😊 About me
I’m a Biomedical Informatics PhD student in the College of Medicine at The Ohio State University. My research focuses on precision oncology across renal cell carcinoma, brain metastases, and pan-cancer settings, with an emphasis on biomarker discovery, treatment response prediction, survival modeling, patient stratification, and tumor microenvironment characterization. With a computational background, I develop machine learning and deep learning approaches that integrate multi-omics and large-scale cancer data to support translational cancer research.
I am very fortunate to be advised by Dr. Elshad Hasanov in the Hasanov Lab at The Ohio State University Comprehensive Cancer Center - The James.
🔥 News
- 2026.05: Our explainable ML/AI survival modeling study was published in Neuro-Oncology Advances.
- 2026.05: Our machine learning-based transcriptomic signatures study was selected for poster presentation at the ASCO 2026 Annual Meeting.
- 2026.05: Abstract 4526 was published in the Journal of Clinical Oncology ASCO 2026 Annual Meeting supplement.
- 2024.08: Started PhD training in Biomedical Informatics at The Ohio State University.
- 2024.08: Joined The Ohio State University Comprehensive Cancer Center as a Graduate Research Associate.
🧾 Posters
2026
Li P, Majeed Z, Ozgul S, Ali MIH, Single N, Stover DG, Makary MS, Bicer F, Mortazavi A, Rathmell WK, Singer EA, Niazi MKK, Wu R, Hasanov M, Hasanov E.
📝 Publications
2026
- Majeed Z, Ozgul S, Li P, Suki D, Acikgoz Y, Jonasch E, Ferguson SD, Hasanov M, Hasanov E. Explainable ML/AI Model for Estimating Postoperative Survival in Renal Cell Carcinoma Brain Metastasis Patients. Neuro-Oncology Advances. 2026;vdag140. doi:10.1093/noajnl/vdag140. IF = 4.1
- Gok Yavuz B, Li P, Ovando-Ricardez JA, La Ferlita A, Tse JW, Hanalioglu S, Babaoglu B, Baylarov B, Norberg LM, Chancoco H, Thompson E, Mut M, Soylemezoglu F, Huse JT, Osunkoya AO, Bilen MA, Hasanov M, Jonasch E, Shih DJ, Hasanov E. Deciphering the genomic landscape of renal cell carcinoma brain metastases. bioRxiv. 2026:2026.05.02.722447. doi:10.64898/2026.05.02.722447. bioRxiv
- Li P, Majeed Z, Ozgul S, Ali MIH, Single N, Stover DG, Makary MS, Bicer F, Mortazavi A, Rathmell WK, Singer EA, Niazi MKK, Wu R, Hasanov M, Hasanov E. Machine learning-based transcriptomic signatures to predict treatment outcomes across targeted and immunotherapy regimens in renal cell carcinoma. Journal of Clinical Oncology. 2026;44(suppl 16):4526. doi:10.1200/JCO.2026.44.16_suppl.4526. JCO / ASCO 2026
- Gok Yavuz B, Li P, Ovando-Ricardez JA, La Ferlita A, Tse JW, Hanalioglu S, Babaoglu B, Baylarov B, Norberg LM, Chancoco H, Thompson E, Mut M, Soylemezoglu F, Huse JT, Osunkoya AO, Bilen MA, Hasanov M, Jonasch E, Shih DJ, Hasanov E. Deciphering the genomic landscape of renal cell carcinoma brain metastases. Journal of Clinical Oncology. 2026;44(suppl 16):4524. doi:10.1200/JCO.2026.44.16_suppl.4524. JCO / ASCO 2026
- Ali MI, Majeed Z, Li P, Verschraegen CF, Niazi K, Hasanov E, Hasanov M. An optimized machine learning model for overall survival prediction in brain metastasis patients using genomic mutation and copy number features. Journal of Clinical Oncology. 2026;44(suppl 16):e14002. doi:10.1200/JCO.2026.44.16_suppl.e14002. JCO / ASCO 2026
- Majeed Z, Li P, Verschraegen CF, Hays JL, Niazi K, Hasanov M, Hasanov E. In silico phase III clinical trial of avelumab plus axitinib versus sunitinib in advanced renal cell carcinoma using a machine learning model transfer approach. Journal of Clinical Oncology. 2026;44(suppl 16):e16500. doi:10.1200/JCO.2026.44.16_suppl.e16500. JCO / ASCO 2026
- Abu Alragheb B, Ozgul S, Ali MI, Acikgoz Y, Abu Alragheb R, Li P, Majeed Z, Cevik L, Niazi K, Wu RC, Hasanov M, Hasanov E. Decoding cancers of unknown primary through genomics-driven clustering: a pan-cancer framework for prognostic classification using AACR GENIE data. Journal of Clinical Oncology. 2026;44(suppl 16):e15006. doi:10.1200/JCO.2026.44.16_suppl.e15006. JCO / ASCO 2026