Brain/ML and Climate/Carbon Data Scientist

My interests and experience include machine learning, large language models, studying brain dynamics to better understand awareness and decision-making, and combining computational neuroscience and ML approaches. I also work on climate-related models, methods and policies such as carbon management, carbon pricing and carbon-dioxide removal. I have experience with various ML and data science techniques, including recurrent and deep learning neural networks, unsupervised learning, classifiers, probabilistic reasoning, inference engines, genetic algorithms and natural language processing.