Ariane Mora
Starting PI at AITHYRA Research Institute for Biomedical Artificial Intelligence
Vienna, Austria
Summary
👤
Senior🎓
Top SchoolAriane Mora is a computational biologist and starting PI with a decade of experience applying generative models to integrate multi-modal biological snapshots and unravel epigenetic influences on cell fate. Trained as a PhD biomathematician/bioinformatician at the University of Queensland, she blends deep machine learning, software engineering and field‑scale remote sensing to tackle problems from single‑cell dynamics to climate‑resilient forests. Her background includes research and engineering roles at institutions such as Caltech, WSL and Schmidt Futures, and practical software experience building data‑driven tools with JavaScript, Python and cloud platforms. Now based in Vienna, she leads interdisciplinary projects that bridge algorithm development and real-world bioscience applications, including protein engineering for bioremediation. Notably, she pairs rigorous academic modelling with hands‑on engineering—able to move ideas from generative model prototypes to deployable research software.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Biomathematics Bioinformatics and Computational Biology, Doctor of Philosophy - PhD Biomathematics Bioinformatics and Computational Biology at The University of QueenslandKenmore State High SchoolExchange Semester, Exchange Semester at National University of Singapore
English, German
Github Skills (27)
biomart10
meta-analysis9
sequence9
generative8
brain-computer-interface8
beast7
bioinformatics7
api6
plot6
r-package6
gene-expression5
python5
bayesian-statistics5
react4
transcriptomics3
Programming languages (6)
Github contributions (5)
ArianeMora/scircm
Jun 2022 - Nov 2024
Contributions:3 releases, 2 PRs, 40 pushes in 2 years 5 months
bodenlab/GRASP
Apr 2017 - Dec 2019
Graphical Representation of Ancestral Sequence Predictions
Contributions:338 commits, 56 PRs, 206 pushes in 2 years 8 months
graphicalrepresentationsequencepredictions
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