Projects
Next Generation Sequence Analysis Pipeline In Python
Utilizes Python to automate a standard next generation sequencing analysis pipeline using standard bioinformatics tools.
Histopathologic Cancer Detection
Implements a deep neural network along with transfer learning using PyTorch to classify tissue image samples as having cancer or not.
Cellular Nucleus Image Segmentation
Uses a convolutional neural network architecture to perform semantic image segmentation of cells in microscope images. Addresses a inconvenience of cell counting in biological laboratories.
Chest X-Ray Generative Adversarial Network
Build a GAN model to generate novel chest x-ray scans. Provides method to introduce additional training data that computer vision tasks.
Lymphoma Microarray Cancer Clustering Analysis
Applies K-Means Clustering and Dimensionality Reduction Techniques to Classify Cancer Microarray Data.
Wikipedia Question & Answer Model
Utilizes standard text processing methodologies to create an unsupervised NLP model. User can ask model a question, and it answers with relevant information drawing from Wikipedia dataset.
Airbnb Time Series Forecasting
Transforms and stabilizes Airbnb property registration data through smoothing methods including rolling average and decomposition. Utilized ACF & PACF plots to detrmine model parameters.