
Selected Experience
Data Scientist, 2019 - 2020
MincienciasData Analyst, 2017 - 2018
Universidad del RosarioLecturer
See the full list of courses here.
MOOCs
- Deep Learning. (DataCamp, 2024) [Certificate]
- Developing LLM. (DataCamp, 2024) [Certificate]
- R Developer. (DataCamp, 2024) [Certificate]
- Applied Data Science with Python Specialization - University of Michigan (Coursera, 2019) [Certificate]