CV

PhD in Health and Biomedical Informatics

• Advisor Dr. Saptarshi Purkayastha, Purkayastha Lab for Health Innovation
• Research focus on Medical AI, Multimodal Learning, and Medical Signal Processing

Bachelor of Science in Electrical Engineering

• Concentration in Machine Learning and Controls
• Research Assistant in Statistical Visual Computing Lab, advised by Prof. Nuno Vasconcelos
• Research Assistant in Xu Research Group, advised by Prof. Sheng Xu

Undergraduate Coursework in Science, Math, and Engineering

Graduate Research Assistant

• Advised by Prof. Saptarshi Purkayastha
• Embeddings are Noise Eliminators - Ablation Studies to Show What is Eliminated in Foundation Models
• Multimodal Model for Activity Recognition in Parkinson's and Non-Parkinson's Individuals Using Biological Sensors
• CrossSeizure - Learning Generalizable Representations for Cross-Dataset Epileptic Seizure Classification

Summer Research Assistant

• Advised by Dr. Bridget Bannerman & Prof. Jorge Júlvez
• Conducted systems biology modeling to investigate how Mycobacterium tuberculosis infection alters macrophage metabolism and contributes to lung cancer progression.
• Implemented genome-scale metabolic models (iAB-AMØ-1410, iAB-AMØ-1410-Mt-661) in COBRApy to perform Flux Balance and Flux Variability Analyses for host–pathogen interaction mapping.
• Identified 223 infection-specific essential reactions and quantified nutrient dependencies through medium minimization to reveal candidate metabolic drug targets.
• Simulated infection-induced metabolic burden, showing a 92% reduction in macrophage biomass growth rate due to Mtb-driven energetic constraints.

Undergraduate Research Assistant

• Advised by Prof. Maurício de Oliveira & Prof. Jack Silberman
• Designed and implemented a deep learning-driven autonomous vehicle capable of real-time navigation and object detection using Raspberry Pi, TensorFlow, OpenCV, and the DonkeyCar framework.
• Collected and processed over 35,000 images frames to train convolutional neural networks (CNNs) for lane detection, steering prediction, and obstacle avoidance.
• Integrated electronic control modules, motor drivers, and sensors to build a reliable embedded platform with sub-150 ms inference latency.
• Reduced vehicle failure rate from 25% to 3% through iterative testing and model optimization, achieving fully autonomous operation across 10 indoor and 6 outdoor laps.

Undergraduate Research Assistant

• Advised by Prof. Nuno Vasconcelos
• Developed a deep learning-based system for automated plankton image labeling and retrieval to support ecological research at the Scripps Institute of Oceanography.
• Applied transfer learning with ResNet-50 and InceptionResNetV2 models and integrated Approximate Nearest Neighbor (ANN) search for large-scale image similarity retrieval.
• Built a prototype web interface for visualizing search results and accelerating image annotation.
• Expanded dataset diversity through data augmentation using Keras and TensorFlow, increasing classification accuracy to 90% for fine-grained plankton species.

Undergraduate Research Assistant

• Advised by Prof. Sheng Xu
• Fabricated a stretchable conformal ultrasonic probe using laser micro-cutting and soft elastomer encapsulation for non-invasive cardiovascular monitoring.
• Simulated ultrasound beam patterns and penetration depth in MATLAB and compared predicted and experimental results to validate transducer performance.
• Analyzed device stability and acoustic coupling under mechanical deformation to ensure signal fidelity during motion.
• Prepared IRB documentation and risk assessments for human-subject testing of the device.
• Contributed to the publication “Monitoring of the Central Blood Pressure Waveform via a Conformal Ultrasonic Device” (Nature Biomedical Engineering, 2018).

