Bill Chen Email & Phone Number

San Francisco, CA, US

Santa Clara, CA, US

• Deliver training to developers and data scientists and facilitate research on using artificial intelligence and GPU-accelerated computing to solve real work problems across various domains.
• Recent course highlight: conversational AI workshop and NLP workshop

Menlo Park, CA, US

• Construct and deploy machine learning solutions, enhancing the combined accuracy of ASR+NLU models from 70% to 99%.
• Establish a synthetic data pipeline for the language model, reducing data generation time from weeks to hours using a distributive computing approach.
• Build and maintain the end-to-end data collection workflow that allows fast-track data from annotator to model training and testing in a timely manner to prevent content drifting.
• Build gate-keeping golden test data for all models deployed in the speech org.

Atlanta, Georgia, US

As the Student Volunteer Chair for Supercomputing Conference 2023 (SC23), my role is crucial in managing and supporting our team of student volunteers (~150). I'm responsible for recruiting and training these volunteers, ensuring they're well-prepared to assist in various aspects of the conference. My duties include organizing their schedules, assigning.

Palo Alto, CA, US

• Built drug-screening machine-learning models using human embryonic protein cocktails.
• Developed image segmentation ML model for H&E hi-re microscopic slides.
• Leaded project of therapeutical feature embedding through unsupervised learning.
• Built e2e data portal for data ingestion and visualization.

• Built CNN-RNN remaining surgical duration (RSD) models with performance for real-time prediction to 1-3 minutes (SOTA 10-30 minutes)
• Created groundbreaking video feature engineering self-supervised learning model for data transformation that allows surgical anomaly detection.
• Built a functional product component that allows the above RSD model to deploy on the robotic surgical device.

Lexington, KY, US

• Built a High-performance Cluster [HPC] simulation pipeline for the Mix-Gamma Model with R.
• Simulated data from different gamma distributions and implemented unit tests, libraries, and workflow for the experience.

Lexington, KY, US

• Worked on constructing Protein NMR Reference Correction and Protein NMR Deuteration Level Detection frameworks.
• Built a statistical base model for an estimate or reference, correcting values for protein; implemented a Bayesian probabilistic framework to improve model performance.
• Exceeded the state-of-the-art performance levels measured by reference error below +/- 0.22 ppm at a 90% confidence interval.

Doctor Of Philosophy (Phd), Biochemistry, Bioinformatic

Master'S Degree (Certification), Statistics

Chemistry

Cert, Generative Ai With Large Language Models