My name is Anastasiia Pronina. I work as software engineer since 2014. Through studies I found a new passion: Computational Neuroscience and this inspired me to develop myself in this field.
My ultimate career goal in life is to work in the field of neuroscience and information technology, in symbiosis of a scientist and a software developer.
My main interests are math, machine learning, scalable software design, computational neuroscience.
My ultimate career goal in life is to work in the field of neuroscience and information technology, in symbiosis of a scientist and a software developer.
My main interests are math, machine learning, scalable software design, computational neuroscience.
NNs
C++
Python
Comp. Neuro
Linear Algebra
Statistics
My name is Anastasiia Pronina. I work as software engineer since 2014. Through studies I found a new passion: Computational Neuroscience and this inspired me to develop myself in this field.
My ultimate career goal in life is to work in the field of neuroscience and information technology, in symbiosis of
a scientist and a software developer.
My main interests are math, machine learning, scalable software design, computational neuroscience.
My ultimate career goal in life is to work in the field of neuroscience and information technology, in symbiosis of
a scientist and a software developer.
My main interests are math, machine learning, scalable software design, computational neuroscience.
Pronina Anastasiia
Senior AI Frameworks Engineer at Intel GmbH,
M. Sc. in Cognitive Neurosciences
2021 - Current
Senior AI Frameworks Engineer
Intel Corporation, Germany (from 2022), Russia (till 2022)
2018-2021
AI Frameworks Engineer
Intel Corporation, Russia
2017-2018
Software Development Engineer
Intel Corporation, Russia
2014-2017
Software Development Intern (Intel corp.),
Software Engineer I, Engineer Trainee (OOO MERA)
Senior AI Frameworks Engineer
Intel Corporation, Germany (from 2022), Russia (till 2022)
2018-2021
AI Frameworks Engineer
Intel Corporation, Russia
2017-2018
Software Development Engineer
Intel Corporation, Russia
2014-2017
Software Development Intern (Intel corp.),
Software Engineer I, Engineer Trainee (OOO MERA)
2021-2023
Master of Sciences: Cognitive Neuroscience
Higher School of Economics of Moscow (HSE)
GPA: A
10/2022 - 04/2023
Exchange semester in Interdisciplinary Neuroscience
Goethe University at Frankfurt Am Main
Courses: "Introduction into Neuroscience I - Lecture part"
"Computational Modeling of Neuronal Plasticity"
2015-2017
Master of Sciences: Mathematics and Computer Science
Lobachevsky State University of Nizhny Novgorod (UNN)
GPA: B
2011-2015
Bachelor of Science: Mathematics and Computer Science
Lobachevsky State University of Nizhny Novgorod (UNN)
GPA: B
Master of Sciences: Cognitive Neuroscience
Higher School of Economics of Moscow (HSE)
GPA: A
10/2022 - 04/2023
Exchange semester in Interdisciplinary Neuroscience
Goethe University at Frankfurt Am Main
Courses: "Introduction into Neuroscience I - Lecture part"
"Computational Modeling of Neuronal Plasticity"
2015-2017
Master of Sciences: Mathematics and Computer Science
Lobachevsky State University of Nizhny Novgorod (UNN)
GPA: B
2011-2015
Bachelor of Science: Mathematics and Computer Science
Lobachevsky State University of Nizhny Novgorod (UNN)
GPA: B
education
work
2023
Master thesis "Studying the Decoding CNN Training on Unbalanced Data".
Main goal of the thesis was to catch training specificity of provided network for decoding brain recordings (Petrosyan et al, 2021). Case under study was training on unbalanced data where brain sources are not equally strong. There was statistically proven hypothesis of lower decoder accuracy if it neglects activities from the weak sources. One of ideas to improve the situation led to the increase of decoder accuracy from 0.45 to 0.48, namely the averaged correlation coefficient between real finger kinematics and predicted one from the recordings. However, further analysis of the results is necessary.
PROJECTS
TALKS
2023
Presentation of paper «Neural Networks with Dynamic Synapses» (Tsodyks, M. et all, 1998) for the «Introduction into Neuroscience I — Seminar Part» seminar at Goethe University, Frankfurt Am Main on a volunteer basis.
2019
Tech discussion «Graph-subgraph Pattern Matching algorithms» for the audience of Intel Corporation office at Nizhny Novgorod.
2018
Tech discussion «Projective geometry. Pinhole camera model» for the two teams of Intel Corporation office at Nizhny Novgorod.
2018
Tech discussion «Digital Images and digital images processing» for the Russian audience of «Woman In Big Data» project.
work in progress
publications