Automated Vending Machine Control System Engineer

• Supervised by Executive Director Alex Phan, Department of Mechanical and Aerospace Engineering
• Designed a three-level automated vending machine using SolidWorks, integrating 3D-printed trays, spiral ejectors, and a laser-cut acrylic structure.
• Programmed and optimized the control algorithm with NI myDAQ and LabVIEW for instantaneous product dispensing and fault-free operation.
• Led system integration and testing to ensure mechanical reliability and real-time control performance.
• Recognized with the Most Reliable Device Award and earned the LabVIEW Associate Developer Certificate from National Instruments.

DICT (Data, Information, Communication, Technology) Project Solution Team Lead

• Managed 5+ concurrent healthcare IT implementation projects, coordinating between China Mobile technical teams, hospital administrators, and third-party system vendors across Yunnan Province.
• Led EHR system integration project at The First Affiliated Hospital of Kunming Medical University, managing vendor coordination, timeline planning, and interoperability requirements to ensure clinical data continuity.
• Increased project delivery efficiency from 75% to 90% by introducing milestone-based schedule tracking, risk forecasting, and performance optimization frameworks.
• Collaborated with top-tier hospital information system enterprises to establish the Internet Hospital of Yunnan Province on China Mobile Cloud, cutting onboarding costs for smaller medical institutions by 55%.
• Oversaw solution design and policy compliance for ongoing regional telemedicine and Internet Hospital projects, aligning implementation with national eHealth standards.

DICT Project Solution Manager, Healthcare Informatics Division

• Spearheaded healthcare digital transformation initiatives under China Mobile’s DICT strategy, managing full project lifecycles from requirements definition to post-deployment evaluation.
• Delivered large-scale healthcare informationization projects valued at 21 million Chinese Yuan by aligning multidisciplinary teams, controlling schedules, and mitigating implementation risks.
• Architected and led the design of VPDN Medical Insurance Account Management Software, developing functional prototypes and technical specifications that improved project delivery efficiency by 15% and obtained national software copyright certification.
• Directed the Kunming Fangcang Shelter Hospital Medical Data Transmission Network Project, achieving completion 10 days ahead of schedule and reducing labor costs by 8% through optimized resource planning during the COVID-19 response.

Student Police Aid

• Dispatched student patrols, managed campus access, and ensured facility security.
• Assisted with fingerprinting and onboarding for new faculty and staff.
• Supported event logistics, including parking and crowd management for campus activities.

Lab Assistant

• Managed and maintained lab equipment for student projects
• Provided assistance and guidance on equipment usage

Emergency Department Volunteer

• Assisted ER nurses in preparing rooms and equipment for incoming patients.
• Monitored and replenished medical supply inventories to ensure readiness for emergency care.

• Wang C, Li X, Hu H, Zhang L, Huang Z, Lin M, Zhang Z, Yin Z, et al. "Monitoring of the central blood pressure waveform via a conformal ultrasonic device." Nature Biomedical Engineering, 2(9), 687-695. doi 10.1038/s41551-018-0287-x

• China Mobile VPDN Management System [VPDN Management System] Y1.0. Software Copyright Registration No. 2023SR0247197, National Copyright Administration of the People's Republic of China

• Oral Presentation, Co-Author "Construction of a Hospital-wide Critical Illness Rescue Network Based on 5G for Severe Illness Early Warning Platform." 30 finalists in 5G+ Healthcare Special Competition Finals, The 7th "Blooming Cup" 5G Application Competition

• Human Research Biomedical Researcher - Stage 1, CITI
• Biomedical Responsible Conduct of Research, CITI
• GCP - Social and Behavioral Research Best Practices for Clinical Research, CITI

• AI for Medical Treatment (DeepLearning.AI), Coursera
• AI for Medical Prognosis (DeepLearning.AI), Coursera
• AI for Medical Diagnosis (DeepLearning.AI), Coursera

• Qualification of Telecommunication Professional, Ministry of Human Resources and Social Security & Ministry of Industry and Information Technology, China

• Certified LabVIEW Associate Developer (CLAD), National Instruments