About Me
I am recent Ph.D. graduate from the Tufts University
Biomedical Engineering department. I previously recieved my Bachelors of Science in Biomedical Engineering
from Rutgers University in 2018. Along the way, I have interned at Colgate-Palmolive from 2017-2018 under Dr. Hrebesh Subhash,
designing a smart toothbrush using support vector machines to classify positional data from IMU sensors.
Since 2018, I have been working towards completing a Ph.D. in Biomedical Engineering
under the direction of Professor Irene Georgakoudi. My dissertation has
focused on application of machine learning to denoise low-SNR biomedical time-series
and image datasets.
At Tufts University, I have worked on label-free detection of rare
circulating tumor cell clusters in whole blood using machine learning-based classification algorithms and
denoising low-SNR clinical biopsy images for cervical pre-cancer detection which will be used to improve
image acquisition speeds in an upcoming clinical trial!
My interest lies in the application of ML and DL for image super-resolution and denoising.
I am fascinated by the various uses of ML for solving everyday problems that can benefit
others both in the biomedical space and human connection space. I thrive on developing
and sharing innovative methods to solve complex problems which can benefit others in long-term.
If you would like to connect and learn more about my work, feel free to reach out to me on LinkedIn!