Anastasia Ianina
Data Science

Anastasia Ianina

Current position
Ph.D. student at Moscow Institute of Physics and Technology, Research Scientist at Samsung AI Center, Research Engineer at Gigster, Machine Learning Instructor at BigData Team
Skills
Python
Deep Learning
Reinforcement Learning
Algorithms
Computer Vision
Data Structures

Social

ABOUT

Anastasia Ianina graduated from Moscow Institute of Physics and Technology with a major in Computer Science. She received thorough knowledge of math and machine learning, and gained significant amounts of hands-on experience: interning at Lyft and working on self-driving cars, holding a data scientist position at Yandex, working as a researcher at the MIPT machine intelligence lab, and writing papers to top-level international conferences.

Anastasia’s research interests include Machine Learning, Natural Language Processing, Text Analytics, Deep Learning, etc. Mainly, she is focusing on Natural Language Understanding and topic-based text representations.

Anastasia currently teaches students from MIPT machine learning and works as a Machine Learning Instructor at bigdatateam.org. Moreover, she takes part in creating online educational courses: she authored the course “Dynamic Neural Network Programming with PyTorch” for Packt Publishing and worked on Coursera NLP specialisation.

EXPERIENCE

Research Scientist Intern
Lyft Level 5, TUM
Jan 2019 – May 2019 | Munich, Germany

Machine Learning Instructor
BigDataTeam
Jun 2018 – Present | Moscow, Russia

Research Engineer
Gigster
Sep 2017 – Present | San Francisco, USA

Research Scientist
MIPT Machine Intelligence Laboratory
May 2017 – Dec 2018 | Moscow, Russia

Data Scientist
Yandex
Feb 2016 – May 2017 | Moscow, Russia

EDUCATION

Moscow Institute of Physics and Technology
Ph.D. in Computer Science
Aug 2018 – Present

Moscow Institute of Physics and Technology
Master's Degree in Computer Science
Sep 2016 – Jul 2018

Moscow Institute of Physics and Technology
Bachelor's Degree in Applied Mathematics & Informatics
Sep 2012 – Jul 2016

Yandex School of Data Analysis
Big Data Department
Sep 2014 – May 2016

HONORS & AWARDS

  • Presenting research paper ”Hierarchical topic models for Exploratory Search”
    DataFest
    2018

  • Presenting research paper ”Topical Exploratory Search”
    Moscow Data Science Meetup
    2016

  • 3rd Place
    Skoltech Hack Race
    2016

  • Hackathon DeepHack.QA
    The Allen AI Science Challenge
    2016

SELECTED PUBLICATIONS

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