concept-bottleneck

An interpretable foundation model of the patient clinical timeline: event forecasting, calibrated time-to-event alerts, and concept-level interpretability, benchmarked head-to-head against tuned GBMs, tabular foundation models, and survival baselines on MIMIC-IV, eICU, and GEMINI via the MEDS standard.

[IEEE TMI 2024] MultiEYE: Dataset and Benchmark for OCT-Enhanced Retinal Disease Recognition from Fundus Images

[CVPRW2024 FGVC11 (Best paper award)] Official pytorch implementation of the paper: "ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery"

A list of awesome resources related to constraint learning

Interpretability by construction: route a layer's computation through a certified Legible Bottleneck and emit a runtime Faithfulness Certificate that bounds everything the named concepts cannot explain. Paper and reference implementation.

Interpretable spatial graph framework integrating pathway and ligand–receptor priors with tissue architecture. Generates pathway maps and H&E overlays that reveal how tumors organize and rewire signaling in space.

Interpretable multimodal neural network framework that integrates single-cell and spatial omics through biologically constrained, concept-bottleneck architectures.

ISIC 2018 dermoscopy deep learning — all three tasks, a concept-bottleneck experiment, a skin-tone fairness audit, and a scored entry on the live ISIC MILK10k leaderboard (macro F1 0.422). My first DL project, retrained in 2026 with an honest retrospective.

Interpretable perturb-seq modeling with a pathway/TF concept bottleneck — predicts effects and identifies stable regulatory drivers that generalize across datasets.