Priyamvada(Priya) Desai
Rsch Technical Mgr 1, Technology & Digital Solutions
Bio
I am a physicist by training and data scientist at heart. As the Biomedical Informatics R&D lead of the Research IT team, I am passionate about our mission to build the next generation of products to leverage healthcare research and analytics. As the Product owner for STARR, Stanford Medicine Research data Repository, and STARR-OMOP, Stanford's next-generation Clinical Data Warehouse (CDW), I am super excited to be part of the vision to create a single integrated data lake containing clinical data of different modalities such as radiology, pathology, and bedside monitoring. Our goal is to bring clinical data from its raw state to an “analysis-ready” state and eventually make the data “self-service" in order to support the growing use of this data to derive novel insights, support patient care, and improve care quality using Artificial Intelligence (AI) and Machine Learning (ML) approaches.
I’ve had the privilege of working on many different data-centric projects here at Stanford and elsewhere, including developing the algorithms for SciReader: a cloud-based recommender system for biomedical literature. Prior to transitioning to healthcare and medicine, I was a research analyst at Chandra X-ray Observatory and the Solar Dynamics Observatory.
Current Role at Stanford
Manager, Biomedical Informatics R &D
Education & Certifications
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Certification, UC San Diego, Data Mining (2013)
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MS, Indian Institute of Technology, Physics
Projects
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STARR-OMOP, Stanford University
Location
Stanford, CA
Personal Interests
Painting, gardening, sewing, cooking, and hiking!
Professional Interests
Women in Data Science, Women in STEM, OHDSI Network
All Publications
- A new paradigm for accelerating clinical data science at Stanford Medicine arXiv 2020
- SciReader: A Cloud-based Recommender System for Biomedical Literature bioRxiv 2018
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NEW IDENTIFICATIONS OF Fe IX, Fe x, Fe XI, Fe XII, AND Fe XIII LINES IN THE SPECTRUM OF PROCYON OBSERVED WITH THE CHANDRA X-RAY OBSERVATORY
ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES
2014; 210 (2)
View details for DOI 10.1088/0067-0049/210/2/16
View details for Web of Science ID 000331239000002
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A New Temperature Determination Using the Fe XVII Emission of Capella
ASTRONOMICAL SOC PACIFIC. 2012: E787–E794
View details for Web of Science ID 000426381500085
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Laboratory Calibration of Density-Dependent Lines in the Extreme Ultraviolet Spectral Region
AMER INST PHYSICS. 2012: 136–41
View details for DOI 10.1063/1.4707868
View details for Web of Science ID 000304804300021
- Line Identifications and Spectral Diagnostics of Capella and Procyon: Digging Deeper into the spectrum. Line Identifications and Spectral Diagnostics of Capella and Procyon: Digging Deeper into the spectrum. 2010
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Status of Line identifications in the Chandra LETG Spectrum of Procyon
AMER INST PHYSICS. 2009: 588-+
View details for Web of Science ID 000264752500109
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An assessment of the Fe XVIII and Fe XIX line ratios from the Chandra grating observations of Capella
ASTROPHYSICAL JOURNAL
2005; 625 (1): L59–L62
View details for DOI 10.1086/430882
View details for Web of Science ID 000229047200015
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Progress and plans for the astrophysical plasma emission code (APEC)
AMER INST PHYSICS. 2005: 405–7
View details for Web of Science ID 000231041800054
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Comparison of Fe XVIII and Fe XIX line emissions with spectral models
AMER INST PHYSICS. 2005: 155–57
View details for Web of Science ID 000231041800017