Cool idea! I'm pretty busy a.t.m. but just in case, I'll toss my hat out there. About me: -PhD in physics, specialty in optical spectroscopy for fusion reacto

Cool idea! I'm pretty busy a.t.m. but just in case, I'll toss my hat out there. About me: -PhD in physics, specialty in optical spectroscopy for fusion reactor plasmas -Familiar with basic optics, analog circuit design & fabrication, signal processing, sensor fusion, data analysis, visualization, physics-based modeling & parameter inference (including tomography), Bayesian methods, & MCMC -Very comfortable with the scientific python stack (Numpy/Scipy/Matplotlib/xarray), some experience with Julia (esp. SciML/ModelingToolkit) Projects I'd be interested in (mostly stuff I've been meaning to try my hand at but haven't gotten around to): -Unsupervised/self-supervised learning on real-world data (incl. algorithmic trading) -Machine vision (and/or analysis of other sensory modes) for robotics -Brain-inspired (ie, systems-neuroscience-based) AGI approaches (ex. hierarchical temporal memory, predictive coding, sparse distributed representations) -Information-theoretic approaches to AGI (ex: total correlation explanation, free energy methods) -Causal/generative/physics-based approaches to AGI -Renewable energy & clean tech: battery systems modeling, demand/weather forecasting, or hardware projects -Off-the-wall physics ideas: I'd be willing to listen to them & provide feedback. I'm personally interested in trying to reformulate quantum mechanics starting from geometric/Clifford algebra and Bayesian probability theory, as a way to make it more intuitive. Email is in my profile.