About Me

I am a Computational Neuroscientist. Currently, I am a Wu Tsai Fellow working in the labs of Prof. Jessica Cardin and Prof. David van Dijk at Yale University. I work developing computational models of spatiotemporal data, particularly working on developing Attention-Based Neural Integral Equations models to analyze spontenaous and behavior-driven neural responses and its relationship to different brain states in mouse.

Previously, I did my PhD in Quantitative and Computational Biosciences in the lab of Ankit Patel’s group at Baylor College of Medicine and Rice University. I worked in the problem of OOD generalization and the role of inductive bias. Particularly, I workrf on understanding how different model parametrizations can induce different implicit regularizers during training, and if this regularizer produce models that generalize better to random and adversarial noise. In addition, I work on understanding neurally consistent neural networks, which are trained to maximize similarity to neural recordings.

I was previously a research technician at Harvard University. I obtained my undergraduate degree from Universidad Peruana Cayetano Heredia in Lima, Peru. I am very grateful to have worked under some excellent mentors:

• Gabriel Kreiman, Harvard University

• Andreas Tolias, Baylor College of Medicine