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Senior Machine Learning Engineer

Aptiv

• Led a five-engineer team developing an end-to-end multimodal sensor-fusion perception system for Level 4 autonomous driving.
• Architected and optimized Transformer-based 3D perception modules with TensorRT and ONNX for edge deployment, improving performance by more than 8% over production benchmarks.
• Partnered with MLOps, data, and KPI teams to integrate Airflow and MLflow pipelines supporting robust data quality and efficient model training.

Postdoctoral Researcher, Machine Learning

University of Tübingen / Donders Institute

• Researched self-supervised and unsupervised representation learning for long-tailed neuroimaging disease detection.
• Improved psychosis detection by 6.7% AUROC using a self-supervised masked mesh vision transformer.
• Investigated vision-language foundation-model fine-tuning for large-scale neurodegenerative disease detection.

Senior Machine Learning Scientist, Domain Transfer and Privacy

National Health Research Institutes

• Introduced a privacy-aware federated learning approach (FedCM) to improve Alzheimer disease detection across multiple sources.
• Identified and differentiated key regions of interest related to normal brain degeneration and Alzheimer disease.
• Mentored students on robust multi-site ADHD detection using a conditional-adversarial domain adaptation network (CDAN).

Doctoral Researcher, Affective Electrophysiology Responses under Audio / Visual Stimuli

Behavioral Informatics & Interaction Computation Lab (BIIC)

• Enhanced physiological emotion recognition by 3.5% UAR through Transformer-based personalized modeling.
• Achieved an 8% UAR increase in personality recognition using a multi-head attention graph convolutional network.
• Studied subjective and intended emotion responses from ECG, EDA, and EEG signals with Shapley analysis.

Machine Learning Scientist, Cardiovascular Disease Detection

Inventec AI Center

• Led development of an end-to-end heart-disease anomaly detection system using time-series, multi-lead ECG.
• Proposed Mixed-Domain Self-Attention ResNet (MDARsn) to handle missing and anomalous ECG data for robust multilabel detection.
• Received the Best Challenge Poster Award in the PhysioNet/CinC Challenge 2021 and secured US patent US20230153575A1.

Senior Machine Learning Scientist

C-Media Electronics, Inc.

• Led a team of five developing a real-time fully convolutional speech dereverberation engine, achieving an SRMR score of 4.774.
• Oversaw the full R&D pipeline, including data collection and synthesis, model and metric design, error analysis, and model compression.
• Pioneered speech cloning from previously unseen sources using generative adversarial networks.

Lead ML Consultant

Institute for Information Industry (III)

• Led a team of five developing a deep video-retrieval system to accelerate fake-news screening.
• Proposed a video-retrieval system with 95.1% retrieval precision and orchestrated its deployment with Docker.
• Enabled deployment at Taiwan FactCheck Center and MyGoPen, two leading nonprofit fact-checking organizations.

Machine Learning Scientist, Neurocognitive Assessment using Brain MRI

National Health Research Institutes

• Spearheaded an MRI research pipeline spanning preprocessing with FreeSurfer and SPM, modeling, and explainable AI with GradCAM++.
• Increased three-class Alzheimer disease detection by 8.98% UAR using a 3D autoencoder with multi-view contrastive loss (BSEN).
• Achieved state-of-the-art 80.2% UAR in binary face-processing ability classification using event-contrastive Node2Vec embeddings.

PhD

National Tsing Hua University (NTHU)

Electrical Engineering

• Got President Scholarship which is given to promising students in EE Dept.

B.S.

National Tsing Hua University (NTHU)

Electrical Engineering

Gamania Digital Entertainment Co., Ltd.

Machine Learning Engineer

• Developed Multi-modal behavior profiling system utilizing Speech, Face, and Gesture for AI-driven hiring recommendations.
• Designed and implemented a real-time, Multi-person Multi-modal data collection system to complement the profiling system.

Program Committee Member

IEEE ICKII, IEEE ICEIB, IARIA CENTRIC

Served on the program committee for IEEE ICKII, IEEE ICEIB, and IARIA CENTRIC.

Best Challenge Poster

PhysioNet/CinC Challenge, Computing in Cardiology Society

Awarded the Best Challenge Poster in the PhysioNet/CinC Challenge 2021.

Travel Grants

IEEE Signal Processing Society

Received travel grants for ICASSP 2019.

Paper Presentation Scholarship

ACLCLP, Taiwan

Scholarship for presenting research at ACLCLP.

AI Scholarship

Adbertech Inc., Taiwan

President Scholarship

National Tsing Hua University

Scholarship given to promising new PhD students in the EE Department.

Summer Academic Exchange Program

Fudan University, China

Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping

2024 IEEE International Symposium on Biomedical Imaging (ISBI)

Self-supervised masked mesh vision transformer for cortical anomaly and unsupervised heterogeneity mapping.

A Media-Guided Attentive Graphical Network for Personality Recognition Using Physiology

IEEE Transactions on Affective Computing

Journal paper on personality recognition from physiological signals.

A Mixed-Domain Self-Attention Network for Multilabel Cardiac Irregularity Classification Using Reduced-Lead Electrocardiogram

Computing in Cardiology (CinC) 2021, Brno, Czech Republic

Federated Learning via Conditioned Mutual Learning for Alzheimer Disease Classification on T1w MRI

43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2021

Cross Corpus Physiological-based Emotion Recognition Using a Learnable Visual Semantic Graph Convolutional Network

MM'20: The 28th ACM International Conference on Multimedia (ACMMM) 2020

Conditional Domain Adversarial Transfer for Robust Cross-Site ADHD Classification Using Functional MRI

ICASSP 2020, Barcelona, Spain

A Siamese Content-Attentive Graph Convolutional Network for Personality Recognition Using Physiology

ICASSP 2020, Barcelona, Spain

Behavior Score-Embedded Brain Encoder Network for Improved Classification of Alzheimer Disease Using Resting State fMRI

EMBC 2020, Montreal, QC, Canada

An Attribute-invariant Variational Learning for Emotion Recognition Using Physiology

ICASSP 2019, Brighton, United Kingdom

An Event-contrastive Connectome Network for Automatic Assessment of Individual Face Processing and Memory Ability

ICASSP 2019, Brighton, United Kingdom

Annotation Matters: A Comprehensive Study on Recognizing Intended, Self-reported, and Observed Emotion Labels using Physiology

8th International Conference on Affective Computing and Intelligent Interaction (ACII) 2019, Cambridge, United Kingdom

Integrating Perceivers Neural-Perceptual Responses Using a Deep Voting Fusion Network for Automatic Vocal Emotion Decoding

ICASSP 2018, Calgary, AB, Canada

A Triplet-Loss Embedded Deep Regressor Network for Estimating Blood Pressure Changes Using Prosodic Features

ICASSP 2018, Calgary, AB, Canada