Wisdom O. Ikezogwo

Wisdom O. Ikezogwo

PhD Candidate, Computer Science & Engineering, University of Washington

I am a final-year PhD student at the Paul G. Allen School of Computer Science & Engineering at the University of Washington, advised by Prof. Ranjay Krishna and Prof. Linda Shapiro. I am also a student researcher at the PRIOR team at AI2. Previously, I received my B.Sc. from Obafemi Awolowo University, where I worked with Prof. Kayode P. Ayodele.

My research advances multimodal representation and generative modeling through effective alignment strategies, spanning large-scale data curation, benchmarking, multi-agent reasoning, and physics-informed generative models for improved temporal consistency and physical plausibility.

I am graduating in Spring 2026 and am actively open to research and industry opportunities. I am also open to collaborating with clinicians on medical AI projects — reach out here.

News

Experience

PhD Research Intern

Amazon
May 2025 – Nov 2025 · Seattle, WA

AIML Research Intern

Apple
Apr 2024 – Sep 2024 · Cupertino, CA

Graduate Research Intern

Mayo Clinic
Jun 2023 – May 2024 · Rochester, MN

Student Researcher

AI2 — PRIOR Team
Feb 2026 – Present · Seattle, WA

Featured Talk

Quilt-1M & Quilt-LLaVA: Building Medical Vision-Language Models from YouTube

Invited talk at Cohere For AI on curating large-scale medical vision-language datasets from educational videos and training multimodal models for histopathology.

Publications

2026
IEC Virtual Try-On
When Rubrics Fail: Error Enumeration as Reward in Reference-Free RL Post-Training for Virtual Try-On
Wisdom Ikezogwo, Mehmet Saygin Seyfioglu, Ranjay Krishna, Karim Bouyarmane
arXiv Preprint, 2026
arXiv PDF
SVG2
Synthetic Visual Genome 2: Extracting Large-scale Spatio-Temporal Scene Graphs from Videos
Ziqi Gao, Jieyu Zhang, Wisdom O. Ikezogwo, Jae Sung Park, Tario G. You, Daniel Ogbu, Chenhao Zheng, Weikai Huang, Yinuo Yang, Winson Han, Quan Kong, Rajat Saini, Ranjay Krishna
arXiv Preprint, 2026
arXiv Web
2025
PathFinder
PathFinder: A Multi-Modal Multi-Agent System for Medical Diagnostic Decision-Making Applied to Histopathology
Wisdom O. Ikezogwo, Fatemeh Ghezloo, Mehmet Saygin Seyfioglu, Rustin Soraki, Beibin Li, Tejoram Vivekanandan, Joann G. Elmore, Ranjay Krishna, Linda Shapiro
Preprint, 2025
arXiv PDF
MedicalNarratives
MedicalNarratives: Connecting Medical Vision and Language with Localized Narratives
Wisdom O. Ikezogwo, Kevin Zhang, Mehmet Saygin Seyfioglu, Fatemeh Ghezloo, Ranjay Krishna, Linda Shapiro
Preprint, 2025
arXiv Web
MedBLINK
MedBLINK: Probing Basic Perception in Multimodal Language Models for Medicine
Mahtab Bigverdi, Wisdom Ikezogwo, Kevin Zhang, Hyewon Jeong, Mingyu Lu, Sungjae Cho, Linda Shapiro, Ranjay Krishna
CVAMD Workshop, ICCV 2025
arXiv PDF
2024
Quilt-LLaVA
Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos
Wisdom O. Ikezogwo, Mehmet Saygin Seyfioglu, Fatemeh Ghezloo, Ranjay Krishna, Linda Shapiro
CVPR 2024
arXiv PDF
2023
Quilt-1M
Quilt-1M: One Million Image-Text Pairs for Histopathology
Wisdom O. Ikezogwo, Mehmet Saygin Seyfioglu, Fatemeh Ghezloo, Dylan Geva, Fatwir S. Mohammed, Pavan K. Anand, Ranjay Krishna, Linda Shapiro
NeurIPS 2023 (Oral)
arXiv PDF Project Page
MsCAMIL
Multi-Scale Cross-Attention Multiple Instance Learning Network for Risk Stratification of Whole Slide Images
Wisdom O. Ikezogwo, Christopher Chandler, Jatin S. Gandhi, Annie Garcia, Courtney Daum, Elizabeth Loggers, Linda G. Shapiro, Jose G. Mantilla, Anshu Bandhlish, Robert W. Ricciotti
Oral Platform Presentation, USCAP 2023
PDF
2022
MMAE
Multi-modal Masked Autoencoders Learn Compositional Histopathological Representations
W.O. Ikezogwo, Mehmet Saygin Seyfioglu, Linda Shapiro
Extended Abstract, ML4H 2022
PDF
2020
EEG Domain Generalization
Supervised Domain Generalization for Integration of Disparate Scalp EEG Datasets for Automatic Epileptic Seizure Detection
K.P. Ayodele, W.O. Ikezogwo, M.A. Komolafe, P. Ogunbona
Computers in Biology and Medicine, Vol. 120, May 2020
Paper
EEG Spectral
Empirical Characterization of the Temporal Dynamics of EEG Spectral Components
K.P. Ayodele, W.O. Ikezogwo, Anthony A. Osuntunyi
International Journal of Online and Biomedical Engineering (iJOE), Vol. 16, Dec 2020
PDF

Teaching

Service & Mentoring

Workshop Organizing

  • EvGenFM 2026 — Evaluation of Generative Foundation Models

Reviewing

  • CVPR 2026
  • NeurIPS 2025
  • ICCV 2025
  • ECCV 2026
  • IEEE Transactions on Medical Imaging (TMI)

Mentoring

Awards

  • UW Population Health Initiative — AI Pilot Research Grant (2024)
  • Microsoft Accelerating Foundation Models Research Grant (2023)

Education

© 2026 Wisdom O. Ikezogwo · Website template credit: Jon Barron