Haris Smajlović, PhD
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Research
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Postdoctoral Associate in Biomedical Informatics and Data Science
Education
PhD
University of Victoria, Computer Science (2024)
University of Victoria, Computer Science (2024)
MSc
University of Sarajevo, Theoretical Computer Science (2017)
University of Sarajevo, Theoretical Computer Science (2017)
BSc
University of Sarajevo, Mathematics (2015)
University of Sarajevo, Mathematics (2015)
Publications Overview
- 13 Publications
- 59 Citations
- 1 Yale Co-Author
Featured Publication
Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing
Hoon Cho Lab
Publications Overview
- 13 Publications
- 59 Citations
- 1 Yale Co-Author
Featured Publication
Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing
Hoon Cho Lab
Publications Overview
- 13 Publications
- 59 Citations
- 1 Yale Co-Author
Featured Publication
Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing
Hoon Cho Lab
Honors
- 3 Other Awards
Activities
- 7 Activities
- 2016 - 2025
- 5 Countries
Service
- 1 Committee
- 1 Professional Organization
Honors
- 3 Other Awards
Activities
- 7 Activities
- 2016 - 2025
- 5 Countries
Service
- 1 Committee
- 1 Professional Organization
Honors
- 3 Other Awards
Activities
- 7 Activities
- 2016 - 2025
- 5 Countries
Service
- 1 Committee
- 1 Professional Organization
Contact Info
Titles
Postdoctoral Associate in Biomedical Informatics and Data Science
Education
PhD
University of Victoria, Computer Science (2024)
University of Victoria, Computer Science (2024)
MSc
University of Sarajevo, Theoretical Computer Science (2017)
University of Sarajevo, Theoretical Computer Science (2017)
BSc
University of Sarajevo, Mathematics (2015)
University of Sarajevo, Mathematics (2015)
Publications Overview
- 13 Publications
- 59 Citations
- 1 Yale Co-Author
Featured Publication
Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing
Hoon Cho Lab
Publications Overview
- 13 Publications
- 59 Citations
- 1 Yale Co-Author
Featured Publication
Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing
Hoon Cho Lab
Publications Overview
- 13 Publications
- 59 Citations
- 1 Yale Co-Author
Featured Publication
Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing
Hoon Cho Lab
Honors
- 3 Other Awards
Activities
- 7 Activities
- 2016 - 2025
- 5 Countries
Service
- 1 Committee
- 1 Professional Organization
Honors
- 3 Other Awards
Activities
- 7 Activities
- 2016 - 2025
- 5 Countries
Service
- 1 Committee
- 1 Professional Organization
Honors
- 3 Other Awards
Activities
- 7 Activities
- 2016 - 2025
- 5 Countries
Service
- 1 Committee
- 1 Professional Organization
Contact Info
About
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Titles
Postdoctoral Associate in Biomedical Informatics and Data Science
Biography
Postdoctoral Associate at the Hoon Cho Lab at the BIDS department of Yale School of Medicine 🇺🇸.
Previously, a Ph.D. student at the 0xTCG lab at the University of Victoria 🇨🇦, under the supervision of prof. Ibrahim Numanagić. Before that, a lecturer at the Department of Mathematics of the University of Sarajevo and a lead software engineer at Symphony.is 🇧🇦.
Graduated from the Faculty of Mathematics and Natural Sciences of the University of Sarajevo 🇧🇦, under the supervision of prof. Adis Alihodžić.
Originally from Srebrenik, a medieval gem of beautiful Bosnia and Herzegovina.
Interested in privacy-enhancing technologies, programming languages, and securing biomedical workflows (Google Scholar).
Notable projects
- Sequre & Shechi (author)
- Vectron (co-author)
- Codon (paper co-author)
Last Updated on December 14, 2025.
Appointments
Biomedical Informatics & Data Science
Postdoctoral AssociatePrimary
Other Departments & Organizations
Education & Training
- PhD
- University of Victoria, Computer Science (2024)
- MSc
- University of Sarajevo, Theoretical Computer Science (2017)
- BSc
- University of Sarajevo, Mathematics (2015)
Research
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Overview
Haris specializes in securing biomedical workflows through the synergy of compilers and privacy-enhancing technologies. He authored Sequre and Shechi, programming frameworks that foster the adoption of secure technologies in the biomedical community, and aided the development of Codon, a high-performance compiler framework for Python.
