Francisco Carrillo-Perez
PhD in machine learning applied to bioinformatics.
Granada (Spain)
carrilloperezfrancisco at gmail dot com
pacocp pacocp9 franciscocpAbout me
My name is Francisco (Paco) Carrillo-Perez, and I hold a Ph.D. in machine learning applied to bioinformatics from the University of Granada. I am working now as a Senior Scientist, Imaging AI at Bristol Myers Squibb. I am mainly interested in multi-modal self-supervised learning and generative models for cancer research. In my spare time I like to climb, take long hikes, and read a good book!Recent News
| 21/08/2024 | New preprint available in bioArxiv: Towards Digital Quantification of Ploidy from Pan-Cancer Digital Pathology Slides using Deep Learning. |
| 02/05/2024 | Invited talk at the Institute of Data Science and Artifificial Intelligence, University of Navarra: video and slides here. |
| 21/03/2024 | New published publication in Nature Biomedical Engineering: Generation of synthetic whole-slide image tiles of tumours from RNA-sequencing data via cascaded diffusion models. |
| 06/03/2024 | New published publication in SoftwareX: SnapperML: A python-based framework to improve machine learning operations. |
| 29/01/2024 | New published publication in Cell Reports Methods: A 3D lung lesion variational autoencoder. |
| 19/07/2023 | New published publication in Cell Reports Methods: Synthetic whole-slide image tile generation with gene expression profile-infused deep generative models. |
| 12/07/2023 | New published publication in Nature Communications: Spatial cellular architecture predicts prognosis in glioblastoma. |
| 27/06/2023 | New published publication in Cancer Imaging: Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection. |
| 02/06/2023 | Invited talk at the Centro Andaluz de Biología del Desarrollo to talk about cross-modal synthetic data generation. |
| 01/04/2023 | Colleagues will be presenting our work at ACCR, you can check abstract here: Prediction of cancer transcriptomes from whole-slide images with Vis-Gene. |
| 04/03/2023 | New published publication in Nature Medicine: A deep-learning algorithm to classify skin lesions from mpox virus infection. |
| 01/03/2023 | Happy to rejoin the Gevaert's lab as a Freelance Postdoctoral Researcher!. |
| 02/12/2022 | New published publication in Trends in Molecular Medicine: Imaging genomics: data fusion in uncovering disease heritability. |
| 10/04/2022 | New published publication in the Journal of Personalized Medicine: Machine-Learning-Based Late Fusion on Multi-Omics and Multi-Scale Data for Non-Small-Cell Lung Cancer Diagnosis. |
| 29/11/2021 | New published publication in the Journal of Esthetic and Restorative Dentistry: Applications of artificial intelligence in dentistry: A comprehensive review. |
| 22/09/2021 | New published publication in the BMC Bioinformatics journal: Non-small-cell lung cancer classification via RNA-Seq and histology imaging probability fusion. |
| 19/04/2021 | New published publication in the Computers in Biology and Medicine journal: KnowSeq R-Bioc Package: The Automatic Smart Gene Expression Tool For Retrieving Relevant Biological Knowledge. |
| 12/04/2021 | Honored to become a Fulbright fellow! I will do a twelve-month research collaboration at Stanford University under the supervision of Professor Olivier Geavert starting October 2021. |
| 22/03/2021 | New published publication in the Journal of Dentistry: INFLUENCE OF BACKGROUND COLOR ON COLOR PERCEPTION IN DENTISTRY |
| 19/02/2021 | New published publication in the Neural Computing and Applications journal: Deep learning to classify ultra-high-energy cosmic rays by means of PMT signals |