Curriculum Vitae

Education, research experience, honors, invited talks, teaching, and community service.

Education
Ph.D., Quantitative and Computational Biosciences 2016 – 2022
Baylor College of Medicine, Houston, TX
Advisor: Prof. Ankit Patel
B.Sc., Biology & Applied Mathematics 2010 – 2014
Universidad Peruana Cayetano Heredia, Lima, Peru
Advisor: Mirko Zimic · GPA: 4.0
Experience
Postdoctoral Associate 2025 –
Department of Neuroscience, Yale University, CT
Mentor: Prof. Jess Cardin
Wu Tsai Fellow 2022 – 2025
Wu Tsai Institute, Yale University, CT
Mentors: Prof. Jess Cardin & Prof. David van Dijk
Honors & Awards
Champalimaud Research Symposium — Best Talk & Travel Award 2025
Wu Tsai Postdoctoral Fellowship 2022 – 2025
International Conference on Machine Learning — Travel Award 2020
Best Poster Award — QCB PhD Retreat 2019
Quantitative and Computational Biosciences, Baylor College of Medicine
Fondo de Mobilidad Estudiantil — Traveling Award 2014
Universidad Peruana Cayetano Heredia
Invited Talks
Neuro-cybernetics At Scale — Champalimaud Research Symposium 2025
Lisbon, Portugal
Spatiotemporal Modeling of Cortical Cholinergic and Calcium Signaling Dynamics Across Learning
Foundation Models in Neuroscience Workshop — COSYNE 2025
Montreal, Canada
BrainLM: A foundation model for brain activity recordings
Shared Visual Representation Workshop — NeurIPS 2022
New Orleans, LA, USA
Local Convolutions Cause an Implicit Bias towards High Frequency Adversarial Examples
Center for Brains, Minds and Machines — MIT 2021
Cambridge, MA, USA
Local Convolutions Cause an Implicit Bias towards High-Frequency Adversarial Examples
Theoretical and Computational Neuroscience Conference 2019
Houston, TX, USA
A Simple Visual Task Demonstrating the Benefit of Lateral or Feedback Connections
Conferences
COSYNE Conference — Poster 2024
Lisbon, Portugal
Spatiotemporal modeling of cortical cholinergic and calcium signaling dynamics across learning
NeuroNex Workshop — Poster 2019
San Diego, CA, USA
A Simple Visual Task Demonstrating the Benefit of Lateral or Feedback Connections
Brains and Bits Workshop — NeurIPS 2016
Barcelona, Spain
Recurrent computations for pattern completion
VI Latin American School on Computational Neuroscience (LASCON) 2016
University of Sao Paulo, Brazil
Synchronization differences in a network memory model of CA3 with progressive neuronal removal
Society for Neuroscience 2014
Washington D.C., USA
Teaching
Graduate Teaching Assistant — Introduction to Deep Learning 2017 – 2018
Department of Computer Sciences, Rice University, TX
  • Graduate-level module
  • Designed course material (slides and exercises)
  • Taught a lecture on recurrent convolutional networks
Teaching Assistant — Calculus & Differential Equations 2015 – 2016
Department of Exact Sciences, Universidad Peruana Cayetano Heredia, Peru
  • Univariate Calculus
  • Multivariate Calculus
  • Differential Equations
Service & Volunteering
Mentor & Research Supervisor — REPU 2024 –
Research Experience for Peruvian Undergraduates
Organizer — LatinX in AI @ NeurIPS 2020 2020
NeuroMatch Academy 2020
Development of Mentor-Project Matching Algorithm
Head of Data Analytics & Partnerships — Serendipity 2018 –
  • Head of the Department of Data Analytics (2020–)
  • Head of the Department of Partnerships (2018–2020)
  • One-on-one mentoring and lectures for students (2017–)