I'm passionate about creating accessible healthcare solutions using data as decision driver. In the past, I have worked on a variety of projects applying statistics, regression models, and neural networks to analyze epidemiological data, predict physiological parameters, and model trends in human health data.
My academic background is in biomedical engineering, neuroscience, and public health. My professional and project experience lies largely in applied machine learning, medical device development, clinical data analysis, and statistical analysis. Most of the projects described on this website are from my time as a graduate student.
I graduated from my Master's in December of 2021 and am excited to start my professional career!