Eisa Mahyari, Ph.D.

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CORE SKILLS

Summary Statement

I am a computational biologist and technical leader focused on applied machine learning (ML) and artificial intelligence (AI) for translational biomedical research. Currently, I lead the ML/AI and spatial omics projects at the Vaccine and Gene Therapy Institute (VGTI), directing technical strategy, building reproducible analysis systems, and supervising junior computational scientists.

My work spans statistical inference, high-dimensional multi-omics integration (single-cell and spatial transcriptomics and proteomics), and development of deployable analytical tools (pipelines, interactive visualizations, and research software). In biology and medicine, I specialize in immunology, infectious diseases, and reproductive biology, translating complex experimental questions into validated computational methods and actionable biological insights.

I am most effective at bridging science and engineering: setting rigorous evaluation standards, creating scalable workflows, communicating results to cross-disciplinary teams, and driving adoption of computational products in active research programs.

Domains of Research Expertise & Interest

• Computational Science: Statistical inference and machine learning, with emphasis on matrix and tensor decomposition, transfer learning, and causal and study-design aware modeling.
• Foundation Models: Development, adaptation, and evaluation of foundation models for biomedical data, including fine-tuning, benchmarking, robustness testing, and domain adaptation.
• Large Language Models (LLMs): Retrieval-augmented generation, instruction tuning, and evaluation for biomedical research workflows (literature synthesis, protocol assistance, phenotype extraction, and structured knowledge representation).
• Microscopy & Radiology Image Analysis: Quantitative image processing and computer vision for histology and radiology, including segmentation, feature extraction, representation learning, and multi-modal integration with omics and clinical data.
• Immunology: Adaptive immunity with a focus on T cell biology and T cell receptors (TCRs), spanning human, rhesus, and murine models.
• Sex and Gender Biased Immune Function: Mechanistic investigation of X-chromosome regulation and immune-relevant gene dosage effects; leveraging conditions that alter X-chromosome expression (for example, Klinefelter syndrome) as models to study immune phenotypes.
• Reproductive Biology: Testis biology and the genetics of infertility across human, rhesus, and murine systems; integration of endocrine and immune regulation where relevant.
• Infectious Diseases: Host–pathogen interactions and immune responses in HIV and simian immunodeficiency virus (SIV), SARS-CoV-2, Zika, yellow fever, dengue, and Mycobacterium tuberculosis.
• Oncology: Immune-oncology biomarkers and mechanisms, including immune checkpoints and regulatory pathways relevant to diagnosis, prophylaxis, and therapeutic response.

Technical skills

• Data science and machine learning: Competent in supervised and unsupervised machine learning techniques (e.g., random forests, SVM, clustering, dimensionality reduction) and deep learning frameworks (e.g., TensorFlow, PyTorch) for predictive modeling and data interpretation.
• Bioinformatics: Proficient in next-generation sequencing (NGS) and multi-omics data, including RNA-seq, whole-genome sequencing (WGS), whole-exome sequencing (WES), ChIP-seq, ATAC-seq, single-cell, and spatial sequencing. Using tools such as Bowtie, BLAST, BWA, GATK, SAMtools, STAR, and HTSeq for DNA/RNA alignment, variant calling, and transcript quantification.
• Single-cell, spatial, and imaging ecosystems: toolchains for single-cell and spatial analysis (e.g., Seurat/Scanpy) and biomedical imaging (e.g., QuPath/Fiji, DICOM handling, MONAI) where applicable.
• Advanced statistical and computational methods: Proficient in Bayesian inference, survival analysis, mixed-effects modeling, differential expression analysis, dimensionality reduction (PCA, UMAP, t-SNE, SDA), and advanced regularization techniques, enabling complex biological insights from high-dimensional datasets.
• Mathematical modeling: Systems Biology and Physiological Based Pharmacokinetic (PBPK) modeling with applied Markov Chain Monte Carlo.
• Cloud computing and HPC: Experience with high-performance computing (HPC) environments and cloud platforms such as AWS, Google Cloud Platform (GCP), and Azure, utilizing tools like Docker, Conda, and Slurm for scalable data processing and pipeline deployment.
• Programming languages: Expertise in R, Python, and Bash scripting for data analysis, automation, and pipeline development.
• Software engineering and reproducible workflows: Git-based development, testing, documentation, and workflow orchestration (e.g., Snakemake/Nextflow), with continuous integration and continuous delivery (CI/CD) and containerized deployment practices.
• Data engineering and databases: Structured Query Language (SQL) data access, Extract Transform Load (ETL) pipeline design, and application programming interface (API) integration for scalable data products.
• Model validation and deployment: rigorous evaluation (calibration, external validation), interpretability, uncertainty quantification, and monitoring for production-oriented modeling.
• Data visualization: Skilled in creating publication-quality and interactive data visualizations using ggplot2, Matplotlib, Plotly, and Shiny, along with automated and reproducible reporting in HTML and R Markdown.

