• Most NLP tasks as Lego building blocks in a larger solutions
• Data augmentation techniques (via noisy search, fine-tuning prompts, generated synthetic data)
• Information Extraction (mostly in medical research)
• Pathways for fine-tuning Language-Models e.g. improved prompts, transfer learning, tweaking loss functions, constrains-based training, etc.
• High interest in cellular biology (cellular pathways, the immune system, epigenetic… and so much more : )