Topics: computational pathology, image generation, disentangled representations, latent space manipulation, deep learning Skills: Programming Languages: Proficient in Python, with experience in machine learning libraries such as PyTorch or TensorFlow. Generative Models: Familiarity with Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and contrastive learning methods.
