Materials Engineer with over 10 years of laboratory (wet lab) experience in the design and development of electronic and photonic materials and devices. Recently expanded expertise into machine-learning (ML)–driven data analysis and materials/process optimization using Python, bridging hands-on experimental research with data-centric engineering.

Research focuses on multifunctional hybrid materials that synergistically combine inorganic performance with organic flexibility for advanced microelectronic and optoelectronic systems. Demonstrated track record in tuning electrical, optical, and mechanical properties to enable high-performance devices, including semiconductors, microchips, circuits, and display technologies.

Additional interests include smart materials with optical, acoustic, and mechanical functionalities for healthcare technologies and biomedical microrobotics, with a long-term vision of developing intelligent, human-friendly materials platforms.