Santiago Arciniegas
Machine Learning Specialist at The Hospital for Sick Children
Old Toronto, Ontario, Canada
Summary
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Senior🎓
Top SchoolSantiago Arciniegas is a Machine Learning Specialist with eight years of experience applying deep learning and computational neuroscience to neurophysiological data, currently advancing clinical research at The Hospital for Sick Children in Toronto. With an MASc in Biomedical Engineering and an Honours BSc in Neuroscience (3.90 GPA) from McGill, he bridges rigorous academic training and hands-on lab work—from graduate research to laboratory technologist roles—to translate neural signal modeling into clinically relevant tools. He holds Neuromatch certificates in Deep Learning and Computational Neuroscience, reflecting a commitment to modern ML methods tailored for sensorimotor integration. Colleagues describe him as passionate about neurotechnology and adept at integrating experimental neurophysiology with data-driven models, a combination that helps move prototypes toward clinical impact. Unusually for someone focused on clinical ML, his background includes sustained tutoring and mentoring, indicating strong communication skills for interdisciplinary teams.
8 years of coding experience
3 years of employment as a software developer
DEC, Pure and Applied Science, Dean's Honour Roll, DEC, Pure and Applied Science, Dean's Honour Roll at Vanier CollegeMaster of Applied Science - MASc, Biomedical Engineering, Master of Applied Science - MASc, Biomedical Engineering at University of TorontoCertificate, Deep Learning, Certificate, Deep Learning at Neuromatch AcademyBachelor of Science - BSc, Honours Neuroscience, 3.90 cGPA - First Class Honours, Bachelor of Science - BSc, Honours Neuroscience, 3.90 cGPA - First Class Honours at McGill University
English, French, Spanish
Github Skills (1)
php1
Github contributions (5)
Tentant/ClaseEnfasis-I
Feb 2018 - Apr 2018
Contributions:32 commits, 30 pushes, 4 branches in 2 months
Tentant/ParcailEnfasisII
Sep 2018 - Sep 2018
Contributions:3 pushes, 3 branches in 1 day
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