Projects
Selected research and engineering work across multimodal systems, efficient reasoning, AI for science, and control.
Multimodal Systems
Work on vision-language models, structured generation, and reliable multimodal outputs.
Vision-Language Model Fine-tuning for Schema-Constrained Food Extraction
CompletedFine-tuned a vision-language model for deterministic food understanding as schema-constrained JSON generation.
Built a 1,500-sample instruction dataset, added schema validation, and released reproducible training assets and code.
Reasoning and Efficiency
Studies of recursive reasoning, adaptive computation, and compute-aware model behavior.
Efficiency Analysis of Tiny Recursive Models for Reasoning Tasks
CompletedReproduced Tiny Recursive Models on Sudoku-Extreme and studied the compute-accuracy trade-offs of recursive reasoning.
Found an overthinking regime under ACT and identified a shallow H2-L2 design as the best fixed-budget configuration.
Scientific and Control Systems
Projects at the intersection of scientific modeling, long-context inference, and dynamical control.
GeneLM-Evo2: Zero-shot Genomic Variant Pathogenicity Analysis
CompletedBuilt a zero-shot genomic variant scoring workflow around Evo2 for long-context pathogenicity analysis.
Deployed scalable H100 inference, integrated ClinVar-based evaluation, and shipped both code and a public project site.
Optimal Control of Interleukin-10 Immune Modulation
CompletedModeled IL-10 immune regulation as a continuous-time control system under physiological noise.
Designed a Kalman filter plus LQR controller and evaluated closed-loop behavior in MATLAB/Simulink.