Kuan-Hung (Peter) Yeh

Experience

• 

  Academia Sinica, Taiwan

  Jun 2018 - Sept 2018

  Summer Research Intern

  • Applied Random Forest, SVM, and Neural Network on National Health Insurance data• Predicted insurance deductibles on Ophthalmology with 83% accuracy

• 

  National Taiwan University

  Jun 2019 - Feb 2020

  Undergraduate Researcher

  • Constructed the First Prognostic Model for Asian Colon Cancer Patients• Validated the model discrimination and calibration with Harrell's c-index > 0.8• Provided the robust overall survival prediction to facilitate clinical shared decision making

• 

  Taichung Veterans General Hospital

  Jun 2019 - Sept 2019

  Summer Research Intern

  • Found Novel Genetics Locus on metabolic syndrome using GWAS• Analyzed and combined phenotype and genotype data to quantify the risk of metabolic syndrome

• 

  Taiwan Public Health Association

  Aug 2020 - Jan 2021

  Research Assistant

  • Developed an Automatic Mask Detection System using CNNs during the COVID-19 pandemics• Purchased by Taiwan’s CDC to estimate the real-time R0 of COVID-19

• 

  David Geffen School of Medicine at UCLA

  Oct 2021 - Jun 2023

  Graduate Student Reseacher

  • Performed mediation analyses and data visualizations for a three-arm randomized controlled trial• Developed a survival data simulation pipeline to estimate how genetic architecture impacts in survival modeling and polygenic risk score stratification.

• 

  Foundation Medicine

  Jun 2022 - Sept 2022

  Biostatistics Intern

  Biomarker & Biometrics Team (Biostatistics and Early Development)• Developed new criteria using simulation for diagnostic assay precision studies, boosting statistical power by 90%.• Contributed to the development of statistical software tools, including R function and Shiny app.• Conducted statistical analyses (e.g., sample size, power, precision) to ensure quality assurance for new reagent design in FoundationOne Liquid CDx.

• 

  UC San Diego

  Sept 2023 - now

  Doctoral Student

  • Collaborated with multiple clinical teams to design and conduct research studies, communicating scientific findings effectively and proactively solving problems to inform treatment safety and efficacy.• Generated real-world evidence in Gastroenterology using Optum claims datasets, enhancing treatment strategy evaluation through advanced survival analysis, multiple imputation, and propensity score methods.