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SPIN-RSCI: 1373-5865
ORCID: 0000-0003-3034-8342
ResearcherID: K-4881-2015
Scopus AuthorID: 57195103709
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S. Kuznetsov
A. Neznanov
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Ella Tyuryumina

  • Ella Tyuryumina has been at HSE since 2015.


Research: Mathematical Methods and Software Tools for Prediction of Breast Cancer Developing

Academic and Professional Interests

-- Data analysis: Big Data problems, Big Data problems, Mathematical Modelling, ML

-- Medical informatics: clinical informatics, mathematical support of randomized controlled trials, medical information systems

-- iOS develpment






Chapter Тюрюмина Э. Я., Незнанов А. А. Объединенная математическая модель рака молочной железы // В кн.: 39-я междисциплинарная школа-конференция "Информационные технологии и системы". Springer, 2015. С. 38-51.


  • -- 5th IEEE International Conference on Healthcare Informatics (ICHI 2017), 23-26 August 2017, Park City, Utah

    -- 7th International Conference on Digital Health (DH 2017), July 2 - 5, 2017, London, UK

    -- 15th St. Gallen International Breast Cancer Conference "Primary Therapy of Early Breast Cancer", March 15 - 18,  2017, Vienna, Austria

    -- IT & MED, World Trade Center, November 23, 2016, Moscow, Russia

    -- Information Technology and Systems, The 40th Interdisciplinary Conference & School, September 25 - 30, 2016, Repino, St. Petersburg, Russia


    -- Information Technology and Systems, An IITP RAS Interdisciplinary Conference & School, September 7 - 11, 2015 Olympic Village, Sochi, Russia

  • 2015

    39-я междисциплинарная школа-конференция «Информационные технологии и системы 2015» (Сочи). Presentation: Объединенная математическая модель роста рака молочной железы

Employment history

-- 2015 - current Research assistant, International Laboratory for Intelligent Systems and Structural Analysis, National Research University Higher School of Economics, Moscow.

-- 2015 - current Teaching assistant for Introduction to Erlang ProgrammingLanguages of Software Development, Data Base Theory, Mathematical analysis, Faculty of Computer Science, National Research University Higher School of Economics, Moscow.

-- 2017 - 2019 Master. System and Software Engineering, Faculty of Computer Science, NRU HSE, Moscow, Russia

-- 2013 - 2017 Bachelor. Applied Mathematics and Informatics,  Faculty of Computer Science, NRU HSE, Moscow, Russia


Awards and Accomplishments

-- 2018 Silver chick, HSE, Moscow, Russia

-- 2018 Scholarship of President RF, President and HSE, Moscow, Russia

-- 2018 Scholarship of Ilya Segalovich, Yandex and HSE, Moscow, Russia

-- 2015  Best Scientific-Research Student Paper in Computer Science for "Consolidated mathematical growth model of breast cancer", HSE, Moscow, Russia

Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Researchers" (2018)

Continuing education / Professional retraining / Internships / Study abroad experience

-- 2017 Summer School, Mathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Ciudad Real, Spain


Ella Tyuryumina delivered a report on 15th St. Gallen International Breast Cancer Conference Primary Therapy of Early Breast Cancer

New mathematical model can help predict breast cancer growth, occurrence of metastases

Personalized medicine is a healthcare approach in which medical procedures are tailored to the individual patient's genetic, physiological, and biochemical type along with other characteristics. Cancer treatment is one type of care where a personalized approach is most needed and often applied.

Mathematics to help diagnose cancer

Breast cancer is one of the most common cancers, accounting for 26% of all malignancies in women. Mathematical modeling can play an important role in predicting the course of disease and supporting the use of personalized medicine in its treatment, say researchers.


Ella Tyuryumina, Research Assistant IL ISSA, had presentation on conference IEEE ICHI 2017 in USA

The Fifth IEEE International Conference on Healthcare Informatics (ICHI 2017) took place in Park City, Utah, in the heart of the Rocky Mountains, from august 23rd to August 26th, 2017.

Mathematics to Help Diagnose Cancer

HSE researchers have developed a new mathematical model to predict breast cancer growth and the occurrence of metastases.