Summary
Juliho Castillo is a Program Director and applied mathematician with 10 years of experience translating data science and AI research into academic programs and production-ready solutions. He blends a strong research pedigree (PhD, postdoctoral work) with hands-on development as a former full-stack engineer and ongoing content creator, enabling both curriculum design and practical tool building. His expertise spans predictive modeling, large-scale data analysis, and supervising graduate theses, giving him a track record of turning complex problems into strategic, measurable outcomes. Based in Mexico City, he leads Data Science and Mathematics Engineering initiatives at Tecnológico de Monterrey while creating educational content for NonLinear Academy. Colleagues value his ability to bridge rigor and accessibility—making advanced methods teachable and actionable for industry and students alike. He often combines academic publication standards with pragmatic software practices, a combo that accelerates adoption of AI in institutional settings.
10 years of coding experience
12 years of employment as a software developer
Universidad Nacional Autónoma de México (UNAM)
Master of Science - MS, Master of Science - MS at Centro de Investigación y de Estudios Avanzados del IPN
Bachelor of Science - BS, Bachelor of Science - BS at Facultad de Ciencias UABJO
English