Medical Research Interests
Computer Security; Genetic Privacy; Programming Languages
Public Health Interests
Bioinformatics
ORCID
0000-0002-7722-5369- View Lab Website
Hoon Cho Lab
Research at a Glance
Yale Co-Authors
Frequent collaborators of Haris Smajlović's published research.
Publications Timeline
A big-picture view of Haris Smajlović's research output by year.
Hyunghoon (Hoon) Cho, PhD
13Publications
59Citations
Publications
Featured Publications
Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing
Smajlović H, Shajii A, Berger B, Cho H, Numanagić I. Sequre: a high-performance framework for secure multiparty computation enables biomedical data sharing. Genome Biology 2023, 24: 5. PMID: 36631897, PMCID: PMC9832703, DOI: 10.1186/s13059-022-02841-5.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsSecure multiparty computationHigh-performance frameworkMultiparty computationMPC applicationsSensitive biomedical dataRapid application developmentPython programming languageCompile-time optimizationBiomedical data sharingCryptographic toolsApplication developmentInvolved entitiesProgramming languageBioinformatics tasksData sharingBiomedical dataPrivate informationComputationFrameworkUsabilitySharingApplicationsSyntaxPerformanceTaskCodon: A Compiler for High-Performance Pythonic Applications and DSLs
Ariya Shajii, Gabriel Ramirez, Haris Smajlović, Jessica Ray, Bonnie Berger, Saman Amarasinghe, Ibrahim NumanagićPeer-Reviewed Original Research
2026
Secure distributed multiple imputation enables missing data inference for private data proprietors
Smajlović H, Lian Y, Long Q, Numanagić I, Jiang X. Secure distributed multiple imputation enables missing data inference for private data proprietors. Npj Digital Medicine 2026, 9: 88. PMID: 41513815, PMCID: PMC12852785, DOI: 10.1038/s41746-025-02271-0.Peer-Reviewed Original ResearchAltmetricConceptsSecure multiparty computationElectronic health recordsData proprietorSharing of electronic health recordsReal-world datasetsState-of-the-artMultiparty computationPrivacy issuesDiverse datasetsPractical runtimeData inferenceHealth recordsDatasetCentral databaseHealthcare providersPrivacyRuntimeMultiple imputationMultiple institutionsPatient outcomesSecurityComputerStatistical imputationCollaborationICU admission
2025
Shechi: A Secure Distributed Computation Compiler Based on Multiparty Homomorphic Encryption.
Smajlović H, Froelicher D, Shajii A, Berger B, Cho H, Numanagić I. Shechi: A Secure Distributed Computation Compiler Based on Multiparty Homomorphic Encryption. 2025, 2025: 7703-7722. PMID: 41685295, PMCID: PMC12892296.Peer-Reviewed Original ResearchCitationsConceptsMultiparty homomorphic encryptionSecure multiparty computationHomomorphic encryptionState-of-the-art solutionsState-of-the-artHigh-performance computingMultiparty computationAnalysis tasksPython syntaxCompiler optimizationsExpert developersEnd usersRuntime improvementEncryptionData typesEfficient handlingComputational frameworkComputer compilerInput dataComputerCode expressionsDatasetMultipartyCompilationPrincipal component analysisShechi: A Secure Distributed Computation Compiler Based on Multiparty Homomorphic Encryption
An easy-to-use programming framework for secure high-performance computing on distributed datasets.Peer-Reviewed Original ResearchVectron: A Dynamic Programming Auto-vectorization Framework
Sourena Naser Moghaddasi, Haris Smajlović, Ariya Shajii, Ibrahim NumanagićPeer-Reviewed Original ResearchVectron: A Dynamic Programming Auto-vectorization Framework
