I lead the retinalbiomarkers group which consists of a team of clinicians, visual electrophysiologists, and biomedical engineers, that aims to identify novel functional and structural retinal biomarkers for conditions affecting the central nervous system. Our main focus is on neurodevelopmental conditions. We apply signal analysis and machine learning/deep learning with AI generated synthetic signals to improve classification with members based in the UK, Germany, Brasil and the US. 

I am also working on developing a portable ERG device to enhance accessability to visual electrophysiology

1. Expertise in Visual Electrophysiology (ERG and EOG).
2. Signal Analysis- Discrete and Continuous Wavelet Transform (DWT/CWT) and Variable Frequency Complex Demodulation (VFCDM).
3. Deep Learning Frameworks
   1. Setting up TensorFlow, Keras, and PyTorch for research
   2. Building and training neural networks
4. Convolutional Neural Networks (CNNs)
   1. Applications of CNNs in image processing and research
   2. Building CNN models
5. Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM)
   1. Applications in time-series data. 
6. Model Evaluation and Tuning in Deep Learning
   1. 1. Model evaluation metrics for deep learning
      2. Tuning deep learning models for improved performance
7. Cell culture (RPE cells) Primary and cell lines with co-culture models
8. Molecualr Biology (RT-PCR), Ca imaging, 

Retinal Biomarker Discovery in neurodevelopmental disorders

Signal Analysis

Machine Learning (AI)

• April 2024 Lynne Loh -PhD
• Mar 2020 Sheela Kumaran - PhD
• Dec 2018 Himal Kandel - PhD