Scientific Project Manager

Cameron Ross MacPherson

Data analytics & strategy

“To benefit more patients faster we must strive and trailblaze together. As we look to the future, a concerted effort needs to be made to jointly execute on groundbreaking research aided by new data technologies, standards, and artificial intelligence. The Institut Roche is uniquely positioned with a longstanding foundation in true academic-industry partnerships enabling it to act as launchpad for the Roche R&D ecosystem. It is my pleasure to join my exceptional colleagues on this mission.”

Your role at Institut Roche and brief presentation of your professional background:

I joined Institut Roche in 2022 as a Scientific Project Manager having previously led a Health Informatics laboratory and consulting for several years on data management and analytics in the context of medical artificial intelligence. My role is to further the data strategy and scientific goals of key Roche projects by leveraging and consolidating technologies across research networks. The work necessitates the identification and enabling of opportunities between internal and external stakeholders, promoting data sharing and efficient knowledge transfer through scalable process and infrastructure design, and lastly to accelerate scientific discovery through the planning and hosting of cross-disciplinary events to discuss hypotheses and act on them with agility. Through these actions we will continue to help our scientists drive rapid advances across disease and therapeutic areas to ultimately benefit the lives of patients.

My Focus at Institut Roche:

I work as Data Sharing and Advanced Analytics lead for the immunotherapy Centers of Research Excellence network (imCORE) spanning 26 global sites and encompassing over 85 preclinical and clinical trials.

  1. Marandi, R.Z., Leung, P., Sigera, C., Murray, D.D., Weeratunga, P., Fernando, D., Rodrigo, C., Rajapakse, S., MacPherson, C.R., 2023. Development of a machine learning model for early prediction of plasma leakage in suspected dengue patients. PLOS Neglected Tropical Diseases 17, e0010758. https://doi.org/10.1371/journal.pntd.0010758.
  2. Moestrup, K.S., Reekie, J., Zucco, A.G., Jensen, T.Ø., Jensen, J.-U.S., Wiese, L., Ostrowski, S.R., Niemann, C.U., MacPherson, C., Lundgren, J., 2023. Readmissions, postdischarge mortality, and sustained recovery among patients admitted to hospital with coronavirus disease 2019 (COVID-19). Clinical Infectious Diseases 76, e82–e89.
  3. Murray, D.D., Grund, B., MacPherson, C.R., Ekenberg, C., Zucco, A.G., Reekie, J., Dominguez-Dominguez, L., Leung, P., Fusco, D., Gras, J., Gerstoft, J., Helleberg, M., Borges, Á.H., Polizzotto, M.N., Lundgren, J.D., 2023. Association between ten-eleven methylcytosine dioxygenase 2 genetic variation and viral load in people with HIV. AIDS 37, 379–387. https://doi.org/10.1097/QAD.0000000000003427.
  4. Nørgaard, J.C., Jørgensen, M., Moestrup, K.S., Ilett, E.E., Zucco, A.G., Marandi, R.Z., Julian, M.N., Paredes, R., Lundgren, J.D., Sengeløv, H., 2023. Impact of antibiotic treatment on the gut microbiome and its resistome in hematopoietic stem cell transplant recipients. The Journal of infectious diseases jiad033.
  5. Rasmussen, K.K., dos Santos, Q., MacPherson, C.R., Zucco, A.G., Gjærde, L.K., Ilett, E.E., Lodding, I., Helleberg, M., Lundgren, J.D., Nielsen, S.D., Brix, S., Sengeløv, H., Murray, D.D., 2023. Metabolic Profiling Early Post-Allogeneic Haematopoietic Cell Transplantation in the Context of CMV Infection. Metabolites 13, 968. https://doi.org/10.3390/metabo13090968.