Moghaddasi S, Smajlović H, Shajii A, Numanagić I. Vectron: A Dynamic Programming Auto-vectorization Framework. 2025, 644-659. DOI: 10.1145/3696443.3708963.Peer-Reviewed Original ResearchConceptsSingle Instruction Multiple DataGraphics processing unitsMultiple problem instancesDP algorithmInstruction Multiple DataDynamic programmingC++ implementationAuto-vectorizationCode changesAutomatic vectorizationComputational bottleneckMultiple dataProcessing unitProblem instancesAlgorithmAlgorithmic strategiesLarge problemsDP implementationImplementationDiverse fieldsGraphicsCPUSpeedupComputational methodsInstances
2023
Codon: A Compiler for High-Performance Pythonic Applications and DSLs
Shajii A, Ramirez G, Smajlović H, Ray J, Berger B, Amarasinghe S, Numanagić I. Codon: A Compiler for High-Performance Pythonic Applications and DSLs. 2023, 191-202. DOI: 10.1145/3578360.3580275.Peer-Reviewed Original ResearchCitationsAltmetricConceptsDomain-specific languageHigh-level languagesGeneral-purpose languagesLow-level languagesDomain-specific language frameworkMulti-party computationCompiler extensionsIntermediate representationData compressionParallel programsPython syntaxPython programBurdensome tasksPythonCompilationLanguagePerformanceC++SemanticsUsabilityComputerSyntaxDomainTaskRepresentation
2022
Sequre: a high-performance framework for rapid development of secure bioinformatics pipelines.
Smajlović H, Shajii A, Berger B, Cho H, Numanagić I. Sequre: a high-performance framework for rapid development of secure bioinformatics pipelines. IEEE International Symposium On Parallel & Distributed Processing Workshops 2022, 2022: 164-165. PMID: 35958356, PMCID: PMC9364365.Peer-Reviewed Original ResearchCitationsSequre: a high-performance framework for rapid development of secure bioinformatics pipelines
Smajlović H, Shajii A, Berger B, Cho H, Numanagić I. Sequre: a high-performance framework for rapid development of secure bioinformatics pipelines. 2022, 00: 164-165. DOI: 10.1109/ipdpsw55747.2022.00040.Peer-Reviewed Original ResearchCitationsConceptsSecure multiparty computationMultiparty computationPrivacy protection mechanismPrivacy-enhancing technologiesHigh-performance frameworkData access restrictionsSecurity attacksData leaksSensitive datasetsLarge datasetsRaw dataHealth Insurance PortabilityAccess restrictionsProtection mechanismsRapid developmentComputational genomicsAccountability ActComputationInsurance PortabilityDatasetGenomic data collectionMPC systemData collectionPortabilityBioinformatics pipeline
Academic Achievements & Community Involvement
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Featured
activity Invited talk: Enabling Accessible and Secure Federated AI by Design
02/11/2025 - 02/14/2025Oral PresentationApplied Machine Learning Days (AMLD EPFL)DetailsLausanne, VD, SwitzerlandCollaboratorshonor Golden Badge of University of Sarajevo
12/01/2017Other AwardUniversity of SarajevoDetailsBosnia and Herzegovina
Activities
activity Genome Biology
2023 - PresentJournal ServiceRevieweractivity ACM SIGPLAN International Conference on Compiler Construction
2024 - PresentJournal ServiceRevieweractivity Intelligent Systems for Molecular Biology (ISMB)
2020 - PresentJournal ServiceRevieweractivity Research in Computational Molecular Biology (RECOMB)
2020 - PresentJournal ServiceRevieweractivity Secure Federated Association Studies and Risk Modeling
10/08/2025 - 10/10/2025Oral PresentationCEGS Annual MeetingDetailsPittsburgh, PA, United States
Honors
honor Graduate Award of University of Victoria
12/01/2024, 12/01/2023, 12/01/2022, 12/01/2021, 12/01/2020Other AwardUniversity of VictoriaDetailsCanadahonor Ph.D. Fellowship
12/01/2021, 12/01/2020Other AwardUniversity of VictoriaDetailsCanada
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Locations
101 College Street
Lab
Wing 1021, Fl 10th
New Haven, CT 06510