Jo Liang

Applied Kaplan–Meier estimation, Cox proportional hazards models, and proportional hazards diagnostics to oncology trial case studies using R and SAS Developed reproducible R and SAS workflows for clinical data exploration, survival endpoint analysis, and generation of statistical outputs Evaluated oncology efficacy endpoints (OS, PFS, ORR, DOR) and compared their clinical and regulatory implications across different trial settings

Clinical Data Science Intern at Akeso Biopharma Inc. (2026-05 – 2026-08)

• Applied Kaplan–Meier estimation, Cox proportional hazards models, and proportional hazards diagnostics to oncology trial case studies using R and SAS
• Developed reproducible R and SAS workflows for clinical data exploration, survival endpoint analysis, and generation of statistical outputs
• Evaluated oncology efficacy endpoints (OS, PFS, ORR, DOR) and compared their clinical and regulatory implications across different trial settings
• Reviewed FDA guidance documents on overall survival interpretation, endpoint selection, and statistical considerations in late-stage oncology trials
• Assisted in the preparation of analytical outputs and formatted summary tables for internal training exercises and exploratory analyses. Explored treatment-effect estimation under non-proportional hazards scenarios using RMST and MaxCombo methodologies
• Developed familiarity with clinical research workflows, statistical programming practices, and data interpretation standards used in biopharmaceutical environments

Development & Executive Associate (Internship) at Zhongyuan Petroleum Products Co., Ltd. (2024-06 – 2024-09)

• Analyzed multi-source sales and customer datasets to support operational strategy decisions
• Developed automated reporting workflows using Excel, SQL, and Power BI, improving efficiency of recurring analyses
• Prepared visualizations and performance summaries for management reviews and executive decision-making

HBSc in Quantitative Biology, Genome Biology and Applied Data Science (ASIP Co-op stream) – University of Toronto (2024-09 – 2028-06)

Berkeley Global Access (BGA) – University of California, Berkeley (2023-09 – 2024-06)