About
One toolkit, from theorems to the brain.
I'm a control engineer and computational neuroscientist. My PhD was on the stability of positive and monotone dynamical systems — proving when large, coupled nonlinear systems settle rather than spiral out — and that question has followed me across fields ever since.
I've used it to optimize wind farms, study delay-driven instabilities in power grids, model how epidemics spread, and — at the Max Planck Institute — probe how the brain perceives and learns with eye-tracking, EEG, and MRI. The common thread is feedback under uncertainty, which is exactly the problem an autonomous vehicle has to solve. That's what I work on now — as co-founder and Chief Scientist of cogniBIT, bringing cognitive science and simulation together to make autonomous systems safer.
Toolkit
Research & Focus Areas
Where I've applied the work.
Autonomous Driving
Applying control engineering, data science, and models of human perception to self-driving systems — designing frameworks that learn from real driving behavior to improve algorithms and safety standards.
Dynamical Systems & Stability
PhD research on stability of monotone and positive systems: delay-independent stability, D-stability, and equilibria of subhomogeneous cooperative systems — new theorems for when nonlinear systems stay stable.
Computational Neuroscience
Perception, adaptive learning, and neuromodulation — studied with eye-tracking, EEG, pupillometry, and functional/molecular MRI, including calcium-responsive MRI probes for cerebral ischemia.
Mathematical Epidemiology
Age-stratified compartmental models with time-varying parameters, contact-rate estimation from real data, and optimization of containment and vaccine-distribution strategies — including a full analysis of SARS-CoV-2 spread.
Wind-Farm Optimization
A hybrid Jensen–LES method to optimize turbine layouts on a regular computer — reaching over 90% of large-eddy-simulation accuracy without the supercomputer such simulations normally demand.
Grid Stability with Delay
Small-signal stability of power system stabilizers, and how time delays in wide-area measurements affect synchronous-generator stability — published as a book chapter and conference work.
Open Source
Tools I've built and released.
Open-source scientific tools I've written and released — from molecular-fMRI analysis (peer-reviewed in the Journal of Open Source Software) to epidemic modeling and neuroscience data acquisition.
Trajectory
A path across disciplines.
Teaching machines to see and decide
Finding the control loop inside the brain
Which interventions actually bend an epidemic curve?
Getting supercomputer accuracy from an ordinary machine
Proving when systems stay stable at all
Safe autonomy, grounded in human perception
Publications
Selected work.
Thoughts & Past Work
Everything I write, in one place.
My own scientific work and research notes, alongside essays, film, and the occasional argument about life and society — filter to whatever you're after.
Read →Contact
Let's talk.
Open to conversations about autonomous systems, control, applied ML, and research collaboration. Send a note with the form, or find me on the links below.