Summary
Wei-ting Liao is a data science leader with eight years of experience applying machine learning, generative AI, and systems modeling to life sciences and agricultural challenges. Currently leading Digital Twin Simulation at Bayer, she directs teams that turn high-dimensional genotype–environment data into actionable, knowledge-driven decisions and foundation models. Her background spans building real-time crop disease epidemic systems that fused social media NLP, graph theory, and spatial-temporal analysis to inform in-season risk, to optimizing biofuel supply chains and farm management through mathematical modeling. She combines rigorous Ph.D.-level research in agricultural and biological engineering with hands-on product delivery, bridging academic methods and industrial deployment. Based in Ballwin, Missouri, Wei-ting also leads university mentoring and outreach efforts, reflecting a commitment to talent development beyond technical delivery. Colleagues describe her strength as turning complex, multidisciplinary problems into practical predictive systems that influence testing and launch strategies.
8 years of coding experience
13 years of employment as a software developer
Master's Degree, Bioenvironmental System Engineering, Master's Degree, Bioenvironmental System Engineering at National Taiwan University
Doctor of Philosophy (Ph.D.), Agricultural and Biological Engineering, Doctor of Philosophy (Ph.D.), Agricultural and Biological Engineering at University of Illinois Urbana-Champaign
English, Chinese, Mandarin