Summary
Shadan Golestan is an AI researcher and machine learning scientist with eight years of experience advancing sequential decision-making, optimization, and autonomous systems. With a PhD from the University of Alberta, her work bridged Bayesian optimization and simulation methods and has led to publishable research and conference presentations. She has applied RL, generative models, and LLM-agent techniques in both academic and industry settings, mentoring teams to translate cutting-edge research into product impact. At Amii and during a postdoc with Prof. Osmar Zaiane she combined PyTorch-driven prototyping with rigorous evaluation to tackle real-world decision problems. Currently based in Burnaby, BC, she is transitioning into applied research roles in industry (now at Huawei Canada) while maintaining a strong publication record and teaching background. A not-obvious strength is her track record of mentoring and operationalizing research—helping teams adopt Bayesian and simulation-based methods beyond proof-of-concept.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Alberta
Master of Science (M.Sc.) Artificial Intelligence, Master of Science (M.Sc.) Artificial Intelligence at University of Tehran
Persian, English