Prika Huang
London,UK
Summary
A highly skilled professional with a strong focus on clinical research coordination and data analysis, leveraging expertise in statistical and machine learning methods to drive innovation and creativity. Demonstrates a patient-centred approach, ensuring effective communication and regulatory awareness in all projects. Committed to delivering analytical and detail-oriented solutions through scientific modelling and statistical interpretation, with a career goal of advancing healthcare research through data-driven insights.
Overview
2
2
years of professional experience
4
4
years of post-secondary education
Work history
AI Research Intern - Adaptive Generative AI for Learning Simulation
Anheng Information Technology Co., Ltd.
10.2024 - 03.2025
- Evaluated generative AI models designed for educational simulations by testing outputs and benchmarking prediction accuracy
- Constructed and filtered domain-specific keyword corpora to support content alignment and behavioral signal extraction
- Analyzed model evaluation results and contributed to refining algorithm performance through iterative feedback
- Applied interpretability tools to examine model outputs and uncover patterns in learner behavior
- Assigned and structured tasks for retrieval-augmented generation (RAG) pipelines
Health Data Analyst - Spatial Modelling of Epidemics
Lancaster University
05.2023 - 12.2023
- Built spatial stream network and regression models to analyze population-scale COVID-19 signals from wastewater data
- Applied advanced statistical techniques to identify trends, assess product performance, and propose enhancements
- Ensured data privacy and compliance with ethical guidelines while coordinating with stakeholders for accurate pre-processing and model implementation
- Applied machine learning models to enhance model accuracy and conducted a self-review to identify areas for improvement in future projects
Academic Research & Projects
Lancaster University
10.2022 - 10.2023
- Clinical Research Study - Led data analysis for a large-scale NHS patient outcomes study, examining risk factors, treatment efficacy, and long-term health impacts
- Data Governance in Clinical Research - Studied the impact of data protection policies on patient confidentiality
- Conducted exploratory modeling based on health economics principles (e.g., cost-effectiveness thresholds, utility maximization) to simulate trade-offs in medical interventions, laying the groundwork for future applications in healthcare resource allocation and digital policy simulation
Research Assistant - Simulation Studies on Missing Data Mechanisms
Lancaster University
02.2023 - 05.2023
- Simulated MCAR/MAR/MNAR scenarios and benchmarked imputation algorithms
- Applied Bayesian inference workflows to assess model robustness and sensitivity
- Gained insight into handling incomplete clinical and histological datasets
Education
MSc - Health data science
Lancaster University
10.2022 - 12.2023
BSc - Statistics
Lancaster University
10.2019 - 07.2022
Skills
- Effective Communicator
- Regulatory-Aware
- Patient-Centered Approach
- Analytical & Detail-Oriented
- Data Analysis & Visualization
- Statistical & Machine Learning Methods
- Clinical Research Coordination
- Scientific modelling
- Innovation and creativity
- Statistical interpretation
Timeline
AI Research Intern - Adaptive Generative AI for Learning Simulation
Anheng Information Technology Co., Ltd.
10.2024 - 03.2025
Health Data Analyst - Spatial Modelling of Epidemics
Lancaster University
05.2023 - 12.2023
Research Assistant - Simulation Studies on Missing Data Mechanisms
Lancaster University
02.2023 - 05.2023
MSc - Health data science
Lancaster University
10.2022 - 12.2023
Academic Research & Projects
Lancaster University
10.2022 - 10.2023
BSc - Statistics
Lancaster University
10.2019 - 07.2022
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