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About me
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Published in Science Advances, 2018
Recommended citation: Mariya Popova, Olexandr Isayev, and Alexander Tropsha. "Deep reinforcement learning for de novo drug design." Science advances 4.7 (2018): eaap7885.
Published in ArXiV, 2019
Recommended citation: Mariya Popova, Mykhailo Shvets, Junier Olica, Olexandr Isayev. "MolecularRNN: Generating realistic molecular graphs with optimized properties" arXiv preprint arXiv:1905.13372
Published in ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Recommended citation: Oleksii Hrinchuk*, Mariya Popova* and Boris Ginsburg. "Correction of Automatic Speech Recognition with Transformer Sequence-To-Sequence Model." ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020.
Published in ChemRxiv, 2020
[ChemRxiv] Under review in [Journal of Chemical Information and Modeling]
Recommended citation: Mariya Popova, Boris Ginsburg, Alexander Tropsha and Olexandr Isayev. "Openchem: deep learning toolkit for computational chemistry and drug design." (2020)
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Graduate level course, University of North Carolina at Chapel Hill, Bioinformatics and Computational Biology Program, 2018
I was a TA for UNC BCB715 Modeling Signaling and Regulatory Networks in Fall semester of 2018. I gave 2 lectures, helped students debug solutions, answered questions, and evaluated students’ performance in the class.
Undergraduate and Master's course, Carnegie Mellon University, Computational Biology Department, School of Computer Science, 2020
I was a TA for UNC BCB715 Modeling Signaling and Regulatory Networks in Spring semester of 2020. I prepared homeworks for the class, helped students debug solutions, answered questions, and evaluated students’ performance in the class.