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Integrating confidential computing with federated learning for industries
* 20+ years of programming experience on C, 10+ years on Matlab, 5+ years in C++, 3+ years in Python, Ruby, Java, R and 2+ years in Hadoop, SQL/No-SQL. * 10+ years experiences on embedded system development. Tools and environments include ITRON, uCLinux/Linux, Green Hills, Partner-Jet, etc. * 10+ years of experiences in and highly skilled at various techniques in machine learning (supervised and unsupervised learning, clustering, decision tree, random forest, support vector machine SVM, linear/logistic regression, logistic neural network, principal component analysis PCA, independent component analysis ICA, recurrent neural network, deep learning), nature language processing NLP, recommendation system, statistical modeling, time series analysis and data visualization. * 5+ of experiences in studying, design and implementing algorithms handling big data, and developing programs extracting valuable information from big data sets, including health care, physiological measurement and text. * Highly self-motivated. Earned more than 50 Statements of Accomplishments, all with distinction from Coursera, edX, Cal-Tech and Udacity on various topics over past 3 years. * 1+ year in various techniques in artificial intelligence (uninformed/informed search,non-classical search, adversarial search, propositional/first-order logic), cognitive modeling. * Lead of international team on sub system of large-scale cloud-based document management systems. Continuously contributing to open source projects. Near two years of agile software engineering practice with experience of daily scrum meetings. Familiar with JIRA, git, Jenkins and other tools. * Leading Sharp US DTV team passing various digital cable verification and pay-per-view certification. Specified, defined, designed, implemented and integrated features in various Internet TV. * Three issued US patents.
University of Southern California
Ph.D., Electrical Engineering
January 1, 1994 – January 1, 1999
National Taiwan University
BS, Electrical Engineering
January 1, 1987 – January 1, 1991
NVIDIA
Principal Software Engineer
March 1, 2025 – Present
NVIDIA
Senior Deep Learning Engineer
November 1, 2015 – July 1, 2025
Canon Information & Imaging Solutions
Senior Software Engineer
July 1, 2015 – November 1, 2015
Irvine, CA
Sharp Labs of America
Principal Researcher
November 1, 2014 – July 1, 2015
Sharp Labs of America
Senior Researcher
April 1, 2001 – November 1, 2014
Media Fair, Inc.
Director of Internet and Communication Technology
January 1, 2000 – January 1, 2001
University of Southern California
Research Assistant
September 1, 1996 – November 1, 1999
University of Southern California
Teaching Assistant
September 1, 1995 – August 1, 1996
Cloud Portal Office
October 1, 2013 – Present
Cloud-based document management system.
Health Informatics
March 1, 2012 – Present
Architecting, designing and implementing health informatics backend system and its interface to clinical environment.
Mobile Medical Device
May 1, 2009 – March 1, 2012
Designing algorithm to analyze physiological signals collected by medical devices.