Professional Experience

2024 - Present

Lead Computational Biologist, AI & Spatial Omics (Research Assistant Professor) Lab of Jacob D. Estes, Ph.D. — Vaccine & Gene Therapy Institute (VGTI), Oregon National Primate Research Center (ONPRC), Oregon Health & Science University (OHSU)

• Lead the lab’s ML/AI and spatial omics program, setting technical direction, research roadmap, and standards for reproducible analysis.
• Manage and mentor junior computational scientists through project planning, technical guidance, and code review.
• Develop machine learning models and statistical frameworks for spatial transcriptomics and highly multiplexed imaging and sequencing assays.
• Build and maintain end-to-end pipelines (quality control, integration, modeling, visualization, and reporting) for large-scale single-cell and spatial omics datasets.
• Deliver internal tools and interactive dashboards to accelerate biological interpretation and decision-making for ongoing studies.
• Partner with experimental scientists to define success metrics, validate findings, and drive adoption of computational products in active research programs.

2022 - 2024

Research Assistant Professor, Computational, OMICs, Translational Mammalian Reproduction
Lab of Donald F. Conrad, Ph.D. - Division of Genetics, ONPRC-OHSU

• Lead computational research projects to analyze high-dimensional multi-omics data, advancing translational research in testis biology and male infertility.
• Oversee the design, development, and refinement of data pipelines, enabling the seamless integration and analysis of genomic, transcriptomic, and epigenomic data to identify biomarkers and improve understanding of reproductive genetics.
• Mentor and supervise graduate students and lab members, providing training in statistical methodologies, computational tools, and project management to enhance team capability.
• Collaborate cross-functionally with biologists, geneticists, and clinical researchers to translate complex data into actionable insights, driving forward research initiatives with a strategic focus on clinical relevance and innovation.
• Managed collaborative, multi-institutional projects, coordinating resources and ensuring robust quality control in data integrity and analysis.
• Collaborated with cross-functional teams, including R&D, IT, engineering, veterinarians, and clinicians.

2018 - 2022

Computational Biologist, Molecular Immunopathology - Research Associate
Lab of Benjamin N. Bimber, Ph.D. - Primate Genetics, ONPRC-OHSU

• Developed hypotheses and transformed complex immunogenomic data into key insights that advance the understanding of immunopathology and identify genomic signatures of pathogen infection, contributing to new therapeutic directions and identification of diagnostic biomarkers.
• Designed and implemented pipelines, algorithms, and machine learning models for multi-omics analysis, especially single-cell transcriptomics, to uncover novel genetic markers and disease mechanisms.
• Delivered comprehensive technical training in computational biology and machine learning to researchers and students, fostering expertise in data analysis, statistical programming, and project-based learning.

2021 - 2022

Biostatistics & Computational Biology Consultant
Drug Development & Testing for Nonalcoholic Steatohepatitis (NASH) - CytoDyn, USA

• Established and executed scalable analysis frameworks for multi-omics clinical data, integrating machine learning and statistical methods to support drug development for NASH.
• Conducted quality control on complex clinical datasets, ensuring data reliability and supporting milestones for clinical-stage programs.
• Partnered with cross-functional teams, translating statistical findings into actionable clinical insights that guided drug development and trial decisions, thereby enhancing trial outcomes.