  6. Svanberg, R., MacPherson, C., Zucco, A., Agius, R., Faitova, T., Andersen, M.A., da Cunha-Bang, C., Gjærde, L.K., Møller, M.E.E., Brooks, P.T., Lindegaard, B., Sejdic, A., Harboe, Z.B., Gang, A.O., Hersby, D.S., Brieghel, C., Nielsen, S.D., Podlekareva, D., Hald, A., Bay, J.T., Marquart, H., Lundgren, J., Lebech, A.-M., Helleberg, M., Niemann, C.U., Ostrowski, S.R., 2023. Author Correction: Early stimulated immune responses predict clinical disease severity in hospitalized COVID-19 patients. Commun Med 3, 1–2. https://doi.org/10.1038/s43856-023-00248-2.
  7. Zucco, A.G., Bennedbæk, M., Ekenberg, C., Gabrielaite, M., Leung, P., Polizzotto, M.N., Kan, V., Murray, D.D., Lundgren, J.D., MacPherson, C.R., 2023. Associations of functional human leucocyte antigen class I groups with HIV viral load in a heterogeneous cohort. AIDS 37, 1643–1650. https://doi.org/10.1097/QAD.0000000000003557.
  8. Faitova, T., Jørgensen, M., Svanberg, R., da Cunha-Bang, C., Ilett, E.E., MacPherson, C., Niemann, C., 2022. P603: GUT MICROBIOME IN CHRONIC LYMPHOCYTIC LEUKEMIA SHOWS DEPLETION OF SHORT-CHAIN FATTY ACIDS PRODUCING BACTERIA. HemaSphere 6, 502. https://doi.org/10.1097/01.HS9.0000845300.95747.23.
  9. Faitová, T., Svanberg, R., da Cunha-Bang, C., Ilett, E.E., Jørgensen, M., Noguera-Julian, M., Paredes, R., MacPherson, C.R., Niemann, C.U., 2022. The gut microbiome in patients with chronic lymphocytic leukemia. Haematologica 107, 2238–2243.
  10. Jørgensen, M., Nørgaard, J.C., Ilett, E.E., Marandi, R.Z., Noguera-Julian, M., Paredes, R., Murray, D.D., Lundgren, J., MacPherson, C.R., Sengeløv, H., 2022. Metabolic Potential of the Gut Microbiome Is Significantly Impacted by Conditioning Regimen in Allogeneic Hematopoietic Stem Cell Transplantation Recipients. International Journal of Molecular Sciences 23, 11115.
  11. Marandi, R.Z., Leung, P., Sigera, C., Murray, D.D., Weeratunga, P., Fernando, D., Rodrigo, C., Rajapakse, S., MacPherson, C., 2022. 1162. A data-driven approach to predict plasma leakage using explainable machine learning. Open Forum Infectious Diseases 9, ofac492.999. https://doi.org/10.1093/ofid/ofac492.999.
  12. Svanberg, R., MacPherson, C., Zucco, A., Agius, R., Faitova, T., Andersen, M.A., da Cunha-Bang, C., Gjærde, L.K., Møller, M.E.E., Brooks, P.T., 2022. Early stimulated immune responses predict clinical disease severity in hospitalized COVID-19 patients. Communications medicine 2, 114.
  13. Zargari Marandi, R., Jørgensen, M., Ilett, E.E., Nørgaard, J.C., Noguera-Julian, M., Paredes, R., Lundgren, J.D., Sengeløv, H., MacPherson, C.R., 2022. Pre-Transplant Prediction of Acute Graft-versus-Host Disease Using the Gut Microbiome. Cells 11, 4089. https://doi.org/10.3390/cells11244089.
  14. Zucco, A.G., Agius, R., Svanberg, R., Moestrup, K.S., Marandi, R.Z., MacPherson, C.R., Lundgren, J., Ostrowski, S.R., Niemann, C.U., 2022. Personalized survival probabilities for SARS-CoV-2 positive patients by explainable machine learning. Scientific Reports 12, 13879.
