Yubi Mamiya Email & Phone Number

Kirkland, WA, US

Build computational model integrating viral dynamics & pharmacokinetic/pharmacodynamic models for SARS-CoV-2 antiviralSimulate clinical trial by adjusting biological and epidemiological parameters to investigate dose-response of antiviral (Python)Present study findings before Infectious Disease department and to research group during weekly meetings

Develop diffusion model to synthesize images of skin and cancer lesions to increase skin color & lesion shape diversityCompare lesion segmentation performance with unsupervised & supervised segmentation models on synthetic & real dataTrain team to run code on parallel GPU’s (TensorFlow) to synthesize >100K synthetic images & run experiments on >1M.

Virginia Commonwealth University

Princeton, New Jersey, United States

I write articles on undergraduate research opportunities and methodologies, as well as news on research conducted by Princeton undergraduate students.

I developed a mobile learning app and website to provide personalized, automated learning exercises for 500+ students and families.

Boston, Massachusetts, United States

I'm developing mentorship services, curriculum, and career development opportunities for high-achieving, low-income, underrepresented students passionate about computer science, entrepreneurship, and finance.

Build machine learning model to predict occurrence of eating disorder behaviors in patients using sleep physiological dataProcess & analyze dense physiological data (millions of data points per minute) from wristbands to extract meaningful patterns

I assist 100 and 200 level computer science students in programming assignments and debugging code in C and Java.

As Technical Team Co-lead, I led the design and implementation of an irrigation system for farmers in rural Peru. I also manage the website for the Princeton Engineers Without Borders Chapter.

I create the schedule of races, manage race registrations, and coordinate race attendance logistics.

I conducted data analysis on patients with Type II Diabetes treated at the University of Malaya Medical Center. I analyzed disparities in treatment and treatment outcomes based on patients' sex and race. I also developed a predictive model to identify additional diagnosis characteristics for early-onset Type II Diabetes.

As Co-chair of the University Student Government Data Analytics Committee, I’ve led campus wide research studies on student mental health and the new Pay with Points dining program to provide additional funding for students to purchase meals at off-campus borders in order to build community with people from diverse backgrounds.

Princeton, New Jersey, United States

Seattle, Washington, United States

I assisted with slide inventory organization, laboratory management, tissue staining, and histology.

Greater Seattle Area

I teach mathematics, literacy, and science to students one-on-one. My study topics include creative writing, precalculus, and number theory.

Seattle, Washington, United States

I co-curated the "We the Future" Exhibition by supporting the design of the physical space and leading Exhibit Activations with museum visitors. At the Bill & Melinda Gates Foundation, I also served as a mentor of middle and high school students during the annual summer Take Action Workshops. I taught students to present a grant proposal, research a social.

Seattle, Washington, United States

I led a research project on the neuroscience of second language learning. I published an abstract and presented a poster on my findings at the 2021 Cognitive Neuroscience Society Conference. During my research study, I learned to run statistical analysis using Python and RStudio. I also transcribed the English and French spoken responses of bilingual.

Bachelor Of Science In Engineering, Computer Science, 3.78

Activities and Societies: Co-Chair of Princeton University Student Government Data Analytics Committee, Technical Team Co-lead of.

4.0

Activities and Societies: Principal Award (top 1% of graduating class, class unranked), Science Department Awardee Class of 2022, Scholar.

Education record

Education record

2024 Winter Courses: CSE 455 Computer Vision, BIOEN 474 Immunoengineering 2024 Spring Courses: CSE 571 AI-based Mobile Robotics, PHG 511.