2018 - 2022

Computational Biologist, Reproductive Biology - Research Associate
Lab of Donald F. Conrad, Ph.D. - Reproductive Genetics, ONPRC-OHSU

• Identified genomic and transcriptomic signatures that differentiate clinical profiles in male infertility, utilizing scRNA-seq and integrative omics approaches.
• Designed and implemented scRNA-seq experiments with murine models to investigate specific hypotheses, advancing translational applications in reproductive health.
• Developed and customized bioinformatics algorithms, adapting emerging methodologies to lab-specific needs for data analysis, quality control, and reproducibility.
• Collaborated closely with a multidisciplinary team of scientists, engineers, and clinicians to drive discoveries and innovation in reproductive genetics.

2016 - 2018 Doctoral Candidate, DMICE-BCB, OHSU. Developed novel machine learning framework for automated classification of rare cells in single-cell RNA-seq data. 2013 - 2016 Doctoral Student, DMICE-BCB, OHSU.

Research Involvement:

• Genome-based Bioinformatics, Assessment of bioinformatics pipelines identifying genomic structural variants across several sequenced Gibbons. Lucia Carbone Ph.D.

• Computational phenotyping in cancer cell lines, CyTOF-based computational analysis of phenotypic heterogeneity in breast cancer-derived cell in the context of combinatory anti-cancer drug treatments to identify sensitive phenotypic subtypes within several breast cancer cell lines. Paul T. Spellman Ph.D.

• Computational immunophenotyping, CyTOF-based computational immunophenotypic analysis of a unique population of tuberculosis (TB)-recognizing T-cells known as mucosal-associated invariant T (MAIT) cells. David M. Lewinsohn M.D./Ph.D.

2008 - 2012 Sr. Research Associate, Louis Picker M.D., Vaccine & Gene Therapy Institute (VGTI), OHSU. Contribution: Performed experiments, analyzed flow cytometric data, performed statistical tests and developed reports and presentation materials.

2005 - 2007 Research Associate, Clinical Research Investigative Studies Program (CRISP) and Critical Care Academics Associates Program (CCAAP), OHSU. Contribution: Acquired clinical data from patient charts for ongoing studies and identified candidates for enrollment into qualifying research in the emergency department and the intensive care units.

Personal & Professional Attributes

• Strategic and Business-Oriented: Strong strategic thinker with excellent business acumen, aligning initiatives with organizational goals to drive impactful outcomes.
• Collaborative Leadership: Proven leader with a collaborative approach, fostering teamwork across multidisciplinary environments.
• Entrepreneurial Mindset: Resourceful and adaptable; thrives in fast-paced, dynamic settings and embraces new challenges with innovative solutions.
• Hands-On and Tactical: Skilled in both strategic planning and hands-on execution, with a focus on translating high-level goals into actionable results.
• Results-oriented Problem Solver: Dedicated to achieving measurable outcomes through effective problem-solving and a focus on continuous improvement.
• Mission-Driven: Passionate about advancing science and health through meaningful, mission-aligned contributions.
• Integrity and Trustworthiness: Upholds the highest standards of integrity, respect, and reliability in professional and personal interactions.

Education

• Post-Ph.D. – Mammalian Reproduction, Oregon Health & Science University (OHSU), Oregon National Primate Research Center (ONPRC), Division of Genetics
  Advisor: Prof. Don F. Conrad

• Ph.D. – Bioinformatics and Computational Biology, OHSU, Department of Medical Informatics and Clinical Epidemiology (DMICE), Division of Bioinformatics and Computational Biology (BCB), Portland, OR
  Dissertation: “Robust and reproducible classification of rare cellular subsets/signatures (RCS) in single-cell technologies within a transfer learning framework.” (doi:10.6083/NX9EZJ)
  Committee: Shannon K. McWeeney, Ph.D., David M. Lewinsohn, M.D./Ph.D., Michael Mooney, Ph.D., Christina Zheng, Ph.D., Evan Lind, Ph.D.
  (2013 – 2018)

