David Nader Palacio -

Registered user since Wed 27 Mar 2019

Name:David Nader Palacio

Bio:

I am a PhD candidate in Computer Science at William & Mary, with over 5 years of experience in machine learning and software engineering research. My main focus is on exploring the synergies of causal inference and deep learning to automate and improve software maintenance tasks, such as bug fixing, code summarization, and traceability link recovery.

Country:United States

Affiliation:William & Mary

Personal website: https://github.com/danaderp

X (Twitter): https://x.com/computoloco

GitHub: https://github.com/danaderp

Research interests:Deep Learning, Causal Inference, Information Theory

Contributions

2024

ICSE

Session Chair of LLM, NN and other AI technologies 4 (part of Research Track)
Author of Which Syntactic Capabilities Are Statistically Learned by Masked Language Models for Code? within the New Ideas and Emerging Results-track

2023

ICSME

Author of Benchmarking Causal Study to Interpret Large Language Models for Source Code within the New Ideas and Emerging Results Track-track

2021

ICSE

Author of Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks within the Technical Track-track
Committee Member in Additional Reviewers within the DEMO - Demonstrations-track