Nour El kazwini
@nourelkazwini
PhD data scientist specializing in Bayesian modeling and single-cell analysis.
ItalyWhat I'm looking for
I am a PhD-trained data scientist with deep expertise in Bayesian hierarchical modelling, probabilistic inference and single-cell multi-omic analysis. My work combines strong computational skills with a focus on interpretable models for biological data.
During my PhD I led and co-authored multiple projects improving RNA velocity estimation and creating Bayesian interpretable models for single-cell data, producing peer-reviewed and preprint publications. I have hands-on experience building models in Python using PyTorch, TensorFlow and probabilistic tools such as NumPyro.
I teach and present research, having contributed lecture material for Bayesian Inference courses and given conference talks and satellite workshop presentations. I am experienced with high-performance computing environments and large-scale bioinformatics workflows (Seurat objects, Slurm clusters).
I seek roles where I can apply probabilistic modelling, machine learning and computational biology to real-world biological problems while continuing collaborative research and developing reproducible, interpretable tools.
Experience
Work history, roles, and key accomplishments
I(PhD Researcher
International School for Advanced Studies (SISSA)
Sep 2020 - Dec 2024 (4 years 3 months)
Conducted PhD research in data science focusing on Bayesian models and single-cell multi-omic analysis, leading projects (CRAK-Velo, SHARE-Topic, NeuroVelo) and resulting in multiple preprints and a Genome Biology publication.
I(Diploma Student
International Centre for Theoretical Physics (ICTP)
Jan 2019 - Dec 2020 (1 year 11 months)
Completed a Diploma in Quantitative Life Sciences with coursework and a thesis on applications of the belief propagation algorithm, gaining expertise in statistical modelling and computational methods.
Masters Student
Lebanese University
Jan 2016 - Dec 2018 (2 years 11 months)
Completed a Master's in Subatomic Physics with training in computational physics and data analysis, applying statistical and machine learning methods to physics problems.
Bachelor Graduate
Lebanese University
Jan 2013 - Dec 2016 (3 years 11 months)
Earned a Bachelor's degree in Physics with foundational coursework in programming, statistical physics, and scientific computing.
Education
Degrees, certifications, and relevant coursework
I(International School for Advanced Studies (SISSA)
Doctor of Philosophy, Data Science
2020 - 2024
Activities and societies: PhD research projects including CRAK-Velo, SHARE-Topic, NeuroVelo; lecture contributions to Bayesian Inference course; conference presentations.
PhD in Data Science (cum laude) at SISSA focusing on computational methods for single-cell multi-omic data and temporal cellular dynamics.
I(International Centre for Theoretical Physics (ICTP)
Diploma, Quantitative Life Sciences
2019 - 2020
Activities and societies: Diploma thesis on Belief Propagation; coursework in statistical and computational methods.
Diploma in Quantitative Life Sciences with thesis work on applications of the Belief Propagation algorithm.
Lebanese University
Master of Science, Subatomic Physics
2016 - 2018
Master's program in Subatomic Physics covering theoretical and experimental aspects of particle physics.
Lebanese University
Bachelor Degree, Physics
2013 - 2016
Bachelor's degree in Physics providing foundational training in physics and computational methods.
Tech stack
Software and tools used professionally
Availability
Location
ItalyAuthorized to work in
Job categories
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