Bayzhan Mukatay

YC W26 founding team. building Doomersion’s learning feed with optimization, probabilistic modeling, and ranking systems that turn short-form video into language practice

enhancing the US organ allocation system through mathematical optimization and data science building an agent-based heart allocation simulation software Center for Surgical & Transplant Applied Research (C-STAR)

YC S25 fleet-scale dispatch planning + optimization using large-scale optimization, decomposition methods, and heuristics

Designed a semester-long program named DecisionLab, centered on building creative projects using Optimization, Simulation, AI, and Stochastic Modeling (Spring '24 cohort: 30 students - 5 projects, Spring ‘25 cohort: 40 students - 8 projects) President (2023-24), Internal VP (2024-25)

Implemented state-of-the-art dynamic matching algorithms for kidney exchange and ride-sharing; researched new ways to make these systems more efficient

Designed and implemented a two-phase mixed-integer linear program algorithm that automated exam scheduling for 4,480 students, cutting planning time by 95% and conflicts by 90% while satisfying all university and staff constraints and student preferences

Hands-on mentorship program for startup founders

Organized a two-week AI-focused Hackathon in Kazakhstan (2021) for 50+ participants; Co-organized international hackathons in France (2021), Brunei (2020), and Ada Lovelace (2020), and the AI Accelerator 2021

500+ hours teaching physics and math; mentored medalists in regional, national, and international physics Olympiads. designed and organized a two-week AI course for beginners (ages 13-32), successfully running four cohorts of 15 participants.