wilson murphy

Master's

Computer Science

Machine Learning in Microwave Impedance Cytometry

Research Associate Professor Ruoyu Yang

- Utilizing recurrent neural networks (RNNs) and convolutional neural networks (CNNs) to analyze time-series - Developing binary segmentation techniques to enhance real-time cell detection and classification - Applying LSTM and CNN architectures to accurately segment and classify cellular impedance data, significantly - Skills: Tensor Flow, CNN, Logarithmic Modeling, Biochemical sensing, Python