Peng Li

Peng Li

PhD student

Biomedical Informatics

The Ohio State University Comprehensive Cancer Center

😊 About me

I am 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, drug 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.

Research keywords in computational oncology, artificial intelligence, and multi-omics cancer research PRECISION ONCOLOGY MACHINE LEARNING BIOMARKERS MULTI-OMICS DEEP LEARNING ONCOLOGY DRUG DISCOVERY SURVIVAL MODELING TRANSCRIPTOMICS GENOMICS IMMUNOTHERAPY TREATMENT RESPONSE RENAL CELL CARCINOMA GRAPH NEURAL NETWORKS BRAIN METASTASES TUMOR MICROENVIRONMENT TARGETED THERAPY PATIENT STRATIFICATION EXPLAINABLE AI COMPUTATIONAL ONCOLOGY BIOINFORMATICS FOUNDATION MODELS CLINICAL AI AI FOR MEDICINE DATA PAN-CANCER RNA-SEQ GENE EXPRESSION CANCER GENOMICS DATA INTEGRATION FEATURE SELECTION THERAPEUTIC TARGETS CLINICAL PREDICTION PROGNOSTIC MODELING RISK MODELING PREDICTIVE MODELING REAL-WORLD DATA OMICS SIGNATURES PATIENT OUTCOMES PRECISION MEDICINE TRANSLATIONAL RESEARCH OUTCOME MODELING BIOSTATISTICS NEURAL NETWORKS MODEL INTERPRETABILITY DRUG RESPONSE TARGET DISCOVERY THERAPY SELECTION MOLECULAR SUBTYPES CANCER DATA SCIENCE LARGE-SCALE CANCER DATA TUMOR BIOLOGY SYSTEMIC THERAPY RESPONSE PREDICTION MODEL VALIDATION BIOMARKER DISCOVERY RNA EXPRESSION CLINICAL VARIABLES SURVIVAL CURVES COHORTS IMDC RISK JAVELIN RENAL 101 MUTATION COPY NUMBER DATA MINING BIOMEDICAL INFORMATICS CLINICAL GENOMICS RCC MULTI-MODAL DATA CANCER BIOLOGY TREATMENT OUTCOMES PFS OS RNA ML AI NOMOGRAM SIGNATURES TARGETS COX MODEL KAPLAN MEIER AUC HALLMARKS T CELL

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🌟 Highlights

🧑‍⚖️ Academic Service

Peer reviewer for Journal of King Saud University - Computer and Information Sciences, Data Mining and Knowledge Discovery, Scientific Reports, and BMC Bioinformatics.