Francisco Pérez
Senior Scientist, Imaging Machine Learning AI at Bristol Myers Squibb
Dos Hermanas, Andalusia, Spain
Summary
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Senior🎓
Top SchoolFrancisco Pérez is a Principal Scientist with a Ph.D. in machine learning applied to bioinformatics and over a decade of experience bringing advanced AI into pharmaceutical and biomedical research. He has led cross-modal deep learning projects—from CNNs and self-supervised models to diffusion models, GANs and VAEs—applied to digital pathology, multi-omics fusion and synthetic cancer data generation. At Bristol Myers Squibb and during research stints at Stanford and Universidad de Granada he combined high-performance training of large models with practical integration into clinical end-point prediction pipelines. He is comfortable spanning research and production, mentoring students and teaching courses, and has a track record of publishing and collaborating internationally (Fulbright at Stanford). Based in Andalusia, he blends rigorous academic pedigree with hands-on engineering for real-world drug discovery challenges.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning applied to Bioinformatics, Cum Laude, Doctor of Philosophy - PhD, Machine Learning applied to Bioinformatics, Cum Laude at University of GranadaMSc Data Science and Computer Engineering, MSc Data Science and Computer Engineering at Universidad de GranadaComputer Science, Computer Science, Computer Science, Computer Science at Politecnico di MilanoMediterranean Machine Learning summer school
English, Italian, Spanish
Stackoverflow
23reputation
1kreached
0answers
3questions
Github Skills (99)
textbook10
blast10
structural-variation10
economics10
gene-expression10
text-to-image10
history10
philosophy10
optical-flow10
bioinformatics10
psychology10
javascript9
rna-seq9
seq9
computer-science9
Programming languages (4)
Github contributions (5)
pacocp/SendTweet
Jul 2015 - Jan 2019
Contributions:1 PR, 14 pushes, 1 branch in 3 years 6 months
birdpythontwitterterminal
gevaertlab/RNA-GAN
Apr 2022 - Oct 2022
Synthetic whole-slide imaging tile generation with gene expression profiles infused deep generative models - Cell Reports Methods
Contributions:1 release, 26 commits, 1 PR in 6 months
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