Scholar
L. Julián Lechuga López
Google Scholar ID: shTJDMoAAAAJ
PhD candidate @ NYU
Citations & Impact
Citations
82
H-index
5
i10-index
2
Publications
11
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- Oct '25: Our work 'Class-Dependent Miscalibration Severely Degrades Selective Prediction in Multimodal Clinical Prediction Models' was accepted at Machine Learning for Health Symposium ML4H 2025!!; Jul '25: Presented our work on 'Uncertainty-Aware Multimodal AI for Respiratory Shock Detection' at IEEE EMBC 2025; Jun '25: Presented 'Uncertainty-Aware Foundation Models for Trustworthy Chest X-ray Report Generation' at the CHIL Doctoral Symposium and 'Uncertainty Quantification for Machine Learning in Healthcare: A Survey' at CHIL 2025 at UC Berkeley; May '25: Presented 'Uncertainty-Aware Multimodal AI for Trustworthy Clinical Decision Support' at SAIL 2025 in Puerto Rico; Oct '24: Finalist at the NYUAD GradSlam with the 3-minute pitch 'Improving the Future of Clinical Diagnostics'; Dec '23: First official poster presentation 'Informative Priors Improve the Reliability of Multimodal Clinical Data Classification' at ML4H in New Orleans; Jul '23: Gave a tutorial session on 'Open Source in Healthcare: Industry & Academia' at the Bumblekite ML Summer School in Healthcare & Biosciences, ETH Zürich; May '23: Presented 'Privacy-Preserving Machine Learning for Healthcare: Open Challenges and Future Perspectives' at the Trustworthy ML for Healthcare Workshop at ICLR in Kigali, Rwanda.
Research Experience
- Graduate Research Assistant, Clinical AI Laboratory, NYU Abu Dhabi; CS Global PhD Fellow.
Education
- PhD in Computer Science and Engineering, New York University Tandon School of Engineering; Dual Master's degree in Mathematics and Informatics Data Science (MIDS), Université de Paris Cité; Bachelor's degree in Mechatronics Engineering, Instituto Tecnológico y de Estudios Superiores de Monterrey (ITESM).
Background
- Research interests: multimodal learning, vision-language foundation models, uncertainty quantification for clinical applications. Professional field: Computer Science and Engineering. Brief introduction: Currently a PhD candidate at New York University Tandon School of Engineering, and a Graduate Research Assistant at the Clinical AI Laboratory, NYU Abu Dhabi.
Miscellany
- Born and raised in Mexico, lived in France, Germany, Latvia, Japan, Belgium, the United Arab Emirates, and the United States. Curious about the world, science, culture, and different languages.
