 Researchers from the MuMi (Multi-omics Milk) Study gathered for their first in-person Hackathon, led by Dr. Meghan Azad and co-investigator Dr. Nima Aghaeepour (Stanford University). Funded by the NIH, the MuMi Study is analyzing over 1,600 human milk samples using multi-omics to uncover how milk composition affects child health. Held July 17–18, the event brought together 16 team members (including 6 members from THRiVE lab) to analyze early data using advanced machine learning and data science techniques. The study builds on two major research platforms: the International Milk Composition (IMiC) Consortium, co-led by Dr. Azad, and the CHILD Study, a Canadian birth cohort. Participants collaborated intensively to identify patterns in milk composition, known as “lactotypes,” and explored how maternal and infant factors shape these patterns. Early links between milk composition, infant gut microbiome, and child health were also explored, offering insights that may guide personalized nutrition and public health strategies.
 Dr. Meghan Azad recently delivered the keynote address at the Lactation and Infant Feeding (LIFE) Workshop hosted by Cornell University in Ithaca, New York. Her presentation, Milk-Multi-Omics: the CHILD Cohort, IMiC Consortium & Beyond, launched the two-day event, which brought together researchers and experts to explore a wide range of topics in human milk science.
 Credit: CHILD Cohort Study website They may be early in their careers, but Canada’s next generation of researchers is already making a significant impact in health and medicine, as highlighted in a recent Globe and Mail article. Dr. Kozeta Miliku, a former postdoctoral fellow with the THRiVE Lab, is among those leading the way. Her work, grounded in the lab’s innovative research environment, reflects the growing influence of THRiVE-trained scientists in shaping the future of biomedical discovery.
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