Leopoldo Julian Lechuga Lopez

PhD student, New York University

Joined

February 2023

Names

Leopoldo Julian Lechuga Lopez (Preferred)

Emails

****@nyu.edu (Confirmed)

Personal Links

Career & Education History

PhD student

New York University (nyu.edu)

2023 – 2027

Researcher

New York University, Abu Dhabi (nyuad.nyu.edu)

2023 – 2023

MS student

Université Paris Diderot (univ-paris-diderot.fr)

2019 – 2021

Undergrad student

Instituto Tecnológico y de Estudios Superiores de Monterrey (ITESM) (itesm.mx)

2012 – 2016

Advisors, Relations & Conflicts

PhD Advisor

Farah E. Shamout

2023 – Present

PhD Advisor

Tim G. J. Rudner

2023 – Present

Expertise

Machine Learning

Present

Healthcare

Present

Multimodal Learning

Present

Vision Language Models

Present

Uncertainty Quantification

Present

Representation Learning

Present

Publications

Uncertainty Quantification for Machine Learning in Healthcare: A Survey.
Leopoldo Julian Lechuga López, Shaza Elsharief, Dhiyaa Al Jorf, Firas Darwish, Congbo Ma, Farah E. Shamout
- CHIL 2025
- Readers: Everyone
Reflections from Research Roundtables at the Conference on Health, Inference, and Learning (CHIL) 2025.
Emily Alsentzer, Marie-Laure Charpignon, Bill Chen, Niharika D'Souza, Jason A. Fries, Yixing Jiang, Aparajita Kashyap, Chanwoo Kim, Simon A. Lee, Aishwarya Mandyam, Ashery Christopher Mbilinyi, Nikita Mehandru, Nitish Nagesh, Brighton Nuwagira, Emma Pierson, Arvind Pillai, Akane Sano, Tanveer F. Syeda-Mahmood, Shashank Yadav, Elias Adhanom et al. (73 additional authors not shown)
- CoRR 2025
- Readers: Everyone
MedMod: Multimodal Benchmark for Medical Prediction Tasks with Electronic Health Records and Chest X-Ray Scans.
Shaza Elsharief, Saeed Shurrab, Baraa Al Jorf, Leopoldo Julian Lechuga López, Krzysztof J. Geras, Farah E. Shamout
- CHIL 2025
- Readers: Everyone
The Invisibility Hypothesis: Promises of AGI and the Future of the Global South
Leopoldo Julian Lechuga Lopez, Luis Lara
- P-AGI
- Readers: Everyone
Modular Multimodal Alignment using Time-Series EHR Data for Enhancing Medical Image Classification
Shaza Elsharief, Leopoldo Julian Lechuga Lopez, Firas Darwish, Dhiyaa Al Jorf, Mahlet Atrsaw Andargei, Congbo Ma, Farah E. Shamout
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
MedMod: Multimodal Benchmark for Medical Prediction Tasks with Electronic Health Records and Chest X-Ray Scans
Shaza Elsharief, Saeed Shurrab, Baraa Al Jorf, Leopoldo Julian Lechuga Lopez, Krzysztof J. Geras, Farah E. Shamout
- Conference on Health, Inference, and Learning (CHIL) 2025
- Readers: Everyone
Informative Priors Improve the Reliability of Multimodal Clinical Data Classification
Leopoldo Julian Lechuga Lopez, Tim G. J. Rudner, Farah E. Shamout
- Machine Learning for Health (ML4H) 2023
- Readers: Everyone
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Leopoldo Julian Lechuga Lopez, Shaza Elsharief, Dhiyaa Al Jorf, Firas Darwish, Congbo Ma, Farah E. Shamout
- Conference on Health, Inference, and Learning (CHIL) 2025
- Readers: Everyone
Privacy-preserving machine learning for healthcare: open challenges and future perspectives
Alejandro Guerra-Manzanares, Leopoldo Julian Lechuga Lopez, Michail Maniatakos, Farah Shamout
- Published: 07 Mar 2023, Last Modified: 04 Apr 2023
- ICLR 2023 Workshop TML4H Oral
- Readers: Everyone

Co-Authors

Aaron Tierney
Aishwarya Mandyam
Akane Sano
Alejandro Guerra-Manzanares
Ali Eshragh
Amelia Archer
Anita Silver
Annika Kumar
Aparajita Kashyap
Arvind Pillai
Ashery Christopher Mbilinyi
Avishaan Sethi
Baraa Al Jorf
Behdokht Kiafar
Bhavya Jain
Bill Chen
Brighton Nuwagira
Byron Wallace
Chang Liu
Chanwoo Kim
Chris Lunt
Congbo Ma
Connor O'Brien
Daeun Kyung
Daniel Kapash

View all 105 co-authors