• M.S. – Biochemistry and Molecular Biology, OHSU, Division of Environmental and Biomolecular Systems, Portland, OR
  Thesis: “A six-compartment Physiologically Based Pharmacokinetic (PBPK) Markov-chain Monte Carlo Model to simulate and quantify nicotine metabolism in human populations.”
  (2006 – 2008)

• B.S. – Biology and Chemistry, Portland State University (PSU), Portland, OR
  (2002 – 2006)

Software & Research Products

• “The Human Infertility Single-cell Testis Atlas (HISTA)”: A web-based single-cell atlas that enables exploration and hypothesis testing of testis-specific cell types and genomic mechanisms in the context of infertility.

• “Spatial-Omics Testis Atlas (SPATA) Suite”: A suite of tools to explore testis spatial and single-cell transcriptomic data across multiple species, facilitating comparative analysis and cross-species hypothesis generation in testis biology.

• “Mouse Spatial-Omics Testis Atlas (MoSpaTA)”: Includes spatial data from various technologies like StereoSeq, Curio, and 10X Genomics to provide a comprehensive view of mouse testis at different developmental stages.

• “Mouse Developmental Single-cell Testis Atlas (MoDSTA)”: A curated atlas of mouse testis development from embryonic stages to adulthood, supporting developmental and reproductive research.

• “Rhesus macaque Spatial-Omics Testis Atlas (RheSpaTA)”: A platform housing spatial data from rhesus testis, enabling detailed investigation into non-human primate testis biology.

• “homo Sapian Spatial-Omics Testis Atlas (SapSpaTA)”: A spatial-omics dataset for human testis, offering insights into gene expression patterns and cell type-specific information related to human reproductive health.

• “ShinySDA R Package”: An R-based Shiny application for processing, browsing, and visualizing Sparse Decomposition of Arrays (SDA) objects, allowing real-time analysis of high-dimensional data.

• “Rhesus Immunome Reference Atlas (RIRA) R Package”: A multi-tissue single-cell RNA-seq atlas from rhesus macaque immune cells, complete with pipelines for cell type annotation and data integration for cross-species research.

• “Single-cell Custom Functions (scCustFx) R Package”: A library of analytical and visualization functions for single-cell and spatial omics analysis, supporting custom workflows in R.

• “CellMembrane R Package”: A toolkit of high-level wrappers and visualization tools for single-cell omics data processing and analysis designed for fault-tolerant pipelines and enhanced QC visualizations.

• “TCR Enrichment Analysis (TEA)”: A web-based visualization interface to evaluate differential enrichment of tissue-specific TCR clonotype.

Awards and Honors

• 2024 - 2026 NIH LRP - Contraception and Infertility through the National Institute of Child Health and Human Development (NICHD)
• 2021 - 2023 NIH LRP - Contraception and Infertility through the National Institute of Child Health and Human Development (NICHD)
• 2014 – 2016 Pulmonary/Critical Care Medicine. NIH T32 Grant, David Lewinsohn M.D./Ph.D., OHSU (5T32HL083808-06/07).
• 2013 – 2014 Knight Cancer Institute, pre-doctoral funding, OHSU.
• 2013 – 2014 Molecular Microbiology and Immunology, pre-doctoral funding, Paul Spellman Ph.D., OHSU.

