Full-Stack Software Developer Visual Analytics & HCI Researcher Amateur Bathroom Singer
I'm a full-stack software engineer working on the direct-to-patient Data Donation Platform for the Rare Genomes Project at the Broad Institute. I was previously a data visualization researcher while pursuing a Master's (Computer Science) and Bachelor's (Computer Science, Psychology) degree from Tufts University. I have strong communication skills in both English and Japanese and am able to utilize knowledge from living in diverse cultures in order to connect with others and develop new and eclectic ideas. I value software usability, efficiency, maintainability, and documentation. I have a special interest in developing client-facing healthcare applications and am interested in working in positions that applies creativity and visual arts designing.
ResumeIn this paper, we report the iterative design process and the findings of developing the Prognosis Assessment for Conservative Treatment (PROACT) tool, a personalized health risk communication tool for localized prostate cancer patients. PROACT utilizes two published clinical prediction models (CPMs) to communicate the patients’ personalized risk information of prostate cancer and compare treatment options. In collaboration with the Maine Medical Center, we conducted two rounds of evaluations with prostate cancer survivors and oncologists to identify the design elements and narrative structures that would increase the users’ comprehension of their health information.
Our results indicate that visualization can be an effective means to communicate complex risk information to patients with low numeracy and visual literacy. However, the visualizations need to be carefully chosen to balance readability with ease of comprehension. In addition, due to patients’ charged emotional state, an intuitivenarrative structure that considers the patients’ information need is critical to aid the patients’ comprehension of their risk information.
As more healthcare institutions utilize electronic medical record software (EMR) to store patient records, the number of healthcare data breaches is also on the rise. In addition to the obvious threat to privacy, there are malicious ramifications to medical information cyber attacks, with medical records valued higher on the black market than credit card or Social Security Numbers (SSN). The stolen records can be used for spamming, identify fraud, prescription and service theft, billing fraud, and in its worst case, lead to death. While electronic medical record software companies need to improve their system security, the users of the software are also at fault as this vulnerability is exacerbated by the lack of training and awareness from both the hospital employees and patients. This paper will explore the causes and ramifications of healthcare information breaches as well as suggest some possible defense tactics to prevent medical information cyber attacks.
Deferred shading is a form of scene rendering: all of the components that contribute to shading (e.g., normals, position, color, depth) is rendered onto a texture first (G-buffer) and then the shading is calculated per pixel using the G-buffer textures. Unlike ray casting, which could have long rendering times, deferred shading allows for not just rendering of many lighting but also rendering of moving lights at a faster speed.
An exploratory visualization demo that relates word frequencies across genres. The diameter of the bubbles corresponds to the frequency of a specific word relative to the total word occurrences, and the pie arc lengths correspond to frequencies in their respective genres.
COMING SOON