J. Roberto Tello Ayala

J. Roberto Tello Ayala

PhD Student in Applied Mathematics - Machine Learning

Data to Actionable Knowledge Lab

Harvard University

My name is (Jose) Roberto Tello Ayala (he/him/his), I am a second year (G2) PhD student advised by Professor Finale Doshi-Velez. I am part of the Data to Actionable Knowledge Lab at Harvard John A. Paulson School of Engineering and Applied Sciences. My research is centered around model interpretability, with a focus on applications in healthcare. I am also affiliated to the Cardiovascular Disease Initiative (CVDi)) of the Broad Institute of Harvard and MIT as well as the Mass General Hospital (MGH).

Education

 
 
 
 
 
Harvard University
PhD student
Harvard University
August 2022 – Present Cambridge MA, USA
 
 
 
 
 
Instituto Tecnológico Autónomo de México
B.S. in Applied Mathematics
Instituto Tecnológico Autónomo de México
August 2015 – December 2019 Mexico City, Mexico
Graduated with honors by acquiring a special mention thanks to my thesis titled “A study concerning the Chebyshev Center problem in finite-dimensional normed vector spaces” under the supervision of Dr. Cesar Garcia-Garcia.

Recent Publications

J. Roberto Tello Ayala, Akl C. Fahed, Weiwei Pan, Eugene V. Pomerantsev, Patrick Thomas Ellinor, Anthony Philippakis, Finale Doshi-Velez (2023). Signature Activation: A Sparse Signal View for Holistic Saliency. In ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH).

PDF Cite Project Slides

J. Roberto Tello Ayala, Edwin Lock, Francisco Javier Marmolejo-Cossio, Jakob Jonnerby, Ninad Rajgopal, Hector Alonso Guzman-Gutierrez, Luis Alejandro Benavides-Vazquez, Philip Lazos (2021). Optimal Testing and Containment Strategies for Universities in Mexico amid COVID-19. EAAMO ‘21: Equity and Access in Algorithms, Mechanisms, and Optimization.

PDF Cite Code Slides

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Contact

  • jtelloayala [at] g [dot] harvard [dot] edu