Dzvinka Yarish
Junior Research Fellow at University of Tartu
Tartu, Estonia
Summary
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Senior🎓
Top SchoolDzvinka 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.
10 years of coding experience
5 years of employment as a software developer
Lviv Academic GymnasiumBachelor's degree, Computer Science, A, Bachelor's degree, Computer Science, A at Ukrainian Catholic UniversityMaster's degree, Computer Science, Master's degree, Computer Science at University of Tartu
ukraininan, English, German
Github Skills (18)
rna-seq8
fine-mapping7
exchange4
deep-learning3
tensorflow3
deep-reinforcement-learning3
yang3
single-cell-genomics3
multimodal-deep-learning3
jack3
bioinformatics3
machine-learning2
genetics2
data-integration2
nlp1
Programming languages (5)
Github contributions (5)
vlad-user/parallel-tempering2
Sep 2020 - Jun 2022
Contributions:4 PRs, 56 pushes, 3 branches in 1 year 10 months
SoftServeInc/yield-paper
Sep 2021 - Jun 2022
Contributions:20 commits, 18 pushes in 9 months
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