Yuji Ishitsuka
About Yuji Ishitsuka
Yuji Ishitsuka is a Principal Scientist at Singular Genomics in San Diego, California, where he conducts molecular biology experiments to support genomic research. He has a strong background in microscopy hardware design, protein engineering, and advanced imaging techniques.
Work at Singular Genomics
Yuji Ishitsuka serves as a Principal Scientist at Singular Genomics, a position he has held since 2021. In this role, he conducts molecular biology experiments that focus on protein expression, purification, and molecular cloning. His work supports various genomic research projects, contributing to the advancement of genomic technologies. Based in San Diego, California, Ishitsuka applies his extensive knowledge and skills to enhance the functionality and efficiency of genomic prototypes.
Education and Expertise
Yuji Ishitsuka has a solid educational background in the sciences. He earned a Bachelor of Science degree in Chemistry from Wheaton College, where he studied from 1996 to 2000. He then pursued further education at The University of Chicago, obtaining a Master's Degree in Physical Chemistry in 2001, followed by a Doctor of Philosophy (Ph.D.) in the same field, which he completed in 2006. His academic training has equipped him with expertise in protein engineering, surface chemistry, and advanced microscopy techniques.
Background
Ishitsuka has a diverse background that includes significant experience in microscopy hardware design and computational image processing. His interdisciplinary research involves DNA structure design and utilizes techniques such as DNA-PAINT and DNA origami. He has developed skills in culturing various cell types, including mammalian cell lines and hippocampal neurons, which are essential for his experimental studies.
Technical Skills and Research Techniques
Yuji Ishitsuka possesses advanced technical skills in several areas relevant to genomic research. He is experienced in nanoimprint lithography and chemical vapor deposition (CVD) within clean room environments. His expertise extends to single molecule Förster resonance energy transfer (FRET) and super-resolution microscopy techniques, which he employs to advance research in next-generation sequencing. Additionally, he utilizes programming languages such as Python and Matlab for complex data analysis and modeling in biophysical research.