  15. Ekenberg, C., Reekie, J., Zucco, A.G., Murray, D.D., Sharma, S., Macpherson, C.R., Babiker, A., Virginia, K.A.N., Lane, H.C., Neaton, J.D., 2021. The association of HLA alleles with clinical disease progression in HIV-positive cohorts with varied treatment strategies. AIDS (London, England) 35, 783.
  16. Moestrup, K.S., Zucco, A.G., Reekie, J., MacPherson, C., Otrowski, S.R., Niemann, C.U., Lundgren, J., Helleberg, M., 2021. 29. Sustained Recovery in Patients Admitted to Hospital With COVID-19. Open Forum Infectious Diseases 8, S20–S21. https://doi.org/10.1093/ofid/ofab466.029.
  17. Agius, R., Brieghel, C., Andersen, M.A., Pearson, A.T., Ledergerber, B., Cozzi-Lepri, A., Louzoun, Y., Andersen, C.L., Bergstedt, J., von Stemann, J.H., Jørgensen, M., Tang, M.-H.E., Fontes, M., Bahlo, J., Herling, C.D., Hallek, M., Lundgren, J., MacPherson, C.R., Larsen, J., Niemann, C.U., 2020. Machine learning can identify newly diagnosed patients with CLL at high risk of infection. Nat Commun 11, 363. https://doi.org/10.1038/s41467-019-14225-8.
  18. Ilett, E.E., Jørgensen, M., Noguera-Julian, M., Nørgaard, J.C., Daugaard, G., Helleberg, M., Paredes, R., Murray, D.D., Lundgren, J., MacPherson, C., 2020. Associations of the gut microbiome and clinical factors with acute GVHD in allogeneic HSCT recipients. Blood advances 4, 5797–5809.
  19. Ekenberg, C., Tang, M.-H., Zucco, A.G., Murray, D.D., MacPherson, C.R., Hu, X., Sherman, B.T., Losso, M.H., Wood, R., Paredes, R., 2019. Association Between Single-Nucleotide Polymorphisms in HLA Alleles and Human Immunodeficiency Virus Type 1 Viral Load in Demographically Diverse, Antiretroviral Therapy–Naive Participants From the Strategic Timing of AntiRetroviral Treatment Trial. The Journal of infectious diseases 220, 1325–1334.
  20. Herrera-Solorio, A.M., Vembar, S.S., MacPherson, C.R., Lozano-Amado, D., Meza, G.R., Xoconostle-Cazares, B., Martins, R.M., Chen, P., Vargas, M., Scherf, A., 2019. Clipped histone H3 is integrated into nucleosomes of DNA replication genes in the human malaria parasite Plasmodium falciparum. EMBO reports 20, e46331.
  21. Ilett, Emma E., Jørgensen, M., Noguera-Julian, M., Daugaard, G., Murray, D.D., Helleberg, M., Paredes, R., Lundgren, J., Sengeløv, H., MacPherson, C., 2019. Gut microbiome comparability of fresh-frozen versus stabilized-frozen samples from hospitalized patients using 16S rRNA gene and shotgun metagenomic sequencing. Scientific Reports 9, 13351.
  22. Ilett, Emma E, Reekie, J., Jørgensen, M., Murray, D.D., Noguera, M., Paredes, R., Nørgaard, J.C., Daugaard, G., Helleberg, M., Lundgren, J., MacPherson, C., Sengeløv, H., 2019. 2569. The Gut Microbiome and Acute Graft vs. Host Disease Risk in Hematopoietic Stem Cell Transplantation Recipients. Open Forum Infectious Diseases 6, S892–S893. https://doi.org/10.1093/ofid/ofz360.2247.
  23. Clave, E., Araujo, I.L., Alanio, C., Patin, E., Bergstedt, J., Urrutia, A., Lopez-Lastra, S., Li, Y., Charbit, B., MacPherson, C.R., 2018. Human thymopoiesis is influenced by a common genetic variant within the TCRA-TCRD locus. Science translational medicine 10, eaao2966.