Accepted Abstracts, Poster, & Talks

• Fall 2024 “Uncovering distinct and shared immunophenotypic signatures in ankylosing spondylitis (AS) and acute anterior uveitis (AAU): Applications of Machine-learning & AI in OMICs”, OHSU Dept. Medicine, Annual Research Retreat.
• Summer 2023 “Uncovering the Biological Signal in Rhesus Macaque Testis: A Comparative Analysis of FFPE Probe- based and Frozen Poly-A- mRNA Spatial-omics Technologies”, European Testis Workshop Conference, Switzerland.
• Spring 2022 “The Human Infertility Single-cell Testis Atlas (HISTA): An interactive molecular scRNA-seq reference of the human testis”, American Testis Workshop Conference, USA.
• Fall 2021 “Comparative single-cell analysis of biopsies identifies pathogenic mechanisms in Klinefelter Syndrome (KS)”, National Centers for Translational Research in Reproduction and Infertility (NCTRI) Conference.
• Fall 2021 “Rhesus Immunome Reference Atlas (RIRA): A multi-tissue single-cell landscape of immune cells”, 38th Symposium on NHP Models for AIDS Conference.
• Spring 2021 “Rhesus Immunome Reference Atlas (RIRA): An intro to the multi-tissue single-cell landscape of immune cells”, OHSU-VGTI Weekly Seminar.
• Spring 2019 “Identification of patient-specific molecular pathology from single-cell sequencing of human testis”, American Society of Andrology (ASA) Annual Conference.
• Spring 2018 “Robust and reproducible classification of rare cellular subsets/signatures (RCS) in single-cell technologies within a transfer learning framework”, Research Week talk, OHSU.
• Spring 2015 “Identification of novel MAIT subtypes with non-linear dimensionality reduction”, Research Week poster, OHSU.
• Spring 2015 “A Reinforcement Learning Model for Solving the Protein Folding Problem”, BioDSP talk, OHSU
• Winter 2014 “Latent Dirichlet Allocation and Applications in Biology”, Bioinformatics Discussion for Students and Postdocs (BioDSP) talk, OHSU.

Teaching & Mentorship Experience

• Summer 2024 Statistic analysis in biomedicine, Post-doc student, OHSU.
• Summer 2023 Statistical omics analysis, research associate, OHSU.
• Summer 2022 Machine Learning and Single-cell OMICs analysis with an international (France) master’s level graduate student. ONPRC.
• Spring 2019 Bioinformatics & Computational Biology introductory training for an MS-level graduate student. ONPRC.
• Spring 2019 Bioinformatics & career training for a high school student, ONPRC.
• Spring 2017 Class TA & Mentored teaching, “Public and social-media engagement and the developing ‘avatar’ of an academic professional” for Research in Bioinformatics and Computational Biology with course professor: Eilis Boudreau M.D./Ph.D.
• Spring 2016 Class TA and Mentored teaching, “Markov Models, Hidden Markov Models, and Markov Chain Mote Carlo Modeling” for Statistical methods with course professor: Shannon K. McWeeney Ph.D.
• Spring 2015 Class TA for Statistical Methods with course professor Shannon K. McWeeney Ph.D.

Publications by year

• Mahyari, Eisa, et al. “Rhesus Immune Reference Atlas (RIRA)” Accepted Cell Genomics (2025).

• Mahyari, Eisa, et al. “Divergent B-cell and cytotoxic TNK cell activation signatures in HLA-B27-associated ankylosing spondylitis and acute anterior uveitis.” Frontiers in Immunology (2025). link

• Mariya B. Shapiro, Tracy Ordonez, Shilpi Pandey, Eisa Mahyari, Kosiso Onwuzu, Jason Reed, Heather Sidener et al. “Immune perturbation following SHIV infection is greater in newborn macaques than in infants.” JCI insight (2024).

• Sujittra Khampang, Chanchao Lorthongpanich, Chuti Laowtammathron, Phatchanat Klaihmon, Sukanya Meesa, Wichuda Suksomboon, Nittaya Jiamvoraphong, Eisa Mahyari et al. “The dynamic expression of YAP is essential for the development of male germ cells derived from human embryonic stem cells.” Scientific Reports 14, no. 1 (2024): 15732.

• Lillepea, Kristiina, Anna-Grete Juchnewitsch, Laura Kasak, Anu Valkna, Avirup Dutta, Kristjan Pomm, Olev Poolamets, Eisa Mahyari et al. “Toward clinical exomes in diagnostics and management of male infertility.” The American Journal of Human Genetics 111, no. 5 (2024): 877-895.

• Juchnewitsch, Anna-Grete, Kristjan Pomm, Avirup Dutta, Erik Tamp, Anu Valkna, Kristiina Lillepea, Eisa Mahyari et al. “Undiagnosed RASopathies in infertile men.” Frontiers in endocrinology 15 (2024): 1312357.

