CV

Education

Kazan Federal University (Russia)
Specialist of Fundamental and Applied Chemistry (equiv. to Master)
2014 – 2019 | GPA: 4.4 / 5.0

University of Strasbourg (France)
Ph.D. in computational chemistry and chemoinformatics
Part of the Maria Skłodowska-Curie Actions’ TubInTrain programme
2020 – 2023 (Expected)

University of Barcelona (Spain)
Ph.D. in biotechnology
Part of the Maria Skłodowska-Curie Actions’ TubInTrain programme
2020 – 2023 (Expected)

Online Courses

Python for Data Science and Machine Learning (2018-2019) | Certificate.
Master SQL for Data Science (2019) | Certificate.

Work experience

University of Strasbourg (France)
Invited researcher, Chemoinformatics Lab
Sep. 2019 – Dec. 2019

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Kazan Federal University (Russia)
Undergraduate research assistant, Chemoinformatics Lab
July 2017 – July 2019
Python, pyTorch, TensorFlow, scikit-learn, PostgreSQL

• Developed a novel approach to QSAR modeling using convolutional neural networks that shows a higher accuracy than existing methods.

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A.E. Arbuzov Institute of Organic and Physical Chemistry (Russia)
Researcher, Supramolecular chemistry lab
Oct. 2015 – July 2017
NMR, UV-Vis spectroscopy, DLS, ELS, Fluorescent analysis

• Conducted chemical experiments using high-level analytical instruments, analyzed and reported novel results describing a new phenomenon in physical chemistry of aqueous solutions of biologically active compounds acting in low concentrations on water biota.

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Kazan Federal University (Russia)
Mobile App Developer, IT Department
Feb. 2015 – Oct. 2015
JavaScript, React Native, mongoDB

• Developed an official cross-platform application for my university’s admission office.

Skills

• Chemistry: Computational chemistry, organic chemistry, biochemistry
• Instrumental methods: DLS, ELS, NMR, UV-Vis, IR, fluorescent spectroscopy
• Programming Languages: Python, JavaScript
• Data Science: numpy, pandas, scipy, jupyter, scikit-learn, xgboost, lightgbm, matplotlib, seaborn, plotly, tensorflow, pyTorch
• Database Management: PostgreSQL, mongoDB
• Other: React Native, Node.js, RDKit, Flask, FastAPI, HTML/CSS, jQuery, Linux, Git
• Languages: English (TOEFL 116/120), Chinese (HSK 3, HSKK 2), French (A1), Russian (native)

Selected publications

1. Ryzhkina I.S., Murtazina L.I., Sergeeva S.Yu., Kostina L.A., Sharapova D.A., Shevelev M.D., Konovalov A.I. (2021). Fluorescence characteristics of aqueous dispersed systems of succinic acid as potential markers of their self-organization and bioeffects in low concentration range. Environmental Technology & Innovation, 21, 101215. DOI: 10.1016/j.eti.2020.101215.
2. Zankov, D.V., Shevelev, M.D., Nikonenko, A.V., Polishchuk, P.G., Rakhimbekova, A.I., Madzhidov, T.I. (2020). Multi-instance learning for structure-activity modeling for molecular properties. Analysis of Images, Social Networks and Texts, 62-71. DOI: 10.1007/978-3-030-39575-9_7.
3. Ryzhkina, I. S., Murtazina, L. I., Shevelev, M. D., Akhmetzyanova, L. R., Galkina, I. V., Kuznetsova, T. V., Knyazev I.V., Petrov A.M., Konovalov, A. I. (2019). Aqueous systems based on organophosphorous compounds in low concentrations: Interconnection of self-organization and biological properties. Phosphorus, Sulfur, and Silicon and the Related Elements, 194(4-6), 497–501. DOI: 10.1080/10426507.2018.1540485.
4. Ryzhkina, I. S., Sergeeva, S. Y., Kiseleva, Y. V., Timosheva, A. P., Salakhutdinova, O. A., Shevelev, M. D., & Konovalov, A. I. (2018). Self-organization and properties of dispersed systems based on dilute aqueous solutions of (S)- and (R)- lysine. Mendeleev Communications, 28(1), 66–69. DOI: 10.1016/j.mencom.2018.01.022.
5. Ryzhkina, I. S., Sergeeva, S. Y., Murtazina, L. I., Shevelev, M. D., Akhmetzyanova, L. R., Kuznetsova, T. V., Zaynulgabidinov E. R., Knyazev I.V., Petrov A.M., Konovalov, A. I. (2018). Disperse systems based on chloracetophos in the low concentration range: self-organization, physicochemical properties and influence on representatives of higher plants and hydrobionts. Russian Chemical Bulletin, 67(5), 792–799. DOI: 10.1007/s11172-018-2139-y.
6. Ryzhkina, I. S., Palmina, N. P., Maltseva, E. L., Sergeeva, S. Y., Murtazina, L. I., Shevelev, M.D., Konovalov, A. I. (2017). The relationship between self- organization and membrane effects of aqueous dispersion systems of the thyroliberin oligopeptide. Doklady Physical Chemistry, 474(1), 80–84. DOI: 10.1134/s0012501617050025.

Talks

1. Aqueous systems based on organophosphorous compounds in low concentrations: self-organization and biological properties.
   22^nd International Conference on Phosphorous Chemistry. 8-13 July, 2018, Budapest, Hungary.
2. Nanoheterogeneous systems based on (S)-Lysine diluted solutions – self- organization and properties.
   3^rd Youth School on Supramolecular and Coordination Chemistry. 18 April, 2017, Kazan, Russia.

Awards

Enhanced academic scholarship for success in scientific work
March 2018 – Feb. 2019

Funded research projects

1. The Russian Foundation for Basic Research, Project No. 16-03-00076
2. The Russian Academy of Sciences Executive Committee’s Program No. 22 (1)
3. The Republic of Tatarstan Academy of Sciences’ Young researcher grant, 2018.
4. Maria Skłodowska-Curie Actions’ TubInTrain programme (EU Horizon 2020, GA No. 860070)