Campus
- Mississauga (UTM)
Fields of Study
- Analytical Chemistry
Areas of Interest
At UTM, Professor Ogata's lab will innovate single-molecule bioanalytical sensors for multi-component protein analysis with direct applications in disease diagnostics and pathology. Her research program will interface analytical, materials, and clinical chemistry to drive technology development and clinical translation. Her lab will focus on bioinspired nanomaterials development, single-molecule bioanalytical sensors, simple and rapid diagnostics, creating a diagnostics pipeline to address unmet clinical needs in healthcare. Dr. Ogata’s long-term vision is to transform women’s health and develop diagnostics for gynecological health.
Biography
Professor Ogata obtained her B.Sc. from the College of William & Mary and conducted undergraduate research with Dr. Kristin Wustholz. As an NSF GFRP fellow, Ogata completed her PhD under Dr. Reginald Penner at UC Irvine. During her PhD, she was a visiting scholar at KAIST under Dr. Il-Doo Kim as an NSF GROW fellow. Ogata was a NIH T32 postdoctoral fellow at the Brigham and Women’s Hospital and Harvard Medical School, leading COVID19 research using ultrasensitive protein assays to study SARS-CoV-2 antigens in patients, pediatrics, and vaccinated health care workers. Ogata believes in dedicated mentorship, and that skills in independent research, leadership, communication, and diversity & inclusion are necessary for the student growth. She looks forward to working with chemists, material scientists, biomedical and chemical engineers, and MD-PhDs, and creating a team centered around support, intentional design, clear communication, and scientific collaboration.
Ogata believes in dedicated mentorship, and that skills in independent research, leadership, communication, and diversity & inclusion are necessary for the student growth. She looks forward to working with chemists, material scientists, biomedical and chemical engineers, and MD-PhDs, and creating a team centered around empathy, accountability, and learning to drive research innovations