  24. Piasecka, B., Duffy, D., Urrutia, A., Quach, H., Patin, E., Posseme, C., Bergstedt, J., Charbit, B., Rouilly, V., MacPherson, C.R., Hasan, M., Albaud, B., Gentien, D., Fellay, J., Albert, M.L., Quintana-Murci, L., the Milieu Intérieur Consortium, 2018. Distinctive roles of age, sex, and genetics in shaping transcriptional variation of human immune responses to microbial challenges. Proceedings of the National Academy of Sciences 115, E488–E497. https://doi.org/10.1073/pnas.1714765115.
  25. Garcia-Silva, M.-R., Sollelis, L., MacPherson, C.R., Stanojcic, S., Kuk, N., Crobu, L., Bringaud, F., Bastien, P., Pagès, M., Scherf, A., 2017. Identification of the centromeres of Leishmania major: revealing the hidden pieces. EMBO reports 18, 1968–1977.
  26. Mancio-Silva, L., Slavic, K., Grilo Ruivo, M.T., Grosso, A.R., Modrzynska, K.K., Vera, I.M., Sales-Dias, J., Gomes, A.R., MacPherson, C.R., Crozet, P., 2017. Nutrient sensing modulates malaria parasite virulence. Nature 547, 213–216.
  27. Martins, R.M., Macpherson, C.R., Claes, A., Scheidig-Benatar, C., Sakamoto, H., Yam, X.Y., Preiser, P., Goel, S., Wahlgren, M., Sismeiro, O., 2017. An ApiAP2 member regulates expression of clonally variant genes of the human malaria parasite Plasmodium falciparum. Scientific reports 7, 14042.
  28. MacPherson, C.R., Scherf, A., 2015. Flexible guide-RNA design for CRISPR applications using Protospacer Workbench. Nature biotechnology 33, 805–806.
  29. Sollelis, L., Ghorbal, M., MacPherson, C.R., Martins, R.M., Kuk, N., Crobu, L., Bastien, P., Scherf, A., Lopez-Rubio, J.-J., Sterkers, Y., 2015. First efficient CRISPR-C as9-mediated genome editing in L eishmania parasites. Cellular microbiology 17, 1405–1412.
  30. Vembar, S.S., Macpherson, C.R., Sismeiro, O., Coppée, J.-Y., Scherf, A., 2015. The PfAlba1 RNA-binding protein is an important regulator of translational timing in Plasmodium falciparum blood stages. Genome biology 16, 1–18.
  31. Ghorbal, M., Gorman, M., Macpherson, C.R., Martins, R.M., Scherf, A., Lopez-Rubio, J.-J., 2014. Genome editing in the human malaria parasite Plasmodium falciparum using the CRISPR-Cas9 system. Nat Biotechnol 32, 819–821. https://doi.org/10.1038/nbt.2925.
  32. Essack, M., MacPherson, C.R., Schmeier, S., Bajic, V.B., 2012. Identification of estrogen responsive genes using esophageal squamous cell carcinoma (ESCC) as a model. BMC Systems Biology 6, 1–14.
  33. Kinoshita, N., Wang, H., Kasahara, H., Liu, J., MacPherson, C., Machida, Y., Kamiya, Y., Hannah, M.A., Chua, N.-H., 2012. IAA-Ala Resistant3, an evolutionarily conserved target of miR167, mediates Arabidopsis root architecture changes during high osmotic stress. The Plant Cell 24, 3590–3602.
  34. MacPherson, C.R., 2012. The Role of Non-¬Coding RNA in Plant Stress. https://doi.org/10.25781/KAUST-0AEJL.
  35. Woo, J., MacPherson, C.R., Liu, J., Wang, H., Kiba, T., Hannah, M.A., Wang, X.-J., Bajic, V.B., Chua, N.-H., 2012. The response and recovery of the Arabidopsis thalianatranscriptome to phosphate starvation. BMC plant biology 12, 1–22.
