Summary
Teng-jui Lin is a Ph.D. candidate in Chemical and Biomolecular Engineering at UC Berkeley with nine years of experience bridging chemical engineering, bionanotechnology, and data science. He designs and characterizes nanoparticle systems using macromolecular engineering while also developing computational tools and workflows for large-scale image and morphology analysis. An experienced instructor, he has independently led computational labs and authored exam and lab problems for courses serving over 100 students. His research at University of Washington produced an 80%-more-efficient Python API for immunofluorescent image analysis and quantified morphology across 427,000+ cells, reflecting a rare combination of wet-lab nanomaterials expertise and scalable data-driven methods. Based in Berkeley, he blends hands-on fabrication with reproducible computational pipelines, often surfacing practical optimizations that accelerate experimental throughput.
9 years of coding experience
3 years of employment as a software developer
Ph.D. Candidate in Chemical and Biomolecular Engineering, Ph.D. Candidate in Chemical and Biomolecular Engineering at University of California, Berkeley
B.S. in Chemical Engineering Nanoscience and Molecular Engineering, B.S. in Chemical Engineering Nanoscience and Molecular Engineering at University of Washington
High School Diploma, High School Diploma at Kinglee High School
English, Chinese, Spanish