Jordan M. Sorokin
Principal Researcher · Amae Health
Hi! I'm a biologist, neurophysiologist and machine learning scientist. I started out my career as a biologist working on high resolution cell-surface protein microscopy. I then gained experience in real clinical settings during my undergraduate thesis where I studied the impact of chemotherapy on whole brain glucose metabolism (a proxy for overall neural health and function). I received my PhD from Stanford University under the supervision of Dr. John Huguenard where I used in vitro and in vivo neural recordings, optogenetics, and real-time signal processing to monitor and intervene on epileptic discharges in rodents with genetic epilepsy.
I've now spent almost 8 years in industry where I've been leading computational strategy and machine learning initiatives in pre-clinical drug discovery settings, and more recently, clinical mental health research. I care as much about good software principles, modular data workflows, and well defined statistical and machine learning models as I do neurobiology and scientific discovery.
I'm always open to new connections. Don't be shy! While you're here check out my research.
Blog
Notes on science, ML, and data science, from statistical methods to how research actually works.
Read the blog →Projects
Open-source tools for neuroscience and data analysis.
- HDBSCAN, density clustering
- SingularSpectrum, time series
- ModelNeuro, HH simulation
- neo-matlab, electrophysiology