- Work on the artificial increasing the resolution(Super-resolution) of facial images using deep learning- Building a model based on the deep neural network implementation of ResNet(CNN) + PixelCNN (probabilistic method) architecture- Fine-tune the network to achieve better results for high-level features

• Worked with the prevalence of 25bp deletion in human MYBPC3 protein by using a prime animal model(mice)• Analyzed real-time PCR data by comparative CT method also referred to as the 2 (-DeltaDeltaC(T)) method, resulting genotyping of PKC-mice, MYBPC3 Knock-Out mice, HTR2a mice• Analyzed Difference between isolation of RNA in Plant cell and Animal cell

Honeybee Project• Analyzed the effect caffeine played on the physiology and development of the honeybee’s heart• Analyzed RNA Sequencing data using DAVID which allows me to convert raw data output into information