  36. Kaur, M., MacPherson, C.R., Schmeier, S., Narasimhan, K., Choolani, M., Bajic, V.B., 2011. In Silico discovery of transcription factors as potential diagnostic biomarkers of ovarian cancer. BMC systems biology 5, 1–13.
  37. Schmeier, S., Schaefer, U., MacPherson, C.R., Bajic, V.B., 2011. dPORE-miRNA: polymorphic regulation of microRNA genes. PloS one 6, e16657.
  38. MacPherson, V.B.B., Sebastian Schmeier, Cameron Ross, 2010. Computational Methods to Identify Transcription Factor Binding Sites Using CAGE Information, in: Cap-Analysis Gene Expression (CAGE). Jenny Stanford Publishing.
  39. Ravasi, T., Suzuki, H., Cannistraci, C.V., Katayama, S., Bajic, V.B., Tan, K., Akalin, A., Schmeier, S., Kanamori-Katayama, M., Bertin, N., Carninci, P., Daub, C.O., Forrest, A.R.R., Gough, J., Grimmond, S., Han, J.-H., Hashimoto, T., Hide, W., Hofmann, O., Kamburov, A., Kaur, M., Kawaji, H., Kubosaki, A., Lassmann, T., Nimwegen, E. van, MacPherson, C.R., Ogawa, C., Radovanovic, A., Schwartz, A., Teasdale, R.D., Tegnér, J., Lenhard, B., Teichmann, S.A., Arakawa, T., Ninomiya, N., Murakami, K., Tagami, M., Fukuda, S., Imamura, K., Kai, C., Ishihara, R., Kitazume, Y., Kawai, J., Hume, D.A., Ideker, T., Hayashizaki, Y., 2010. An Atlas of Combinatorial Transcriptional Regulation in Mouse and Man. Cell 140, 744–752. https://doi.org/10.1016/j.cell.2010.01.044.
  40. Schmeier, S., MacPherson, C.R., Essack, M., Kaur, M., Schaefer, U., Suzuki, H., Hayashizaki, Y., Bajic, V.B., 2009. Deciphering the transcriptional circuitry of microRNA genes expressed during human monocytic differentiation. BMC genomics 10, 1–18.
  41. Suzuki, H., Forrest, A.R.R., … , MacPherson, C., … , Hayashizaki, Y., The FANTOM Consortium, Riken Omics Science Center, 2009. The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line. Nat Genet 41, 553–562. https://doi.org/10.1038/ng.375.
  42. Kaur, M., Schmeier, S., MacPherson, C.R., Hofmann, O., Hide, W.A., Taylor, S., Willcox, N., Bajic, V.B., 2008. Prioritizing genes of potential relevance to diseases affected by sex hormones: an example of Myasthenia Gravis. BMC genomics 9, 1–9.
  43. Meier, S., Gehring, C., MacPherson, C.R., Kaur, M., Maqungo, M., Reuben, S., Muyanga, S., Shih, M.-D., Wei, F.-J., Wanchana, S., 2008. The promoter signatures in rice LEA genes can be used to build a co-expressing LEA gene network. Rice 1, 177–187.
  44. Thompson, C.L., Pathak, S.D., Jeromin, A., Ng, L.L., MacPherson, C.R., Mortrud, M.T., Cusick, A., Riley, Z.L., Sunkin, S.M., Bernard, A., Puchalski, R.B., Gage, F.H., Jones, A.R., Bajic, V.B., Hawrylycz, M.J., Lein, E.S., 2008. Genomic Anatomy of the Hippocampus. Neuron 60, 1010–1021. https://doi.org/10.1016/j.neuron.2008.12.008.
  45. MacPherson, C.R., 2007. Transcriptional regulatory networks in the mouse hippocampus (Thesis). University of the Western Cape.
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