Scroll down to see my resume and some of my projects.
I am a graduate student at Binghamton University, graduating with a MS in Computer Science in the Artificial Intelligence track in May 2024. My interests include:
I trained multiple regressive models (Lasso, Ridge, AdaLasso, ElasticNet), optimized using a 10-fold cross validation, to learn the correlation between the probabilistic change in risk of death of a COVID-19 patient and change in multiple factors such as sex, age, province, and infection case. I used the publicly available patient info dataset provided by the […]
I trained a CycleGAN to transfer the style of an input image from a domain A to another domain B. Domain pairs used in this project were: You can view my project on GitHub here.
I trained a LSTM (long short-term memory) network on Irish folk music samples (in ABC notation) to generate new folk songs. You can view my project on GitHub here.
I trained a Deep Convolutional Generative Adversarial Network (DCGAN) on the MNIST dataset to take a numerical input and generate handwritten numerical samples for the same. You can view my project on GitHub here.