Armed with a Master's degree in Computer Science and a PhD in Management, I seamlessly blend technical prowess with managerial insight. Beginning my career as a full-stack engineer at Thermo Fisher Technologies, I refined my skills in software development and project management before joining Amazon.com Inc. as a back-end engineer, contributing to scalable systems for a global e-commerce giant.
Passionate about the transformative power of technology in education, I actively bridge these domains through mentoring and developing educational tools. Committed to continuous learning, I stay current with industry advancements through conferences and networking. Ready for the next chapter, I aim to leverage my diverse experiences to drive positive change in both technology and education, inspiring the next generation of leaders while solving complex challenges.
My research citations have reached above 1050+ on google scholar! 03/2025
Super happy to complete 2 undergraduate admissions interview for Dartmouth College! 02/2025
Click Here to download the PDF version of my resume!
Dartmouth College Hanover, NH, US
M.S. in Computer Science (Full Scholarship) Sep 2019 - Jun 2021
(Coursework: Machine Learning, Deep Learning, Smartphone Programing, Full-Stack Web Development, Data Science & Data Mining, Human-Computer Interaction,Security & Privacy, Network Science & Complex Systems)
Shanghai Jiao Tong University Shanghai, China
PhD in Management (First-class scholarship) Sep 2011 - Dec 2017
(Research: Mobile Sensing on Behavioral Health, Self Regulation and Obesity Control)
Nanjing University of Finances & Economics Nanjing, China
Bachelor of Arts in Advertising Sep 2007 - June 2011
My Google Scholar research citations have achieved 920 as of April, 2024.
CelestialGradience.com Sunnyvale, CA, US
PM / Founder Mar 2024 - Now
Led my personal consultation business, implemented the website development while managing the product roadmap and go-to-market (GTM) strategy.
Directed the end-to-end website lifecycle-from wireframe and Lofi/HiFi prototype to MVP execution - while designing the UI/UX and launching an online booking system.
Drove ongoing innovation by optimizing SEO and developing new features, tools, and products for enhanced user engagement.
Published 2 astrological books on Amazon with both Traditional Chinese and English Provided.
Amazon.com Services, LLC. Santa Clara, CA, US
TPM / Software Dev Engineer (Back-end Developer) in Multi-Channel Fulfillment Oct 2022 - Mar 2024
Spearheaded the design and optimization of a multi-channel shipment fulfillment back-end system, efficiently managing millions concurrent user requests daily in 3 global regions, which led to a 20% acceleration in goods delivery times during peak holiday seasons and regular workdays.
Played a pivotal role throughout the full software development lifecycle for 5+ major projects, encompassing agile development, A/B testing, deployment, operations, and documentation, ensuring adherence to high-quality standards and seamless execution.
Led the adoption of best practices in software design, engineering, version control (Git), testing (with 100% code coverage), and documentation, improving team productivity by 30% and enhancing product reliability.
Developed and implemented innovative software solutions that addressed key challenges in shipment fulfillment, resulting in a 25% increase in customer satisfaction and a 15% reduction in delivery times.
Authored and reviewed over 20,000 lines of high-quality, maintainable code, significantly contributing to the project's success and establishing benchmarks for coding excellence within the team.
Initiated and led the development of 3 proprietary software solutions, enhancing the efficiency of shipment delivery and directly contributing to a 20% improvement in operational throughput and customer satisfaction metrics.
Thermo Fisher Scientific Inc. San Jose, CA, US
PM / SDE II (Full-stack Developer) in Mass Spectrometry R&D Division Aug 2021 - Now
Designed user stories and features for implementation, organized team meetings and project documentations in Git.
Improved UI/UX of mass spectrometry experiment design using Vue3 and Typescript.
Defined product metrics and saved user operations in MongoDB using a .Net Restful API to enhance user experience.
Futurewei Technology Inc. Framingham, MA, US
Research Intern (Software Engineer) in Technology Planning Division June 2020 - Sep 2020
Collaborated a cross funding team and unblock the challenges of the project.
Developed an energy-driven system to intelligently filter and upload data with AI/ML models, optimizing data transferring and battery usage.
Achieved 2 patents in 10 weeks. Coordinated with multi-disciplinary experts and managed weekly group meetings to prioritize tasks, unblock progress, and meet milestones.
DartNets Lab, Computer Science Department at Dartmouth Hanover, NH, US
PM / Research Assistant Sep 2019 - Dec 2020
Implemented a mobile app (Java, Android, SQL) that tracks users’ behavioral data, synced local database with cloud server for data persistence, achieving 95% retention rate in a year-long study.
Performed statistical analysis and time-series machine learning (Jupyter, sklearn, tensorflow) to assess mental health among 200 students from their sensor data with an accuracy of 73%.
Published 3 academic papers in top CS conferences and highly impacted journals, achieved 700+ citations.
Collecting Photoplethysmogram (PPG) data and predicting stress status from it. Implemented a data collecting platform using Android, Flask and MongoDB. Collected real-time PPG from an Android smart watch. Applied bandpass signal processing (Python) and Deep Neural Network (Keras, Tensorfolw) on the PPG data. Achieved an accuracy of 75% in classifying stress status.
