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, progression, and disease heterogeneity. Amongst others, the group's current projects leverage approaches from network science and machine learning in tool development for (1) modeling of regulatory interactions
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scientific environment, consisting of academic staff members, Ph.D./Postdoctoral fellows, and students with scientific expertise ranging from theoretical methods (machine learning, biostatistics
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education majors (speech and language therapy, hearing, language and communication, specific learning difficulties, psycho-social difficulties, and neuro developmental disabilities) at the master’s level, in
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