The Data Scientist’s Toolbox
Coursera
June 24, 2026 – Present
Statistical Analysis of fMRI Data
Coursera
June 24, 2026 – Present
Mining Massive Datasets
Coursera
June 24, 2026 – Present
Artificial Intelligence
Coursera
June 24, 2026 – Present
Bioinformatics Algorithms (Part 1)
Coursera
June 24, 2026 – Present
Mathematical Biostatistics Boot Camp 2
Johns Hopkins University (Coursera)
June 24, 2026 – Present
Web Intelligence and Big Data
Indian Institute of Technology Delhi (Coursera)
June 24, 2026 – Present
Health Informatics in the Cloud
GeorgiaTech (Cousera)
June 24, 2026 – Present
Game Theory
Stanford University/The University of British Columbia (Coursera)
June 24, 2026 – Present
Heterogeneous Parallel Programming
University of Illinois at Urbana-Champaign (Coursera)
June 24, 2026 – Present
Neural Networks for Machine Learning
University of Toronto (Coursera)
June 24, 2026 – Present
edX Honor Code Certificate for Introduction to Biomedical Imaging
edX
June 24, 2026 – Present
edX Honor Code Certificate for Autonomous Navigation for Flying Robots
edX
June 24, 2026 – Present
Exploratory Data Analysis
Coursera
June 24, 2026 – Present
Reproducible Research
Coursera
June 24, 2026 – Present
Regression Models
Coursera
June 24, 2026 – Present
Developing Data Products
Coursera
June 24, 2026 – Present
AMRx Autonomous Mobile Robots
edX
June 24, 2026 – Present
SABR101x Sabermetrics 101: Introduction to Baseball Analytics
edX
June 24, 2026 – Present
Discrete Optimization
University of Melbourne (Coursera)
June 24, 2026 – Present
Machine Learning
Stanford University (Coursera)
June 24, 2026 – Present
Software Engineering for Software as a Service
UC Berkeley (Coursera)
June 24, 2026 – Present
Algorithms: Design and Analysis, Part 2
Stanford University (Coursera)
June 24, 2026 – Present
Mathematical Biostatistics Boot Camp
Johns Hopkins University (Coursera)
June 24, 2026 – Present
PH207x: Health in Numbers: Quantitative Methods in Clinical & Public Health Research
Harvard University (edX)
June 24, 2026 – Present
edX Honor Code Certificate for Big Data and Social Physics
edX
June 24, 2026 – Present
Statistical Inference
Coursera
June 24, 2026 – Present
Practical Machine Learning
Coursera
June 24, 2026 – Present
15.071x: The Analytics Edge
edX
June 24, 2026 – Present
PH525x: Data Analysis for Genomics
edX
June 24, 2026 – Present
機器學習基石 (Machine Learning Foundations)
Coursera
June 24, 2026 – Present
Bioinformatics: Introduction and Methods 生物信息学: 导论与方法
Coursera
June 24, 2026 – Present
From the Big Bang to Dark Energy
The University of Tokyo (Coursera)
June 24, 2026 – Present
Algorithms: Design and Analysis, Part I
Stanford University (Coursera)
June 24, 2026 – Present
Probabilistic Graphical Models
Stanford University (Coursera)
June 24, 2026 – Present
Applied Cryptography
University of Virginia (Udacity)
June 24, 2026 – Present
edX Honor Code Certificate for Introduction to Big Data with Apache Spark
edX
June 24, 2026 – Present
Image and video processing: From Mars to Hollywood with a stop at the hospital
Duke University (Coursera)
June 24, 2026 – Present
Computing for Data Analysis
Johns Hopkins University (Coursera)
June 24, 2026 – Present
An Introduction to Operations Management
University of Pennsylvania (Coursera)
June 24, 2026 – Present
Getting and Cleaning Data
Coursera
June 24, 2026 – Present
R Programming
Coursera
June 24, 2026 – Present
Artificial Intelligence for Robotics
Stanford University (Udacity)
June 24, 2026 – Present
Cryptography I
Stanford University (Coursera)
June 24, 2026 – Present
Healthcare Innovation and Entrepreneurship
Duke University (Coursera)
June 24, 2026 – Present
Pattern-Oriented Software Architectures for Concurrent and Networked Software
Vandberbilt University (Coursera)
June 24, 2026 – Present
Learning from Data
Caltech
June 24, 2026 – Present
Bioelectricity: An Quantitative Approach
Duke University (Coursera)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience, ranging from medical devices and health informatics to cloud document management and deep learning in automotive, indicates adaptability and a broad interest in various domains. Their continuous pursuit of certifications in data science, machine learning, and big data demonstrates a strong commitment to learning and staying current with industry trends, which aligns well with a culture of continuous improvement. The target role of 'Data Analyst' aligns with their demonstrated skills in data analysis, machine learning, and data pipeline design, although their experience leans more towards a Senior Data Scientist or Machine Learning Engineer role.
Soft Skills & Operational Fit
The candidate's extensive experience in leading projects and architecting systems suggests strong problem-solving, leadership, and strategic thinking skills. Their work on cross-platform applications and maintaining performance indicates an operational fit for complex data environments. However, specific soft skill assessments (e.g., teamwork, communication style) are not available from the provided data.