Alex Hernandez-Garcia, Université de Montréal

Research

Read how they describe their research on their Université de Montréal profile.

Apprentissage automatique Apprentissage profond Intelligence artificielle Modélisation

Latest papers

Benchmarking the geographic generalization of deep learning models for precipitation downscaling.
Scientific reports · 2026
Diversifying Design of Nucleic Acid Aptamers Using Unsupervised Machine Learning.
The journal of physical chemistry. B · 2023
Benchmark of Data Processing Methods and Machine Learning Models for Gut Microbiome-Based Diagnosis of Inflammatory Bowel Disease
Frontiers in Genetics · 2022

All 3 publications

3 publications.

01

Benchmarking the geographic generalization of deep learning models for precipitation downscaling.

Harder P, Schmidt L, Pelletier F, Ludwig N, Chantry M, Lessig C, Hernandez-Garcia A, Rolnick D

Scientific reports2026

DOI: 10.1038/s41598-025-34557-4 PMID: 41593162

02

Diversifying Design of Nucleic Acid Aptamers Using Unsupervised Machine Learning.

Moussa S, Kilgour M, Jans C, Hernandez-Garcia A, Cuperlovic-Culf M, Bengio Y, Simine L

The journal of physical chemistry. B202310 citations

DOI: 10.1021/acs.jpcb.2c05660 PMID: 36574492

03

Benchmark of Data Processing Methods and Machine Learning Models for Gut Microbiome-Based Diagnosis of Inflammatory Bowel Disease

Ryszard Kubinski, Jean-Yves Djamen-Kepaou, Timur Zhanabaev, Álex Hernández-García, Stefan M. Bauer, Falk Hildebrand, Tamas Douglas Korcsmaros, Sani Karam, Prévost Jantchou, Kamran Kafi, Ryan Martin

Frontiers in Genetics202240 citationsOpen Access

DOI: 10.3389/fgene.2022.784397 PMID: 35251123

Frequent collaborators

Département d’informatique et de recherche opérationnelle
School of Computer Science
Department of Chemistry
Department of Biochemistry, Microbiology and Immunology
Pediatrics

Co-authors at Université de Montréal, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Miroslava Cuperlovic-Culf

Department of Biochemistry, Microbiology and Immunology

1 shared papers, latest 2023

Lena Simine

Department of Chemistry

1 shared papers, latest 2023

Yoshua Bengio

Département d’informatique et de recherche opérationnelle

1 shared papers, latest 2023

David Rolnick

School of Computer Science

1 shared papers, latest 2026

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Subject: Prospective PhD student: Apprentissage automatique Dear Professor Hernandez-Garcia, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Benchmarking the geographic generalization of deep learning models for precipitation downscaling." (2026), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]