ALEXANDRA VOLOKHOVAMoscow, Russia

s-volohova@yandex.ru � +7(915)339-57-62

PROFILE

Young master student is very interested in exploring new horizons of deep learning

EDUCATION

Moscow Institute of Physics and Technology September 2018 - PresentMaster student Overall GPA: 4.6/5Department of Innovation and High TechnologyData Analysis

Yandex School of Data Analysis September 2017 - June 2019Master Student Overall GPA: 4.2/5Big Data program

Moscow Institute of Physics and Technology September 2014 - July 2018Bachelor student Overall GPA: 4.9/5Department of General and Applied PhysicsPhysics of fundamental interactions and elementary particles

EXPERIENCE

Bayesian Methods Research Group February 2019 - PresentMaster’s research

· Study properties of Neural Ordinary Differential Equations and Continuous Normalising Flows

HSE, Laboratory of Methods for Big Data Analysis July 2018 - August 2018Summer internship

· Worked in team of five researchers on RICH detector fast simulation task. Dealt with data preprocess-ing, metrics evaluating and generative models engineering.

· Results were presented at 10th International workshop on Ring Imaging Cherenkov Detectors

CERN, Compact Muon Solenoid experiment &MIPT, Laboratory of High Energy Physics September 2016 - July 2018Undergraduate Research

· Studied decay channels of charged B-meson.· Improved accuracy of B-meson decay channels branching ratio.· Reported results on internal CERN web-meeting· Successfully defended bachelor thesis

PUBLICATIONS

· Derkach D, Kazeev N, Ratnikov F, Ustyuzhanin A, Volokhova A. Cherenkov detectors fast simulationusing neural networks. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spec-trometers, Detectors and Associated Equipment. 2019 Jan 19.Paper was presented at 10th International workshop on Ring Imaging Cherenkov Detectors, 29th July2018, Moscow, Russia

· Atanov A, Volokhova A, Ashukha A, Sosnovik I, Vetrov D. Semi-Conditional Normalizing Flows forSemi-Supervised Learning. arXiv preprint arXiv:1905.00505. 2019 May 1.Paper was presented at Invertible Neural Nets and Normalizing Flows Workshop (ICML), July 2019,Long Beach, California

PRESENTATIONS

· Volokhova A. ”Neural ODE and FFJORD. Reproducition and extention of experiments”, poster at East-ern European Machine Learning Summer School, July 2019

· Volokhova A. ”Neural Ordinary Differential Equations”, talk at ML Seminar, HSE Study Center ”Voronovo”,June 2019 (slides)

· Volokhova A. ”Neural Ordinary Differential Equations”, talk at DataFest conference, Moscow, May2019, (slides)

· Volokhova A. ”Continuous Normalizing flows”, talk at BayesGroup seminar, Moscow, Samsung AICenter, February 2019 (video, slides)

SKILLS

Languages Russian (native), English (B1), German (A1)Personal listening, empathy, open-mindedness, creativity, responsibilityCommunication public speaking, presentations, class lectures, work in teamProgramming C++, PythonData analysis data structure exploration, experiments setup and analysisSoftware & Tools scikit-learn, TensorFlow, PyTorch, LaTeX

RELEVANT COURSES

Deep Learning PythonMachine Learning C++Probability and Statistics Algorithms and Data StructuresStatistics in ML Parallel and Distributed ComputingBayesian Methods for Machine Learning Linear AlgebraBayesian Deep Learning CalculusNatural Language Processing Approximate methods of analytic calculationsLarge Scale Machine Learning Machine Learning Engineering

HONORS

· Increased State Academic Scholarship September 2017 - January 2018for public activities

· Phystech Foundation scholarships September 2016 - July 2017,for academic excellence February 2015 - January 2016

SCHOOL ACHIEVEMENTS

· Graduated high school with the highest honors and won prizes in the following competitions: Olympiad“Phystech” (physics, mathematics), Olympiad “Lomonosov” (physics, mathematics, Russian language),all-Russian Olympiad (municipal and regional stages in physics and mathematics), Moscow Olympiadof schoolchildren (physics), ”Step into the future” (physics), Metropolitan Physics and MathematicsOlympiad of MIPT

ACTIVITY

Python Programming, High School of Economics, tutor

Integration Korczak’s children camp ”Nash Dom”, volunteer

Student theater ”STEM FOPF”, actress, co-producer, scenarist, painter

MIPT Olympiad summer school, tutor

Master classes on acting skills, tutor

Master classes on painting, tutor

International Floral-Design School ”Nicole”, graduate