• Mahyari, Eisa, Katinka A. Vigh‐Conrad, Clément Daube, Ana C. Lima, Jingtao Guo, Douglas T. Carrell, James M. Hotaling, Kenneth I. Aston, and Donald F. Conrad. “The human infertility single‐cell testis atlas (HISTA): an interactive molecular scRNA‐Seq reference of the human testis.” Andrology (2024).

• Liina Nagirnaja, Alexandra M. Lopes, Wu-Lin Charng, Brian Miller, Rytis Stakaitis, Ieva Golubickaite, Alexandra Stendahl, Tianpengcheng Luan, Corinna Friedrich, Eisa Mahyari, […], Kristian Almstrup, Kenneth I Aston, Donald F Conrad “Diverse monogenic subforms of human spermatogenic failure”, Nature Communications, 13, 1, (2022). link

• Yoshinori Fukazawa, Jeremy Smedley, Bryan Randall, Eisa Mahyari, Carly Starke, Richard Lum, Manuel Medina, Benjamin Varco-Merth, Kathleen Busman-Sahay, Miranda Fisher, “Mesenteric lymph nodes are sites of increased SIV RNA expression in SIV-infected rhesus macaques on antiretroviral therapy”, Journal of Medical Primatology, 51, 5, 320-320, (2022)

• GW McElfresh, Gregory Boggy, Eisa Mahyari, Michael Stutz, Abigail Ventura, Scott Hansen, Louis Picker, Benjamin Bimber, “Single cell transcriptomic profiling of early tuberculosis infection and granuloma formation in rhesus macaque”, Journal of Medical Primatology, 51, 5, 313-314, (2022)

• Eisa Mahyari, Abigail Ventura, Eric McDonald, Gregory Boggy, GW McElfresh, Scott Hansen, Louis Picker, Benjamin Bimber, “Rhesus Immunome Reference Atlas (RIRA): A multi-tissue single-cell landscape of immune cells”, Journal of Medical Primatology, 51, 5, 296-296, (2022)

• Gregory J Boggy, GW McElfresh, Eisa Mahyari, Abigail B Ventura, Scott G Hansen, Louis J Picker, Benjamin N Bimber “BFF and cellhashR: analysis tools for accurate demultiplexing of cell hashing data.” Bioinformatics (2022). link

• Eisa Mahyari, Jingtao Guo, Ana C. Lima, Daniel P. Lewinsohn, Alexandra M. Stendahl, Katinka A. Vigh-Conrad, Xichen Nie, Liina Nagirnaja, Nicole B. Rockweiler, Douglas T.Carrell, James M.Hotaling, Kenneth I.Aston, Donald F.Conrad “Comparative single-cell analysis of biopsies clarifies pathogenic mechanisms in Klinefelter syndrome.” The American Journal of Human Genetics 108, no. 10 (2021): 1924-1945. link

• N Haigwood, M Shapiro, T Cheever, S Pandey, E Mahyari, K Onwuzu, J Reed, H Sidener, J Smedley, L Colgin, A Lewis, A Johnson, B Bimber, J Sacha, A Hessell “Immune perturbation is more profound in newborn than in infant macaques during acute SHIV infection.” Journal of the International AIDS Society (2021). link

• Bruce K. Patterson, Harish Seethamraju, Kush Dhody, Michael J. Corley, Kazem Kazempour, Jay Lalezari, Alina PS Pang, Eisa Mahyari et al. “CCR5 inhibition in critical COVID-19 patients decreases inflammatory cytokines, increases CD8 T-cells, and decreases SARS-CoV2 RNA in plasma by day 14.” International Journal of Infectious Diseases 103 (2021): 25-32.Link

• Husam Taher, Eisa Mahyari, Craig Kreklywich, Luke S Uebelhoer, Matthew R McArdle, Matilda J Moström, Amruta Bhusari, Michael Nekorchuk, Travis Whitmer, Elizabeth A Scheef, Lesli M Sprehe, Dawn Roberts, Colette M Hughes, Kerianne A Jackson, Andrea N Selseth, Abigail B Ventura, Yujuan Yue, Kimberli A Schmidt, Jason Shao, Paul T Edlefsen, Jeremy Smedley, Richard J Stanton, Michael K Axthelm, Jacob D Estes, Scott G Hansen, Amitinder Kaur, Peter A Barry, Benjamin N Bimber, Louis J Picker, Daniel N Streblow, Klaus Früh, Daniel Malouli. “In vitro and in vivo characterization of a recombinant rhesus cytomegalovirus containing a complete genome.” PLoS pathogens, 2020. Link.

