J. Roberto Tello Ayala

J. Roberto Tello Ayala

Fourth-year PhD Candidate in Applied Mathematics

Data to Actionable Knowledge Lab

Harvard John A. Paulson School of Engineering and Applied Sciences

My name is (Jose) Roberto Tello Ayala (he/him/his), I am a fourth-year (G4) PhD candidate 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, as well as the Fahed Lab at the Cardiovascular Disease Initiative (CVDi) of the Broad Institute of Harvard and MIT and Massachusetts General Hospital (MGH). My research centers on developing interpretable model architectures to generate meaningful insights from data, with a particular focus on healthcare applications. My work aims to improve clinical decision-making, extract relevant phenotypes from cardiac imaging in cardiovascular disease, and identify the factors driving antidepressant treatment dropout in precision psychiatry.

Education

 
 
 
 
 
Harvard University
PhD Candidate
Harvard University
August 2022 – Present Cambridge MA, USA
 
 
 
 
 
Instituto Tecnológico Autónomo de México
Bachelor of Science 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.

Contact

Email is the best way to reach me. You can also use the profile links above for Google Scholar, GitHub, LinkedIn, and my CV.