Summary
Overview
Work History
Education
Skills
Certification
Publications
Timeline
Generic

BRYCE CHEN

Hataitai,New Zealand

Summary

AI Architect with 16 years of research and commercial experiences in data science and engineering. Experienced in developing and implementing machine learning and deep learning based solutions for pivotal projects. Led research initiatives and manage science projects, clients relationships and publications. Proficient for solution and product development in various environments including AWS, Azure, HPC and Hadoop Big Data System. Held various leadership positions in MNC including Technical Manager in TSMC and Principal Data Scientist in Micron. Represented Micron Singapore Control System Team in technology transfer for strategic programs in Taiwan, Japan and US.

Overview

16
16
years of professional experience
1
1
Certification

Work History

AI Architect

National Institute of Water and Atmospheric Research
11.2024 - Current
  • Lead the architecture design and development for NIWA Data Platform project, including data ingestion and machine learning pipeline.
  • Automate sensor anomaly detection solution on AWS cloud using Sagemaker pipeline and Terraform.
  • Developed A+ prediction models for Wellington regional residential water demands using AWS Canvas AutoPilot.
  • Work with IT for AWS Cloud practice BP, account and architecture management.

AI & DL Data Scientist

National Institute of Water and Atmospheric Research
08.2022 - 10.2024
  • Developed and implemented deep-learning based meteorological sensor anomaly detection solution in Azure Cloud using Azure ML Pipeline, Terraform, MongoDB and PowerBI.
  • Developed and implemented neural nowcasting system for drainage water level early prediction and warning of flood events in Singapore, automated using Azure ML pipelines.
  • Developed solar and wind energy neural nowcasting system using NZ climate station sensor data, reanalysis and satellite data.
  • Collaborated with scientists for Endeavour Fund Smart Idea proposal submission.

Technical Manager

TSMC
01.2021 - 07.2022
  • Data science team lead for high priority image recognition and digital transformation projects.
  • Developed a complex edge computing architecture for wafer arcing detection in Chemical Vapor Deposition (CVD) Chamber on 28nm technology node by integrating FPGA high frequency sensor signals, SECS-GEM protocol, machine learning algorithm and Streamlit dashboard.
  • Led Virtual Metrology solution development and deployment for CVD, Plasma Etch layers.
  • Contributed to post-PM workflow automation system development for Plasma Etch tools using Neo4j graph database and python programming.
  • Contributed to Super Resolution algorithm development for RDA wafer defect image enhancement.

Principal Data Scientist/Senior Data Scientist

Micron Technology
08.2015 - 12.2020
  • Micron Technical Leadership Program mentor & Technical Journal paper review board member.
  • Developed Multivariate Clustering Application for worldwide deployment in Micron Yield Management System.
  • Developed sensor anomaly detection algorithm using LSTM Autoencoder, integrating with Apache Nifi, PostgreSQL DB and Apache Hbase.
  • Developed and deployed Failure Mode Auto-Classification System for probe ESDA data using supervised and unsupervised learning methods for tier 1 product grade improvement.
  • Led the pilot Predictive Maintenance project for CMP washer failure prediction.
  • Led Equipment Event Tracking Platform deployment for fab wafer output improvement program.
  • Developed Multi-Level Feedforward and Floating Target Control for real-trap based wet etch process and achieved 1% yield gain for 64-tier 3D NAND.

Member of Technical Staff/Senior Engineer/Engineer

Micron Technology
07.2008 - 07.2015
  • Developed Multivariate Hotelling T2 model for Plasma Etch vain arcing detection.
  • Developed advanced R2R control algorithms/strategies for CVD/PVD.
  • Led FDC system migration and contributed to KPI metrics generation for system health tracking.
  • Led advanced FDC solution development and implementation, including auto limit generation, adaptive FDC and FDC-R2R control integration.

Education

Master of Science - Computer Science

Georgia Institute of Technology
11.2024

Master of Science - Industrial And Systems Engineering

National University of Singapore
01.2015

Bachelor of Engineering - Electrical And Electronic Engineering

Nanyang Technological University
01.2008

Skills

    Neural Forecasting

    Anomaly Detection

    AWS

    Azure

    Terraform

    Clustering

    Process Control

    Team Management

    Technical Writing

    Technical Presentation

Certification

AWS Certified Solution Architect Associate, 08/24

Publications

  • Sensor-Drift-Aware Time-Series Anomaly Detection for Climate Stations., IEEE Conference on Artificial Intelligence (CAI), 2024
  • ESDA Failure Mode Auto-Classification for Product Grade Improvement, Micron Data Science Technical Seminar, 2020
  • Machine learning Based Time Series Anomaly Prediction System for Target Burn-Through Early Detection in Plasma Vapor Deposition, Micron STS-FE Technical Seminar, 2019
  • Deep LSTM Online Learning Implementation and Optimization for Anomaly Detection, Micron JTS Technical Seminar, 2018
  • Sensor Anomaly Detection using Deep Learning, Micron Data Science Technical Seminar, 2018
  • Floating real trap-based wet etch target control for 3D NAND yield and reliability improvement, Micron STS-FE Technical Seminar, 2017
  • Development of a Predictive Maintenance System for CMP Tools, Micron TLP Technical Journal, 2016
  • Use of Multivariate Methods in Fault Detection System to Detect Vein Arcing in Etch Chambers, Micron TLP Technical Journal, 2016
  • Cognitive Radio Channel Allocation Using Auction Mechanisms, VTC Spring, 2008
  • Optimizing the Second-Price Auction Algorithm in a Dynamic Cognitive Radio Network, ICCS, 2008

Timeline

AI Architect

National Institute of Water and Atmospheric Research
11.2024 - Current

AI & DL Data Scientist

National Institute of Water and Atmospheric Research
08.2022 - 10.2024

Technical Manager

TSMC
01.2021 - 07.2022

Principal Data Scientist/Senior Data Scientist

Micron Technology
08.2015 - 12.2020

Member of Technical Staff/Senior Engineer/Engineer

Micron Technology
07.2008 - 07.2015

Master of Science - Industrial And Systems Engineering

National University of Singapore

Bachelor of Engineering - Electrical And Electronic Engineering

Nanyang Technological University
AWS Certified Solution Architect Associate, 08/24

Master of Science - Computer Science

Georgia Institute of Technology
BRYCE CHEN