Ievgeniia Gutenko
Machine Learning Engineering Manager@ Apple
San Francisco, California, United States
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Ievgeniia Gutenko is a dedicated researcher with 12.1 years of experience in scientific visualization, medical imaging, and computer graphics. She is particularly interested in the development of medical applications for mHeath and medical image processing. Currently, she is investigating information visualization approaches for data mining large networks and developing new scientific visualization algorithms and methods for image processing. Ievgeniia has worked at Apple as a Maps Data Scientist and Data Science Intern, as well as at IBM as a Watson Research Intern. She also has experience as a Research Assistant at Stony Brook University and as a Teaching Assistant at TA.
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Research Details
Skills & Insights
Colleagues

Emails and Phone Numbers

@gmail.com
@stonybrook.edu
@apple.com
@neiu.edu
+1 631444****
+1 408996****
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About

Ievgeniia is a dedicated researcher in the area of scientific visualization, medical imaging and computer graphics. She is particularly interested in the development of medical applications for mHeath and medical image processing. Currently investigating information visualization approaches for data mining large networks. Also working on development of the new scientific visualization algorithms and methods for image processing.

Work Experience

1 Apple Park Way, Cupertino, California, 95014, US

Computers and Electronics Manufacturing

165716
Phone
+1 4089961010
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Ievgeniia Gutenko's Professional Milestones

  • Watson Research Intern (2014-06-01~2014-08-01): Conducted in-depth research, fostering collaboration between academic organizations and advancing knowledge.
  • Machine Learning Engineering Manager (2015-05-01~2015-08-01): Designing and implementing scalable machine learning algorithms to drive continuous improvement and enhance operational efficiency.
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Education

Stony Brook University
Stony Brook University

Computer Science,

Philosophy,

Doctorates,

Doctor Of Philosophy

1293840000-1483228800
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