Smartphone sensing and health. Developed backend pipelines (bash, python, MongoDB) to process the longitudinal activities, location, collocation networks, phone usage and sleep data collected from mobile phones among 200 college students. Performed statistical and time series analysis (Jupyter, sklearn) to reveal the mental health and behavior changes [published on JMIR, 2020(6)] and a transition of social interaction from in-person to online with an accuracy of 73% during the COVID-19 Pandemic.
Improved social functioning impairment prediction by 20% on average using smartphone sensor data compared with a baseline without using it [published on CHI’20].
Center for Technology and Behavioral Health Lebanon, NH, US
Research Scholar Nov 2016 - Jun 2017
Modeled the ontology of self-regulation from EMA, MRI scanning, MTurker, sensors from smart devices. Automatically recorded and predicted patients' addictive behaviors instead of handwriting self-report [published on BRT, 2018(2)].
Designed momentary scale for self-regualtion and conducted pilot study for the patients with addiction issue. Verified the scale reliability and published results on JMIR,2022(5).
Shanghai Jiao Tong University Shanghai, China
Research Assistant Oct 2011 to Mar 2016
Reviewed 2,000+ health news reports to examine emergency communications and produce AP Style industry publications.
Led surveys of 500 citizens and 300 adolescents, plus 4 focus groups on public outreach and social media crises.
Collaborated with 20+ organizations on field research across 13 urban and rural regions in China.
Mar, 2025 Build Wireframes and Low-Fidelity Prototypes -- Coursera Course Certificate provided by Google
Feb, 2025 Start the UX Design Process: Empathize, Define, and Ideate -- Coursera Course Certificate provided by Google
Oct, 2024 Google Project Management Certificate -- 6 courses series completed on Coursera
Oct, 2024 Capstone: Applying Project Management in the Real World -- Coursera course Certificate provided by Google
Oct, 2024 Agile Project Management-- Coursera course Certificate provided by Google
Oct, 2024 Foundations of User Experience (UX) Design -- Coursera course Certificate provided by Google
Oct, 2024 Project Execution: Running The Project -- Coursera course Certificate provided by Google
Oct, 2024 Project Planning: Putting It All Together -- Coursera course Certificate provided by Google
Oct, 2024 Project Initiation: Starting a Successful Project -- Coursera course Certificate provided by Google
Mar, 2024 Foundations of Project Management -- Coursera course Certificate provided by Google
Dec, 2023 AWS Certified Machine Learning -- Specialty
Nov, 2023 AWS Cloud Practitioner
Sep 2019 - Jun 2021 Full Scholarship of Master program in Computer Science at Dartmouth College
Languages: Java, C#, C, C++, Python, JavaScript, Typescript, Shell, HTML, CSS, XML
Framework: React, Redux, Vue2/3, .Net5, StencilJS, NodeJs, Android
Tools: MySQL, MongoDB, AWS, Azure, GitHub, Jupyter, sk-learn, TensorFlow, PyTorch, Linux, Latex
Dartmouth Admissions Ambassador Program December, 2022 - Now
Admissions Ambassador for Undergraduate Admissions Interview
Journal of Medical Internet Research December 2021 - January 2022
Paper reviewer, Completed 7+ peer review for JMIR
Reading & Book Sharing Club for Women January 2021 - Now
Established a WeChat group for Book Sharing and Reading for 300+ women
Astrology & I Ching & Traditional Chinese Medicine
Gardening (Roses Growing)
Reading Club
Game blogger & Video blogger
Puzzel
Trips
Best chef in my home :P
Computer Science Courses at Dartmouth College:
Computer Science Related Projects at Dartmouth College:
Social Network Web Development(Django, JavaScript, CSS, HTML, Git, Fullstack) Dec 2019 - Jan 2020
Developed an Instagram-like web platform using Django. Users can sign-up, log-in/out, post pictures, follow and like others. Accomplished RESTful web service and deployed the system on Heroku.
Bioinformatics Project (Python, Biopython, PyMol) Sep 2019 - Nov 2019
Predicted protein contact maps using direct-coupling analysis (one Hidden Markov Model), GREMLIN (Markov Random Field, greedy algorithm) and RaptorX (deep learning: ResNet).
Machine Learning Implementation (Scipy, Numpy, Pandas, SKlearn) Sep 2019 - Nov 2019
Implemented Naive-Bayes, Decision Tree, Random Forest, KNN, K-means, Gradient descent optimization, and Neural Networks from scratch.
Security and Privacy (Linux) Sep 2019 - Nov 2019
Simulated attacks such as the 2018 Meltdown attack against an Intel CPU (X86) and 2014 Shellshock attack that took advantage of a serious vulnerability in the Bash shell.
ByeReceipt (Java, Android, SQL) May 2019 - Jun 2019
Developed an Android app that can automatically read receipts using OCR. It could accurately recognize, categorize and analyze your shopping habits without manually recording your daily expense.
MyRuns (Java, Android) Mar 2019 - Jun 2019
Developed an Android app that logs user running data and compares the data in leader-board. Accurately inferred users activity (e.g., walking running) from mobile sensors (e.g., GPS, accelerometers). Facilitated a local SQL database that consistently synced with Firebase cloud to enhance data persistence.
Tiny Search Engine(Linux, C programming, Shell, Network) Jul 2018 - Aug 2018
Accomplished a prototype of mini search engine with crawler, indexer, querier and page ranking algorithm in C.