RESEARCH

Research

My research examines the relationship between data, supervision, evaluation, and the conclusions we draw from machine learning systems.

AI & Machine LearningNeural Dynamics & Neural Engineering

AI & Machine Learning

Five connected investigations

State-Complete Replay

When does replay recover the counterfactual world an evaluator intends?

Submitted / under review · 2026

Neural Dynamics & Neural Engineering

My PhD research combines multiregion electrophysiology, signal processing, and machine learning to study seizure propagation.

NEUROSCIENCE & BIOMEDICAL ENGINEERING

Neural Dynamics &
Neural Engineering

Understanding distributed neural activity through multiregion in vivo electrophysiology, signal processing, statistics, and machine learning.

Panel B: post-kindling recording from Rat 8 showing LFP activity in BLA, PC, RF, NTS, and FN.

Thesis Figure B.11, Panel B. Post-kindling activity in all five recorded regions. Colored bars mark regional engagement; gray shading marks artifact.

PHD RESEARCH · UNIVERSITY OF TORONTO & UHN

How does seizure activity spread across a distributed neural system?

Across 412 recordings from 12 rats, established kindling was associated with broader activity spanning limbic, cortical, brainstem, and cerebellar regions.

+1.035regions per event after kindling
95% CI 0.660–1.383

01 / MULTIREGION INVOLVEMENT

Seizure expression across the recorded network

Recordings from BLA, parietal cortex, reticular formation, NTS, and fastigial nucleus reveal a post-kindling shift toward broader and stronger multiregion activity. Composite LFP modulation increased by 4.707 units (95% CI 3.365–5.945), with increases in all five regions.

Configurations containing brainstem or cerebellar regions became more frequent. Behavioral stage 5 seizures showed greater spatial extent and modulation than stages 3–4.

02 / TEMPORAL DYNAMICS

How neural activity evolves after stimulation

In 309 complete five-region recordings from 10 animals, the main temporal analysis found an early-to-later decline in signal magnitude and 1–55 Hz power. Signal SD decreased in all 10 animals and power in nine.

Spectral analysis, wavelets, cross-frequency coupling, and directional analysis characterize the changing relationships between regions. BLA-linked directional structure is strongest close to stimulation offset and weakens later.

03 / ISOFLURANE & PHYSIOLOGY

Neural activity under changing anesthetic conditions

An industry-sponsored study combined hippocampal, cortical, brainstem, and cerebellar LFP with breathing rate, oxygen saturation, and heart rate during controlled 4-AP and isoflurane experiments.

Paired within-animal analysis found approximately 197% higher hippocampal power when isoflurane fell from 2.5% to 1.5%. Increasing isoflurane to 4.5% reduced parietal-cortex power by approximately 64%.

04 / PHYSIOLOGICAL MACHINE LEARNING

Evaluation across animals and repeated recordings

I develop temporal and graph representations for physiological recordings, including CNNs, recurrent models, TCNs, GNNs, graph transformers, and self-supervised approaches.

Preprocessing, feature scaling, model fitting, and calibration are estimated from training animals. Group-held-out evaluation tests transfer to unseen animals, while animal-level aggregation preserves the structure of repeated recordings.

Neuroscience manuscripts

Side projects

Lionel Messi, from the WC26 Predict homepage

WC26 Predict ↗

A small website I built for friends to follow the 2026 World Cup, make match predictions, and place friendly bets.