Christopher Bui Email & Phone Number

Boston, MA, US

Long Beach, California, US

• Developed optimized SQL queries on the Microsoft Azure Data Platform to analyze patient EHR and claims data, enabling insights into healthcare trends and client behavior.
• Led development of Attribution Models, CART and Deep Neural Network classifiers using PyTorch, to predict high-risk patients for medication non-adherence with improved precision.
• Deployed machine learning models in production, evaluating their performance to enhance the identification of members eligible for healthcare plans through AUC-ROC metrics.

Irvine, CA, US

• Maintained integrity of end-to-end data pipelines by performing data engineering using PySpark, including data validation, preprocessing, and transformation of clinical KPI datasets, ensuring consistent schema.
• Optimized interactive data visualizations by enhancing Python Dash Plotly dashboards, reducing latency and improving user experience for clinical stakeholders.

Hercules, CA, US

• Developed optimized SQL queries in Snowflake to accelerate dataset preparation for PowerBI dashboards built using DAX language.
• Conducted profit margin analysis across the company's product portfolio to identify actionable KPIs, improving product strategy.

Laurel, Maryland, US

• Built a scalable ETL data pipeline in Python to preprocess environmental sensor data from hospital operating rooms.
• Developed regression and clustering models to predict hazardous operating room conditions, improving patient safety protocols.
• Leveraged High Performance Computing (HPC) clusters with SLURM on Linux to run SARS-CoV-2 protein-protein docking simulations.
• Analyzed Covid-19 personal protective equipment inventory using PySpark, identifying supply chain bottlenecks.
• Created Standard Operating Procedures (SOPs) for field-testing IoT hardware that predicted core body temperatures in real-time.

St Paul, MN, US

• Leveraged PySpark and NTLK on AWS to preprocess large-scale parquet text files containing medical records to
• Designed NLP models to generate text embeddings of ICD-10 medical codes, enhancing medical code recommendation accuracy.

New York, NY, US

• Completed an intensive 12 week Data Science Bootcamp focused on machine learning, statistical modeling, project design, and communication.

San Diego, CA, US

• Utilized Stanford BioDesign Method to identify ineffective and costly practices in the field of Psychiatry
• Designed solution to reduce schizophrenic readmission rates by 5%
• Developed methods of engaging STEM students into the field of entrepreneurship

La Jolla, CA, US

• Managed experiments and recorded data
• Performed routine lab maintenance
• Research focused on analyzing participants' purchasing habits and quality of decisions in response to external stimuli

M.S., Bioinformatics

Biophysics B.S., Physics

Entrepreneurship Minor