Irina Belyaeva, Ph.D Email and Phone Number
Irina Belyaeva, Ph.D work email
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Irina Belyaeva, Ph.D personal email
As Chief Architect at the U.S. Department of Commerce, I lead the design and architecture of an intelligent Search Data Platform and data-driven services, using AI/ML and NLP/LLM techniques. With a Ph.D in Computer Science and over nine years of experience in machine learning and distributed systems, I am passionate about leveraging cutting-edge technologies and methodologies to transform data into insights and improve outcomes.My passion lies in designing and executing innovative solutions for healthcare and lifesciences, leveraging state-of-the-art technologies to convert data into actionable insights and enhance patient outcomes. My core competencies encompass semi-supervised machine learning, deep learning for medical image analysis, complex event processing, high-volume event sourcing, streaming, and analytics.My overarching mission is to propel the fields of artificial intelligence and machine learning for healthcare, social sciences, and lifesciences, contributing to both scientific and social good.
U.S. Department Of Commerce
View- Website:
- commerce.gov
- Employees:
- 3619
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Chief Architect, Generative Ai | Ai Research, Methodology And InnovationU.S. Department Of CommerceWashington, Dc, Us
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Chief Architect, Research And Methodology, InnovationU.S. Department Of Commerce Nov 2023 - PresentWashington, Dc, Us
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Senior Software ArchitectJohns Hopkins Medicine Apr 2021 - Nov 2023Baltimore, Md, UsMachine Learning in Healthcare -
Phd Graduate Researcher, Machine Learning For Brain Imaging Data Analysis And Data FusionUniversity Of Maryland Baltimore County Feb 2016 - Apr 2023Baltimore, Md, UsResearch Scientist in Machine Learning for Signal Processing Lab in Department of Computer Science and Electrical Engineering (CSEE), develop Riemannian optimization methods and models for medical image 4D reconstruction and denoising using tensors and other high-dimensional data representations. Develop architecture for discovering and analyzing brain development patterns from magnetoencephalography (MEG) using high-powered statistical tensor decompositions. Design tensor computational methodology for developing multimodal data-driven fusion brain imaging data, including MEG and functional magnetic resonance imaging (fMRI). Create methods for fMRI spatiotemporal tensor decomposition using high temporal resolution. -
Solutions Architect, Technical LeadCentene Jul 2016 - Mar 2021Develop and implement multi-phased cloud data plans including implementation roadmaps. Design and initiate scalable data ingestion methods to transform multiple datasets. Assess, suggest, and choose technical options to resolve development and integration issues. Create real-time high-volume event-sourcing platform using distributed technologies including Kafka, DataStax Enterprise (NoSQL), Java, and Spark SQL. Design and development of online and offline machine learning algorithms for member behavioral learning. Invent and deploy real-time APIs and data connectors for data collection and use of member interactions from/for internal and external vendors. Promote visibility of measurable events include gaps in care, event-driven actions through APIs, and Member Analytical Platform. Devise various streaming data services for live master data management, enrichment, and building analytical views. Architected Kafka File Processing Engine to enter event data from external vendors.
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Senior Software EngineerJ. Craig Venter Institute Nov 2014 - Jul 2016La Jolla, Ca, UsArranged bioinformatics data mining workflows to construct federated NoSQL datastore from numerous related data sources (Cassandra, Oracle, Postgres, MySQL, flat files). Developed logical and physical data prototype of the subject-oriented integrated biological data warehouse to secure genomic, genetic, and phenotypic datasets, genome annotation results, and image/binary data (Postgres). Devised and executed production quality data analysis pipelines to transfer and process large datasets in parallel with datasets dynamic partitioning, and multithreading (Spark, Spring Batch on Hadoop/Java, Oracle, Postgres). Designed portal federated search (data content, and web content) featuring Elastic Search. Produced software design documents, client presentations. Liaised with domestic and international project stakeholders. ♦ Created diverse set of software components to make large-scale genomics data mining feasible. ♦ Produced Arabidopsis Information Portal (Araport) open-access online community resource for Arabidopsis research producing web-portal for bioinformaticians to perform online genomics research, exploratory data analysis, data mining, and genes browsing, and annotation of new release of Arabidopsis thaliana reference genome assemble, and scientific publications ThaleMine: A Warehouse for Arabidopsis Data Integration and Discovery.” -
Senior Software EngineerMetispace Technologies Jul 2014 - Nov 2014Planned and delivered an algorithmic framework for efficient satellite resource use and consumption resulting in early deployment of safety-critical software compoent by NASA team to decommission outdated software product.
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Software Developer, Software Systems Development & ResearchUniversity Of Maryland Feb 2013 - Jul 2014College Park, Md, UsLiaised with university Biology department researchers and international experts to develop Bioinformatics Ecological statistical modeling software package for Animal Movement Tracking initiative featuring statistical languages and data analysis methods, and data mining algorithms. Created high-level information architecture diagrams documenting system and data flows, core statistical modules using R, and application programming interfaces.
Irina Belyaeva, Ph.D Skills
Irina Belyaeva, Ph.D Education Details
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University Of Maryland Baltimore CountyMachine Learning And Signal Processing -
The Johns Hopkins UniversityComputer Science
Frequently Asked Questions about Irina Belyaeva, Ph.D
What company does Irina Belyaeva, Ph.D work for?
Irina Belyaeva, Ph.D works for U.s. Department Of Commerce
What is Irina Belyaeva, Ph.D's role at the current company?
Irina Belyaeva, Ph.D's current role is Chief Architect, Generative AI | AI Research, Methodology and Innovation.
What is Irina Belyaeva, Ph.D's email address?
Irina Belyaeva, Ph.D's email address is ib****@****ene.com
What schools did Irina Belyaeva, Ph.D attend?
Irina Belyaeva, Ph.D attended University Of Maryland Baltimore County, The Johns Hopkins University.
What are some of Irina Belyaeva, Ph.D's interests?
Irina Belyaeva, Ph.D has interest in Health, Science And Technology, Education, Economic Empowerment.
What skills is Irina Belyaeva, Ph.D known for?
Irina Belyaeva, Ph.D has skills like Software Development, Java Enterprise Edition, Software Project Management, Database Design, Web Services, Data Modeling, Web Development, Data Warehousing, Software Development Life Cycle, Agile Methodologies, Databases, Scrum.
Who are Irina Belyaeva, Ph.D's colleagues?
Irina Belyaeva, Ph.D's colleagues are Andrew N., Alicia Burton, Teh - Lei Liu, Diana Lee, Banetta Williams, Angela Ameen, Millie Harrelson.
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