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Posts by Collection
portfolio
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publications
Deep reinforcement learning for de novo drug design
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.
MolecularRNN: Generating realistic molecular graphs with optimized properties
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
Correction of Automatic Speech Recognition with Transformer Sequence-To-Sequence Model
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.
Openchem: deep learning toolkit for computational chemistry and drug design
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)
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Modeling Signaling and Regulatory Networks, Fall 2018
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.
02-450/02-750 Automation of Scientific Research, Spring 2020
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.