• Helen L Wu, Whitney C Weber, Christine Shriver‐Munsch, Tonya Swanson, Mina Northrup, Heidi Price, Kimberly Armantrout, Mitchell Robertson‐LeVay, Jason S Reed, Katherine B Bateman, Eisa Mahyari, Archana Thomas, Stephanie L Junell, Theodore R Hobbs, Lauren D Martin, Rhonda MacAllister, Benjamin N Bimber, Mark K Slifka, Alfred W Legasse, Cassandra Moats, Michael K Axthelm, Jeremy Smedley, Anne D Lewis, Lois Colgin, Gabrielle Meyers, Richard T Maziarz, Benjamin J Burwitz, Jeffrey J Stanton, Jonah B Sacha. “Viral opportunistic infections in Mauritian cynomolgus macaques undergoing allogeneic stem cell transplantation mirror human transplant infectious disease complications.” Xenotransplantation, 2020. Link.

• Emily B Wong, Marielle C Gold, Erin W Meermeier, Bongiwe Z Xulu, Sharon Khuzwayo, Zuri A Sullivan, Eisa Mahyari, Zoe Rogers, Hénrik Kløverpris, Prabhat K Sharma, Aneta H Worley, Umesh Lalloo, Prinita Baijnath, Anish Ambaram, Leon Naidoo, Moosa Suleman, Rajhmun Madansein, James E McLaren, Kristin Ladell, Kelly L Miners, David A Price, Samuel M Behar, Morten Nielsen, Victoria O Kasprowicz, Alasdair Leslie, William R Bishai, Thumbi Ndung’u, David M Lewinsohn. “TRAV1-2+ CD8+ T-cells including oligoconal expansions of MAIT cells are enriched in the airways in human tuberculosis.” Nature Communications biology, 2019. NCBI link.

• Yoshinori Fukazawa, Haesun Park, Mark J. Cameron, Francois Lefebvre, Richard Lum, Noel Coombes, Eisa Mahyari, Shoko I. Hagen, Jin Young Bae, Marcelo Delos Reyes, Tonya Swanson, Alfred W. Legasse, Andrew Sylwester, Scott G. Hansen, Andrew T. Smith, Petra Stafova, Rebecca Shoemaker, Yuan Li, Kelli Oswald, Michael K. Axthelm, Adrian McDermott, Guido Ferrari, David C. Montefiori, Paul T. Edlefsen, Michael Piatak, Jeffrey D. Lifson, Rafick P. Sékaly, and Louis J. Picker. “Lymph node T cell responses predict the efficacy of live attenuated SIV vaccines.” Nature Medicine, 2012. NCBI link.

Professional Affiliations

• International Society for Computational Biology (ISCB)
• American Association of Immunologists (AAI)
• American Society of Andrology (ASA)

Attended Professional Conferences

• 48th International Society of Andrology (ISA), Testis Workshop - Switzerland, 2023
• 47th International Society of Andrology (ISA), Testis Workshop - California, USA, 2022
• 39th Annual Symposium on Nonhuman Primate Models for AIDS - Oregon, USA, 2022
• CYTO 2016: Annual Congress of the International Society for Advancement of Cytometry - Seattle, WA, USA, 2016
• AAI Advanced Course in Immunology - Boston, MA, USA, 2014
• 29th Annual Symposium on Nonhuman Primate Models for AIDS - Seattle, WA, USA, 2011
• 28th Annual Symposium on Nonhuman Primate Models for AIDS - New Orleans, LA, USA, 2010

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