Wisdom O. Ikezogwo

Wisdom O. Ikezogwo

PhD Candidate, Paul G. Allen School of CSE, University of Washington

I am a final-year PhD candidate in the RAIVN Lab in Computer Science at the University of Washington, Seattle, advised by Ranjay Krishna and Linda Shapiro, and a student researcher in the OE-Science team at the Allen Institute for Artificial Intelligence (AI2). I have conducted research with Karim Bouyarmane at Amazon, Rick Chang at Apple, and Nick Chen at Mayo Clinic. I earned my B.Sc. at Obafemi Awolowo University, where I was advised by Kayode P. Ayodele.

graduating fall 2026 · on the research job market

My research asks what it takes to build intelligence trustworthy enough to act in high stakes visual domains such as medical imaging. I study multimodal representation and generative modeling: how models form rich, robust, and grounded connections across modalities and scales, learn from scarce or noisy supervision, reason under uncertainty, and improve through interaction. I care about the full arc, from curating the right data, to grounding what a model perceives, to reasoning over it, to closing the loop with feedback and action. Right now, my research interests are in visually grounded reasoning and in improving world/action models.

selected publications

Z. Gao, J. Zhang, W. Ikezogwo, T. You, … R. Krishna
ECCV 2026
W. Ikezogwo, Y. Liu, … L. Shapiro, D. Reddi
Cancer Informatics (SAGE), 2026
W. Ikezogwo, F. Ghezloo, … R. Krishna, L. Shapiro
ICCV 2025
W. Ikezogwo, K. Zhang, … R. Krishna, L. Shapiro
NeurIPS 2025
M. Bigverdi, W. Ikezogwo, K. Zhang, … R. Krishna
CVAMD Workshop, ICCV 2025
M. S. Seyfioglu, W. Ikezogwo, F. Ghezloo, R. Krishna, L. Shapiro
CVPR 2024
W. Ikezogwo, M. S. Seyfioglu, F. Ghezloo, D. Geva, F. Mohammed, P. Anand, R. Krishna, L. Shapiro
NeurIPS 2023 Oral
W. Ikezogwo, M. S. Seyfioglu, L. Shapiro
ML4H 2022 (Extended Abstract)
K. P. Ayodele, W. Ikezogwo, M. A. Komolafe, P. Ogunbona
Computers in Biology and Medicine, 2020
news
2026When Rubrics Fail at ECCV 2026 Oral
2026SVG2 accepted at ECCV 2026
2026MsCAMIL at Cancer Informatics (SAGE)
Jan 2026 — organizing the EvGenFM workshop
Feb 2026 — joined the AI2 OE-Science team
2025MedicalNarratives at NeurIPS 2025
2025PathFinder at ICCV 2025
2025MedBLINK at CVAMD, ICCV 2025
May 2025 — research internship at Amazon
Jun 2024UW Pop. Health AI pilot grant
Apr 2024 — AIML internship at Apple
2024Quilt-LLaVA at CVPR 2024
2023Microsoft AFMR grant
2023Quilt-1M at NeurIPS 2023 Oral
students
Current
Kevin Zhang MD, Harvard (Fall 2026)
Kevin Xiao incoming, OpenAI
Omar Abdel-Aziz UW · Fred Hutch
Isha Jagadish UW, CS

Past
Pavan K. Anand Microsoft
Fatwir S. Mohammed Allen Institute for Cell Science
Tario G. You OpenTrade (YC S26)
Dylan Geva UW
teaching
26sp CSE 493G1/599G1 Deep Learning for CV (TA)
26sp CSE 576 Computer Vision (guest lecturer)
26wi E E 562 AI for Engineers (guest lecturer)
25au CSE 455 Computer Vision (TA)
23 CSE 473 Intro to AI (TA)
22–23 CSE 160 Data Programming (TA)
19 EEE 203/201 Electronics, OAU (TA)
service
Organizer EvGenFM Workshop @ CVPR 2026
Junior Chair ML4H 2022
Reviewing
CVPR · ECCV · ICML · NeurIPS · ICCV · IEEE TMI
Mentoring

also

Talks

Dec 2025 Invited talk — Cohere For AI
Dec 2023 Invited talk — PathAI
Jun 2023 Seattle Central College — Blacks in Tech

Awards

2026 ECCV 2026 Oral — When Rubrics Fail
2023 NeurIPS 2023 Oral — Quilt-1M
© 2026 Wisdom O. Ikezogwo · research vision →