Emily Natasha Diaz Badilla
PhD student under Prof. Petia Radeva, Prof. Simone Balocco & Prof. Ignasi Cos Aguilera working on Oropharynx Cancer Deep Learning applications
-
emilydiazb@ub.edu
-
LinkedIn
-
Research Gate
-
Google Scholar
Profile summary
Emilys' research work focuses on medical imaging analysis and deep learning models applied to Oropharynx Cancer. She holds a master's degree in Data Analytics Engineering from Northeastern University, USA, earned through the Fulbright fellowship, and a bachelor’s degree in Statistics from University of Costa Rica. With six years of professional experience, She has led the development and implementation of advanced machine learning models across diverse sectors, including Banking, Pharmaceuticals & Medical Devices, and Energy, serving clients throughout North and Latin America.
Latest publications
Emily Natasha Diaz Badilla has 2 publications on Google Scholar.
Access Emily Natasha Diaz Badilla Google Scholar Profile
Reinforcement Learning with Discrete Event Simulation: The Premise, Reality, and Promise
2022 | Sahil Belsare, Emily Diaz Badilla, Mohammad Dehghanimohammadabadi | 2022 Winter Simulation Conference (WSC), 2724-2735, 2022
Applied Reinforcement Learning for Decision Making in Industrial Simulation Environments
2022 | Ashwin Devanga, Emily Diaz Badilla, Mohammad Dehghanimohammadabadi | 2022 Winter Simulation Conference (WSC), 2819-2829, 2022
