Applied Research Scientist
Current
Jul 2024 - Present
Who is Mariia Dobko? Overview
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Mariia Dobko is listed as Applied ML Scientist at Illumio, based in Sunnyvale, California, United States. AeroLeads shows a matched LinkedIn profile for Mariia Dobko.
Mariia Dobko previously worked as Applied Research Scientist at Illumio and Machine Learning Researcher at Cleerly. Mariia Dobko holds Master Of Science Information Systems In Health Tech, Computer And Information Sciences, General from Cornell University.
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Illumio
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Profile bio
About Mariia Dobko
My aspiration is to revolutionize tech applications through the latest research in ML and AI. ππ¬ ππ§ ππ§π π’π§πππ«: I have over 6 years (3 full time, 3 part time) of professional experience in Data Science and Machine Learning in multiple industries, including healthcare, oil & gas, retail, e-commerce, energy, and manufacturing. My responsibilities also included pre-sales and consulting. I worked for:- medical and consulting start-ups- research labs in US, Ukraine and the Czech Republic- largest Ukrainian IT software companies- co-founded a MedTech start-upππ¬ π π¬ππ’ππ§ππ’π¬π: I have a total of 7 papers publicly available, all in the Computer Vision domain. I attended multiple scientific conferences and workshops (such as NeurIPS, CVPR, AIME, MICCAI), where I published and presented my work. Developed open-source projects for the Computer Vision community. Led research teams. Given lectures and taught classes on Computer Vision applications.I also sometimes write blogs about science - https://medium.com/@dobko_m
Listed skills include Machine Learning, Python, Applied Mathematics, Data Analysis, and 22 others.
Current workplace
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8 roles
Mariia Dobko work experience
A career timeline built from the work history available for this profile.
Machine Learning Researcher
Full-time internship during Summer 2023, part-time during the academic year.Built a robust scalable model for segmentation of 3D volumes on large dataset of CT scans.Researched and developed a self-supervised learning pre-trained transformer model. Experimenting with learning knowledge about medical imaging data without supervision.
May 2023 - Feb 2024
Computer Vision Researcher
Developed deep learning solutions for cardiology within the Machine Learning for Medical imaging lab at Cornell. Built a robust model for heart segmentation of 3D volumes on large public dataset of CT scans. Built an approach to estimate size of the heart and determine their fit between donors and patients.
Sep 2022 - May 2023
Deep Learning Engineer
Led a comprehensive research initiative, proposing, developing, and maintaining a robust pipeline for lung nodule disease classification and localization in CT scans, thereby contributing to the core functionality of Better Medicine.Analyzed large datasets to identify trends and insights, influencing business decisions.
Mar 2022 - Jul 2022
Computer Vision Researcher
Research lead and engineer on such projects as Anomaly Detection for Endoscopy videos (in collaboration with IBM), Transformer-based Self-Supervised Learning for Medical Images, Weakly Supervised Medical Images Segmentation, and Framework implementation of Neural Nets for Image Matching (in collaboration with Dmytro Mishkin from Czech Technical University.
Jun 2021 - Jun 2022
Machine Learning Engineer
Data analysis, model development, deployment, research, and consulting for presales.Worked on projects for various industries, including oil and gas, energy, healthcare, retail, manufacturing. Created solutions for such tasks as instance image segmentation, semantic segmentation, active learning for image segmentation, text matching, and text.
Aug 2019 - Jul 2021
Junior Data Scientist
Projects: Text based recommendation systems; Unsupervised anomaly detection on textural images Defects detection on images. I worked part-time on engineering tasks, as well as presales.
Jul 2018 - Jan 2019
Junior Data Scientist
Data analysis, Anomaly Detection and Forecasting in Time series (Python).Utilising Google Analytics marketing metrics to automate marketing decisions and optimizations for businesses. Developed a tool to maximize marketing efficiency through analyzing data from various marketing channels to identify patterns, opportunities, and areas for improvement.
Jan 2018 - Jun 2018
Team & coworkers
Colleagues at Illumio
Other employees you can reach at illumio.com. View company contacts →
JM
Jagadeesh M.
Colleague at Illumio
Santa Clara, California, United States, United States
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AS
Andy Solterbeck
Colleague at Illumio
United Kingdom, United Kingdom
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BP
Brian Piper
Colleague at Illumio
Boston, Massachusetts, United States, United States
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AB
Andrzej Buszko
Colleague at Illumio
Los Gatos, California, United States, United States
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HM
Hugo Michielsen
Colleague at Illumio
Petaluma, California, United States, United States
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RB
Rachid B.
Colleague at Illumio
France, France
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RC
Ruchika Chopra
Colleague at Illumio
San Francisco Bay Area, United States, United States
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JB
Jerry Burke
Colleague at Illumio
Greater Houston, United States, United States
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VP
Viacheslav Pobachienko
Colleague at Illumio
Danville, California, United States, United States
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MB
Mike Bussan
Colleague at Illumio
Akron, Ohio, United States, United States
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Jagadeesh M.
Colleague at Illumio
Santa Clara, California, United States, United States
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AS
Andy Solterbeck
Colleague at Illumio
United Kingdom, United Kingdom
View →
BP
Brian Piper
Colleague at Illumio
Boston, Massachusetts, United States, United States
View →
AB
Andrzej Buszko
Colleague at Illumio
Los Gatos, California, United States, United States
View →
HM
Hugo Michielsen
Colleague at Illumio
Petaluma, California, United States, United States
View →
RB
Rachid B.
Colleague at Illumio
France, France
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RC
Ruchika Chopra
Colleague at Illumio
San Francisco Bay Area, United States, United States
View →
JB
Jerry Burke
Colleague at Illumio
Greater Houston, United States, United States
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VP
Viacheslav Pobachienko
Colleague at Illumio
Danville, California, United States, United States
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MB
Mike Bussan
Colleague at Illumio
Akron, Ohio, United States, United States
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5 education records
Mariia Dobko education
Master Of Science Information Systems In Health Tech, Computer And Information Sciences, General
Cornell University
Master Of Science In Applied Information Science
Technion - Israel Institute Of Technology
Bachelor'S Degree, Computer Science
Ukrainian Catholic University
Semester Of Research, Machine Learning
Czech Technical University In Prague
Summer School, French Language And Culture
Institut Catholique De Paris
FAQ
Frequently asked questions about Mariia Dobko
Quick answers generated from the profile data available on this page.
What company does Mariia Dobko work for?
Mariia Dobko works for Illumio.
What is Mariia Dobko's role at Illumio?
Mariia Dobko is listed as Applied ML Scientist at Illumio.
Where is Mariia Dobko based?
Mariia Dobko is based in Sunnyvale, California, United States while working with Illumio.
What companies has Mariia Dobko worked for?
Mariia Dobko has worked for Illumio, Cleerly, Cornell Tech, Better Medicine, and Ukrainian Catholic University Ml Lab.
Who are Mariia Dobko's colleagues at Illumio?
Mariia Dobko's colleagues at Illumio include Jagadeesh M., Andy Solterbeck, Brian Piper, Andrzej Buszko, and Hugo Michielsen.
How can I contact Mariia Dobko?
You can use AeroLeads to view verified contact signals for Mariia Dobko at Illumio, including work email, phone, and LinkedIn data when available.
What schools did Mariia Dobko attend?
Mariia Dobko holds Master Of Science Information Systems In Health Tech, Computer And Information Sciences, General from Cornell University.
What skills is Mariia Dobko known for?
Mariia Dobko is listed with skills including Machine Learning, Python, Applied Mathematics, Data Analysis, Computer Vision, Software Development, Robotics, and C++.
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