Extracted QRS wave features from mouse ECG data by designing algorithms using PyWavelets in PythonIdentified statistically significant survivability factors using Kaplan-Meier Survival Analysis and Cox PH regressionFrequency analysis of mice respiratory data using Fourier Transforms (FT) and Short Term FT based spectrogramsImplemented Principle Component Analysis (PCA) based plotting and clustering to find hidden patterns and clustersData mining pipeline includes overrepresentation analysis to identify overrepresented genotypes and features in clusters to help classify clustersClassified clusters to be used to build and inform a diagnostic machine learning model to detect anomalous breathing

Super cool work using mmWaves radars at the Rice Networks Group under the supervision of Dr. Knightly.Detailed description pending publication

Developing Named Entity Recognition algorithms with NLP transformer models accompanied by keyword and dependency-chain matching to automate data entry processes hospital-wide which will boost nurse productivity

Hosted weekly office hours to explain course material and assist students with their homework assignmentsGraded weekly problem set and provided the students and course teaching staff with weekly feedback on the grading outcome to enhance the overall learning experience in the course

Fostered an intellectually stimulating environment by hosting weekly research talks to give the students participating in the program structured opportunities to present and discuss their researchOrganized, hosted, and facilitated social events throughout the duration of the program

Integrated DPDK libraries in Agora, real-time MIMO baseband processing software, to reduce computational latencyDebugging C++ programs in Agora to ensure their compatibility with the newly integrated DPDK librariesCompiling programs using CMake to build programs in Agora more efficiently in a Linux environment