Key Course Projects

Project 1: Deconvolving Rare Cell Types from Spatial Transcriptomic Data

As a student in Columbia University's Statistical Machine Learning for Genomics course in the spring 2022 semester, our final project was to come up with a novel application of current state of the art machine learning methods in genomics research. For our project we applied the Robust Cell Type Deconvolution algorithm to identify and characterize microglial cells from spatial transcriptomic data.

Project 2: Estimation of Heart Volume and Cardiac Output using 2D echocardiographic images

As part of the Computational Modeling of Physiological Systems course, I took in the spring 2022 semester, one of our projects was to build an application in MATLAB to measure the diameter of different chambers of the heart using 2D echocardiographic images. These were then used to calculate key metrics such as End Diastolic Volume, End Systolic Volume, Stroke Volume, and Cardiac Output.

Research Endeavors

Heffner Biomedical Imaging Lab

As a student researcher in the Heffner Biomedical Imaging Lab, under the guidance of Dr. Jia Guo, I worked on improving the performance of a recursive refinement network to be used for diffeomorphic image registration tasks. I presented findings from literature reviews in lab meetings, designed a modified framework, and gained experience working with machine learning packages in Python such as Tensorflow and PyTorch. This is an ongoing research experience.

Neurotrauma Research Lab

In my spare time, I volunteered to assist graduate students in the Neurotrauma Research Lab with some of their ongoing research efforts. I worked with CMOS-MEA (Microelectrode Array) data in MATLAB to devise methods to identify neuronal spikes in electrophysiological data. I gained experience visualizing this data, working with structures in MATLAB, filtering, and other signal processing techniques. Additionally, I modified and streamlined other existing analysis tools in MATLAB to make data analysis and visualization more efficient. I volunteered in this lab from September 2021 to May 2022.