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With strong background in Physics and Applied Math, I have a solid understanding of statistics and hands-on experience with machine learning. In 2020 I graduated with a PhD degree in Energy Resources Engineering from Stanford University where I studied computational science and physics-informed machine learning.+ MS degree in Applied Math and Physics+ Solid understanding of probability theory and hands-on experience with machine learning (deep learning, NLP)+ Passionate about research, statistics, data science and machine learning+ Authorized to work in the United States
- Website:
- google.com
- Employees:
- 1
- Company phone:
- 916.253.7820
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Senior Software EngineerGoogle May 2023 - PresentMountain View, Ca, Us
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Software EngineerGoogle Oct 2020 - Apr 2023Mountain View, Ca, Us
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Phd CandidateStanford University Jun 2016 - Oct 2020Stanford, Ca, UsStochastic analysis, uncertainty quantification, physics informed machine learning for subsurface flow and transport in porous mediaHenry J. Ramey, Jr. Fellowship Award for Outstanding Research (2020)Stanford Graduate Fellowship in Science and Engineering (2018-2020)Miller Fellowship Award for High Academic Achievement, Winter 2017 -
Research InternGoogle Jun 2019 - Sep 2019Mountain View, Ca, UsGeoAR Localization team - Developed ML-based uncertainty model of inertial odometry tracking signal improving localization and user experience in a lot of important locations that support AR Walking Navigation
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Technology InternQri Jun 2018 - Sep 2018Houston, Tx, Us- developed an automated workflow for data analysis of well log data, generation of multiple stochastic geological realizations through geostatistical modeling and application of clustering for spatial uncertainty quantification -
Leading SpecialistGazpromneft- Ntc Aug 2014 - Jun 2016St. Petersburg, St.Petersburg, Ru- developed and tested a new method of geological modeling based on the spectral theory - developed the methodology and implemented in C++ the algorithm for automated recognition of lithofacies (application of the machine learning algorithm to the depositional environment study) which was later included in in-house software for geological modeling - prepared scientific papers, conference posters and presentations -
Intern SpecialistGazpromneft- Ntc Aug 2013 - Aug 2014St. Petersburg, St.Petersburg, Ru- participated in development of production design for several oil fields - developed the semi-analytic method for evaluation of optimal well spacing of horizontal wells - coursework: mechanics of porous media, geostatistics, oil field development, applied reservoir simulation
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Junior Laboratory SpecialistJoint Institute For Nuclear Research Aug 2011 - Aug 2013Dubna, Moscow Region, Ru- studied the phase between strong and electromagnetic amplitudes in J/psi -> rho pi through comprehensive processing and analysis of experimental data from the collider experiment BESIII (Beijing, China) -
Summer InternFermilab Jun 2012 - Aug 2012Batavia, Il, Us- investigated the passband modes excitation in superconducting RF cavities through numerical simulation of charged particles motion in microwave electromagnetic field of RF cavity
Olga Fuks Skills
Olga Fuks Education Details
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Stanford UniversityEnergy Resources Engineering -
Moscow Institute Of Physics And Technology (State University) (Mipt)Applied Math And Physics
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Moscow Institute Of Physics And Technology (State University) (Mipt)Applied Math And Physics
Frequently Asked Questions about Olga Fuks
What company does Olga Fuks work for?
Olga Fuks works for Google
What is Olga Fuks's role at the current company?
Olga Fuks's current role is Senior Software Engineer at Google.
What is Olga Fuks's email address?
Olga Fuks's email address is of****@****ord.edu
What is Olga Fuks's direct phone number?
Olga Fuks's direct phone number is +165079*****
What schools did Olga Fuks attend?
Olga Fuks attended Stanford University, Moscow Institute Of Physics And Technology (State University) (Mipt), Moscow Institute Of Physics And Technology (State University) (Mipt).
What skills is Olga Fuks known for?
Olga Fuks has skills like Data Analysis, Machine Learning, Statistics, C++, Matlab, Python, Statistical Modeling, Research, Microsoft Office, Eclipse, Team Work, Numerical Simulation.
Who are Olga Fuks's colleagues?
Olga Fuks's colleagues are Lloyd Garmadon, Ahson Hasnain, Kat Cass, David Choi, Pablo Gomez, Jianqiao Zhu, Civil . Abdullah.
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