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Creative

Research

I am interested in systems for machine learning, particularly in accelerated and distributed computing.

Publications

NeurIPS 2025

LookWhere? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision

Anthony Fuller, Yousef Yassin, Junfeng Wen, Tarek Ibrahim, Daniel G. Kyrollos, James R. Green, Evan Shelhamer

Advances in Neural Information Processing Systems (NeurIPS), 2025, vol. 38, pp. 96710–96748

BibTeX
@inproceedings{fuller2025lookwhere,
  title         = {{LookWhere}? Efficient Visual Recognition by Learning Where to Look and What to See from Self-Supervision},
  author        = {Anthony Fuller and Yousef Yassin and Junfeng Wen and Tarek Ibrahim and Daniel G. Kyrollos and James R. Green and Evan Shelhamer},
  booktitle     = {Advances in Neural Information Processing Systems (NeurIPS)},
  year          = {2025},
  volume        = {38},
  pages         = {96710--96748},
  doi           = {10.52202/085713-2910},
  eprint        = {2505.18051},
  archivePrefix = {arXiv},
  url           = {https://neurips.cc/virtual/2025/loc/san-diego/poster/117306}
}

Research projects

Sequence and structure representations for peptide property prediction

2026

Do a protein language model and a chemical language model say different things about a peptide? Four fusion designs, four properties, one public benchmark: no. Test F1 within 0.03 of the state of the art, and a negative result that narrows the search.

  • JAX
  • Flax NNX
  • Grain
  • Cloud TPU
  • ESM-2

CuMind: a MuZero reimplementation

2025

MuZero from scratch: representation, dynamics, and prediction networks with Monte Carlo tree search, on Gymnasium environments.

  • Python
  • JAX
  • Flax NNX
  • Gymnasium
  • Cloud TPU

LookWhere? model scaling and deployment

2024

Vision transformer training on Cloud TPU pods (1 TB HBM, 10 petaFLOPs FP16): mesh topology, per-host utilization, and honest throughput numbers. NeurIPS 2025.

  • JAX
  • Cloud TPU
  • Vision Transformers
  • Python

Research positions

  1. Undergraduate Capstone

    Carleton University · Prof. James Green

    • Vision transformers for real-time neonatal monitoring: self-supervised pretraining and fine-tuning, then test-time adaptation by entropy minimization.

  2. Research Assistant

    CUBIC Lab, Carleton University · Prof. James Green

    • Deep learning and multimodal methods for real-time embedded healthcare monitoring.
    • I-CUREUS internship, summer 2026: tested whether fusing sequence and structure encoders, or sharing one model across four peptide properties, beats a single frozen encoder on the PeptiVerse benchmark. Neither did. Trained on a TPU v4-32 pod with a JAX and Grain pipeline.
    • Co-author of LookWhere? (NeurIPS 2025): deployment and throughput measurement on Cloud TPU pods.

  3. Google Summer of Code Contributor

    The Apache Software Foundation, Apache HTTP Server Project · Mentor: Jean-Frederic Clere (Apache httpd and Tomcat committer, ASF Member)

    • Wrote mod_http3, HTTP/3 (RFC 9114) for the Apache HTTP Server on OpenSSL 3.5 QUIC and nghttp3: 6,409 lines of C and 61 signed releases, plugged into httpd's normal request pipeline.
    • Extended httpd's process management so a module can register connections httpd did not accept itself; graceful stop and restart now drain in-flight HTTP/3 requests. Proposed upstream to apache/httpd.
    • Built the test and release infrastructure: 56 integration tests against a live server, seven CI workflows, QUIC Interop Runner registration, and packages for Linux and Windows.

  4. Research Student

    Advanced Real-Time Simulation Lab (ARSLab), Carleton University · Prof. Cristina Ruiz

    • Built, tested, and validated DEVS (Discrete Event System Specification) simulation models in CADMIUM.

  5. Research Student

    Carleton University · Prof. Safa Bidawii

    • Surveyed reinforcement learning (DQNs on Gymnasium) and computer vision architectures (CNNs, GANs, SSMs, Transformers) on Digital Research Alliance of Canada compute.

Teaching

  1. SYSC 3006 Computer Organization and Architecture

    Teaching Assistant, Carleton University

  2. SYSC 1006 Foundations of Imperative Programming

    Teaching Assistant, Carleton University

  3. SYSC 2310 Introduction to Digital Systems

    Teaching Assistant, Carleton University

Talks

  • Local AI Deployment with Ollama and DockercuHacking2025
  • The Importance of AI ReasoningCU@Kanata2024
  • CUAIS Innovation LabCarleton University2024