Dzvinka Yarish

Junior Research Fellow at University of Tartu

Tartu, Estonia
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Summary

👤
Senior
🎓
Top School
Dzvinka Yarish is a machine learning researcher and engineer with a decade of experience applying ML to bio- and cheminformatics, currently pursuing a PhD and working as a Junior Research Fellow at the University of Tartu. Her work focuses on predicting the effects and mode-of-action of genetic variants, combining computational genomics with deep learning and reinforcement learning approaches to improve drug discovery workflows. She has practical industry R&D experience building ML solutions for pharmaceutical use cases at SoftServe and has taught machine learning courses, bridging research and applied engineering. Notably, her background spans NLP, IoT, and genetics-enabled ML, giving her a rare cross-domain perspective that informs efficient exploration strategies in deep RL and variant effect prediction.
code10 years of coding experience
job5 years of employment as a software developer
bookLviv Academic Gymnasium
bookBachelor's degree, Computer Science, A, Bachelor's degree, Computer Science, A at Ukrainian Catholic University
bookMaster's degree, Computer Science, Master's degree, Computer Science at University of Tartu
languagesukraininan, English, German
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Github Skills (16)

exchange5
genomics4
single-cell-genomics4
bioinformatics4
multimodal-deep-learning4
tensorflow3
deep-learning3
rna-seq3
yang3
data-integration2
data-science2
jack2
machine-learning2
python2
simplification2

Programming languages (4)

RHTMLJupyter NotebookPython

Github contributions (5)

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SoftServeInc/yield-paper

Sep 2021 - Jun 2022

Contributions:20 commits, 18 pushes in 9 months
Contributions:4 PRs, 56 pushes, 3 branches in 1 year 10 months
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