About Me

I am a Computational Neuroscientist. I did my PhD in Quantitative and Computational Biology in the lab of Ankit Patel’s group at Baylor College of Medicine and Rice University

Currently, I am interested in the problem of OOD generalization and the role of inductive bias. Particularly, I work 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: