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PhD. in Machine Learning applied to bioinformatics. Interested in Machine Learning and Deep Learning applied to biomedical problems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Bristol Myers Squibb
Data Scientist
June 23, 2026 – Present
sequoia-pub
August 18, 2023 – Present
SEQUOIA: Digital profiling of cancer transcriptomes with grouped vision attention
View ProjectWSI-Pancreas-Classification
December 15, 2022 – September 25, 2023
Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection - Cancer Imaging
View ProjectGBM360
July 1, 2022 – December 11, 2023
Spatial cellular architecture predicts prognosis in glioblastoma - Nature Communications
View ProjectRNA-GAN
April 21, 2022 – September 19, 2025
Synthetic whole-slide imaging tile generation with gene expression profiles infused deep generative models - Cell Reports Methods
View Projectmultiomic-fusion-NSCLC
October 6, 2021 – April 8, 2022
Machine-Learning-Based Late Fusion on Multi-Omics and Multi-Scale Data for Non-Small-Cell Lung Cancer Diagnosis - Journal of Personalized Medicine
View ProjectNSCLC-multimodal-classification
July 7, 2020 – April 7, 2022
Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion - BMC Bioinformatics
View ProjectSnapperML
November 5, 2019 – Present
SnapperML is a framework for machine learning. It has many functionalities including scalability through docker instances and reproducibility.
View ProjectDeep-Learning-para-diagnostico-a-partir-de-imagenes-Biomedicas
June 3, 2017 – February 25, 2019
:bar_chart: Deep Learning para diagnóstico a partir de imágenes biomédicas, TFG
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in biomedical research and academic publications, indicating a strong fit for roles requiring deep scientific inquiry and research output. However, the lack of diverse project types or experience outside of this niche might suggest a narrower cultural fit for roles requiring broader industry application or product development focus. The candidate's current role at Bristol Myers Squibb aligns well with the target role of Data Scientist, especially within a pharmaceutical or biotech context.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong research orientation and ability to deliver publishable work, which suggests diligence and problem-solving skills. However, there is no information regarding collaboration, communication style, or adaptability in a team setting.