Philip Chikontwe

Experience

Positions, education, professional service and mentoring.

Positions

2024 – present
Research Fellow

Yu Lab, Department of Biomedical Informatics, Harvard Medical School
Machine learning, vision-language and large language models for cancer diagnosis and tumor characterization, with Prof. Kun-Hsing Yu.
2023 – 2024
Postdoctoral Researcher

Medical Imaging & Signal Processing Lab (MISPL), DGIST
Computational pathology, few-shot learning and medical image analysis, with Prof. Sang Hyun Park (now at POSTECH).

Professional Service

Editorial

Associate Topic Editor, Frontiers in Medicine
Special Issue: Multimodal, Foundation and Agent AI for Real-World Clinical Decision Support: Patient-Level Diagnosis, Prognosis, and Treatment Selection

Reviewer

Conferences

MICCAICVPRECCVNeurIPS

Journals

IEEE Transactions on Medical Imaging (IEEE TMI)
IEEE Journal of Biomedical and Health Informatics (IEEE JBHI)

Organizing

Committee Member
PRIME Workshop, MICCAI 2024
Co-Chair
PRIME Workshop, MICCAI 2022

Education

2018 – 2023
Ph.D., Robotics and Mechatronics Engineering

Daegu Gyeongbuk Institute of Science and Technology (DGIST), South Korea
2018
M.S., Computer Science

Chonbuk National University, South Korea
2015
B.S., Computer Science

Abdelhamid Mehri Constantine 2 University, Algeria

Mentoring

I am passionate about educating the next generation of researchers and practitioners in medical image analysis and machine learning.

Master's students (2)Undergraduate research interns (2)