I am currently a 5th year PhD student in the statistics department at the University of Michigan, where I am advised by Prof. Ambuj Tewari.

I previously worked as Senior Analyst at BBVA Mexico, where I worked on developing structured investment products using fixed income financial derivatives.

I graduated from the Actuarial Science major at UNAM in 2016.

Research Interest

I am broadly interested in theory and application of machine learning. Particularly, I am interested in the bandit problem and uncertainty quantification using conformal prediction. In the past, I have also worked with hidden Markov models.

Projects

• During the 2022 summer, I had the opportunity to collaborate with Prof. Edward Ionides, Mercedes Pascual and Rahul Subramanian analyzing data from an outbreak of dengue in Rio de Janeiro during 2012 and 2013. We applied particle filter approaches to fit and make inference for the models developed by Rahul Subramanian.
• Currently, I am part of the project Measuring, Modeling, and Mapping Microplastics in the Atmosphere of Michigan (M4AM).

Publications

• Enhancing Confidence in Microplastic Spectral Identification via Conformal Prediction
• Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation

Preprints

• Optimal Thresholding Linear Bandit
• Near Optimal Pure Exploration In Logistic Bandits