I have an extensive background in software development, including computer games, spacecraft avionics, nation-state cybersecurity systems, DARPA research, and ML-based products. I can flex from hands-on coding to managing managers.
I recently led an agile team of scientists and software engineers building machine learning models predicting day trader financial performance from biological signals to produce real-time automated hedge trade actions. This included designing and deploying a real-time stream processing and model inference pipeline, and an end-to-end MLOps solution, including distributed/parallel GPU-accelerated compute clusters for feature engineering, model training/tuning, model evaluation/error analysis, batch inference generation, and model serving.
The more compelling challenge is a comfortable, yet durable electrode that has good impedance without the need of gel. OpenBCI is one of a few organizations that have a good dry electrode.
Had this been a bit cheaper I might have went ahead and bought it. The idea of being able to embed this thing in a hat, and search for songs on my phone just by thinking of them is awesome
"Adjustment for parental mental illness also likely represented an under-adjustment as most parental psychiatric disorders that were treated in outpatient clinics (without inpatient admission) were not recorded, and all of those that were treated in primary care (without inpatient or outpatient treatment) were unregistered. Furthermore, although register-based mental disorder diagnoses have been shown to have good validity [33, 34], not all mental disorders have been validated."
So if they exclude parental outpatient treated disorders, and exclude parental primary care treated disorders, all that seems to be left over is the rounding errors of self diagnosis and stays in mental hospitals, which would seem to be a huge issue for the conclusion.
The conclusion section doesn't seem to relate to the results section and discussion section, so that's weird.
Platypus Neuro | Austin, TX | ONSITE | Full-time | Front-end, Full Stack, Game Dev, ML
What if you could upgrade your brain and function at a higher level? Using proprietary, cutting-edge neurotechnology, Platypus helps the world’s most elite performers unlock their brain’s exponential capacity and optimize their performance.
Our core mission is to leverage neuroscience to help you optimize your brain. But we are also part of something bigger. Something entirely new. Neuroscience will soon allow us to fundamentally alter the human experience—giving us access to nearly unimaginable capabilities and experiences...along with the opportunity to meaningfully elevate what it means to be human.
I recently led an agile team of scientists and software engineers building machine learning models predicting day trader financial performance from biological signals to produce real-time automated hedge trade actions. This included designing and deploying a real-time stream processing and model inference pipeline, and an end-to-end MLOps solution, including distributed/parallel GPU-accelerated compute clusters for feature engineering, model training/tuning, model evaluation/error analysis, batch inference generation, and model serving.
Portfolio: https://www.beaualbiston.com/portfolio