Summary
Milad Jalali is a machine learning researcher and engineer with eight years of experience combining rigorous statistical training and practical software skills to tackle real-world problems. Currently working in ML at Prenuvo after research roles at UBC and an internship at the Max Planck Institute for Software Systems, he brings strong foundations in high-dimensional statistics, convex optimization, and numerical methods. He has a proven teaching and mentoring background from multiple graduate courses at Sharif University of Technology and a bronze medal from the Iranian National Olympiad in mathematics, reflecting deep quantitative problem-solving. Comfortable in Python and fluent in Persian, English, and French, Milad also explores application development as a Flutter developer on GitHub, bridging research and production engineering. Colleagues describe him as someone who translates theoretical insights into usable systems, with a knack for spotting elegant statistical shortcuts that simplify complex models.
8 years of coding experience
3 years of employment as a software developer
math/physics Diploma, math/physics, High School, math/physics Diploma, math/physics, High School at Shahid Beheshti(NODET)
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at The University of British Columbia
Mathematics, Mathematics at Young Scholars' Club
Bachelor’s Degree, Computer Engineering, Bachelor’s Degree, Computer Engineering at Sharif University of Technology
Persian, English, French