Praveen Kumar

Employment

• University of New Mexico Health Sciences Center Research Assistant Professor
  2024 - Present
• University of New Mexico Health Sciences Center Data Scientist II
  2022 - 2024
• University of New Mexico Health Sciences Center Research Assistant
  2016 - 2022
• Interglobe Associate Project Manager
  2013 - 2015
• Interglobe System Analyst
  2011 - 2013
• Interglobe Sr. Software Engineer
  2007 - 2011
• Fiserv System Analyst
  2006 - 2007
• DXC Technology Software Engineer
  2004 - 2006
• Tech Mahindra Ltd Software Engineer
  2003 - 2004

Education

• University of New Mexico Ph.D.
  2018 - 2023
• University of New Mexico MS
  2015 - 2017
• Sardar Vallabhbhai National Institute of Technology Surat Bachelor of Engineering
  1999 - 2003

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• Detecting Uncoded Self-Harm in Veterans’ Electronic Health Records Using Positive and Unlabeled Learning: Retrospective Cohort Study
  Journal of Medical Internet Research 2026 DOI: 10.2196/89071
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• KG2ML: integrating knowledge graphs and positive unlabeled learning for identifying disease-associated genes
  Frontiers in Bioinformatics 2026 DOI: 10.3389/fbinf.2025.1727953
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• Detecting Undiagnosed Mental Health Conditions Using Positive and Unlabeled Learning: Identifying Uncoded Self-Harm in Veterans’ Electronic Health Records (Preprint)
  2025 DOI: 10.2196/preprints.89071
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• Unsupervised Latent Pattern Analysis for Estimating Type 2 Diabetes Risk in Undiagnosed Populations
  2025 DOI: 10.1145/3765612.3767225
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• The Data Distillery: A Graph Framework for Semantic Integration and Querying of Biomedical Data
  2025 DOI: 10.1101/2025.08.11.666099
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• Detecting Opioid Use Disorder in Health Claims Data With Positive Unlabeled Learning
  IEEE Journal of Biomedical and Health Informatics 2025 DOI: 10.1109/JBHI.2024.3515805
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• Positive Unlabeled Learning Selected Not At Random (PULSNAR): class proportion estimation without the selected completely at random assumption
  PeerJ Computer Science 2024 DOI: 10.7717/peerj-cs.2451
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• Toxicology knowledge graph for structural birth defects
  Communications Medicine 2023 DOI: 10.1038/s43856-023-00329-2
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• Autophagy dark genes: Can we find them with machine learning?
  Natural Sciences 2023 DOI: 10.1002/ntls.20220067
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• A Comprehensive COVID-19 Daily News and Medical Literature Briefing to Inform Health Care and Policy in New Mexico: Implementation Study
  JMIR Medical Education 2022 DOI: 10.2196/23845
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