Euxhen Hasanaj
Research Scientist at GenBio AI
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolEuxhen Hasanaj is a research scientist at GenBio AI with a PhD in Machine Learning from Carnegie Mellon and eight years of experience applying ML to biotechnology and drug design. He develops multiscale foundation models to predict single-cell perturbation responses and has a track record of translating research into practical tools—examples include SenSet, a 106-gene senescence signature, and Truffle, an algorithm for integrating clinical transcriptomic time series accepted to ISMB 2024. His work spans graph learning, generative models, and biological foundation models with prior internships at Genesis Therapeutics and Sanofi focused on de novo drug design and patient stratification. Based in Palo Alto, he blends deep academic training with production ML experience across healthcare and computer vision, and often targets aging and perturbation-response biology—areas where modeling choices can reveal unexpected biological subtypes.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA, Mathematics and Computer Science, Bachelor of Arts - BA, Mathematics and Computer Science at American University in BulgariaDoctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Carnegie Mellon UniversityStudy Abroad, International Student Exchange Program (ISEP), Study Abroad, International Student Exchange Program (ISEP) at University of Iowa
English, Italian, Albanian, French
Github Skills (47)
dimensionality-reduction10
python10
spatial-transcriptomics10
seq10
codex10
tsne10
transcriptomics10
gene-expression10
single-cell-analysis10
rna-seq10
bioinformatics10
data-visualization10
genomics10
genomics-visualization10
clustering10
Programming languages (3)
Github contributions (5)
euxhenh/cellar
Jun 2021 - Jul 2022
Interactive software tool for the assignment of cell types in single-cell studies.
Contributions:4 releases, 187 commits, 6 PRs in 1 year 1 month
singlecellcodexpythonspatial-transcriptomicsgenomics-visualization
euxhenh/multiset-multicover
Dec 2021 - Oct 2022
A package for performing multiset multicover using the greedy cover algorithm.
Contributions:6 releases, 39 commits, 2 PRs in 9 months
greedycppmultisetpython
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