Research / Industry perspectives
Conversations about building useful AI and growing as a technologist, alongside my peer-reviewed work and doctoral research on adaptive learning systems.
I discuss how our team turns customer needs into practical AI workflows—and why understanding the business matters as much as building the model.
Interview by Taylor Rose · Featuring Jacky Li and Daniel Scott
Read the interview ↗A conversation about continuous learning, reflective practice and combining AI with operations research to become a more useful partner to product teams and leadership.
Featured interview with Jacky Li · By Taylor Rose
Read the interview ↗A framework for adaptive prediction under shifting training and real-time data patterns, developed for a smart-grid application.
Doctoral research spanning online meta-optimization, deep neural networks, and model learning under real-time change.
Explore the broader publication record and citation history.
Open Scholar ↗Verified academic identity: 0000-0001-8538-2164.
Open ORCID ↗Read how online meta-learning connects to modern adaptive AI systems.
Explore research →