CV

Education

• Moscow Institute of Physics and Technology, 2017 - 2021, PhD in Technical Science The Department of Control and Applied Mathematics Thesis title: Neural Models and Dialogue System for Open-Domain Conversations

• Skolkovo Institute of Science and Technology, 2015 - 2017, GPA: 4.7 (out of 5.0) Master, Computational Science and Engineering MSc program: Information Science and Technology Thesis title: Machine learning representation of stress and stability of crystals for high strains

• Moscow Institute of Physics and Technology, 2015 - 2017, GPA: 4.95 (out of 5.0) Master, Applied computational models and programming complexes The Department of Control and Applied Mathematics Thesis title: Machine learning representation of stress and stability of crystals for high strains

• Moscow Institute of Physics and Technology, 2011 - 2015, GPA: 4.94 (out of 5.0) Bachelor, Applied Mathematics and Physics The Department of Control and Applied Mathematics Thesis title: Boltzmann’s, Sanov’s entropy and their relation

Work experience

• Senior Researcher, July, 2017 - current time, DeepPavlov
  • Development of the open-source python Platform Dream for dialogue systems
  • Team Lead of DREAM during Alexa Prize Challenge 4
  • Team Member of DREAM during Alexa Prize Challenge 3
  • Development of the open-source python library DeepPavlov for NLP
  • Participation and tutoring on DeepPavlov events

Publications

• Baymurzina, D., Golikov, E., & Burtsev, M. (2021). A Review of Neural Architecture Search. Neurocomputing.
• Baymurzina, D., Kuznetsov, D., Evseev, D., Karpov, D., Sagirova, A., Peganov, A., … & Burtsev, M. (2021). DREAM Technical Report for the Alexa Prize 4. 4th Proceedings of Alexa Prize.
• Kuratov, Y., Yusupov, I., Baymurzina, D., Kuznetsov, D., Cherniavskii, D., Dmitrievskiy, A., … & Burtsev, M. (2020). DREAM technical report for the Alexa Prize 2019. Alexa Prize Proceedings.
• Baymurzina, D. R., Kuznetsov, D. P., & Burtsev, M. S. (2019). Language model embeddings improve sentiment analysis in Russian. In Komp’juternaja Lingvistika i Intellektual’nye Tehnologii (pp. 53-62).
• Baimurzina, D. R., Gasnikov, A. V., Gasnikova, E. V., Dvurechensky, P. E., Ershov, E. I., Kubentaeva, M. B., & Lagunovskaya, A. A. (2019). Universal method of searching for equilibria and stochastic equilibria in transportation networks. Computational Mathematics and Mathematical Physics, 59(1), 19-33.
• Burtsev, M. S., Seliverstov, A. V., Airapetyan, R., Arkhipov, M., Baymurzina, D., Bushkov, N., … & Zaynutdinov, M. (2018, July). DeepPavlov: Open-Source Library for Dialogue Systems. In ACL (4) (pp. 122-127).
• Baimurzina D.~et~al. Universal similar triangulars method for searching equilibriums in traffic flow distribution models //arXiv preprint arXiv:1701.02473. – 2017.
• Baimurzina D.~R., Gasnikov A.~V., Gasnikova~E.~V. Theory of macro systems in terms of stochastic chemical kinetics //Works of MIPT. – 2015. – B. 7. – No. 4. – P. 95-103.

Conferences

• Conference “Open-Source Day” by “Tadvisor”, April 2022. The report “Review of Open-source Solutions for Multiskill AI-assistants Development and Examples of Assistants Development on DeepPavlov Dream”.
• Conference “Artificial Intelligence Journey”, November 2021. The report “From Alexa Prize Challenge to DeepPavlov DREAM”.
• Conference “Dialog 2021”, May 2021. The report “Evaluation of Conversational Skills for Commonsense”. Baymurzina Dilyara, Kuratov Yurii, Kuznetsov Denis, Kornev Daniel.
• Conference “Dialog 2019”, May 2019. The report “Language Model Embeddings Improve Sentiment Analysis in Russian”.
• Conference “DataFest-6”, May 2019. The report “Evolutionary Neural Architecture Search for Text Classification”, DeepPavlov Workshop.
• Conference “PyData Moscow”, October 2018. Workshop “DeepPavlov: the library for dialogue systems and its application”.
• Conference “The 56th Annual Meeting of the Association for Computational Linguistics (ACL)”, July 2018. The demonstration “DeepPavlov: Open-Source Library for Dialogue Systems”.
• Conference “Lomonosov”, April 2018. The report “Intent Recognition with Neural Networks”.
• Conference “DataFest-5”, April 2018. The report “Text Classification with DeepPavlov”, DeepPavlov Workshop.
• Annual Skoltech-MIT Conference “Shaping the Future: Big Data, Biomedicine and Frontier Technologies”, 26 April 2017. Poster “Machine learning strain engineering”.
• 59-th Scientific Conference of MIPT, November 2016. The report “Representation of stress and stability of crystals for high strains”.
• 57-th Scientific Conference of MIPT, November 2014. The report “Improving of the docking antibodies and antigens using SAXS”. Diploma of the winner.