CV
Curriculum Vitae
Data scientist and computer science graduate student with research and product experience across machine learning, healthcare data, and scientific computing.
Contact
- Email: ying6.zhou@gmail.com
- LinkedIn: www.linkedin.com/in/yzhou09
Summary
Data Scientist | Computer Science Graduate Student | Ph.D. in Nanomaterials | Bridging Advanced Analytics with Real-World Impact
Data scientist with a Ph.D. research foundation in nanomaterials and smart textiles, hands-on experience in machine learning, analytics, and web product development, and current graduate training in computer science. I build applied data tools across healthcare data, community information products, forecasting, and scientific computing.
Education
- M.S. in Computer Science, Georgia Institute of Technology, August 2025 - July 2027
- Diploma in Data Science, BrainStation, July 2024 - October 2024
- Ph.D. in Fiber and Polymer Science, North Carolina State University, 2016 - 2021
- M.S. in Textile Materials Engineering, Donghua University, 2013 - 2016
- B.S. in Textile Sciences and Engineering, Wuhan Textile University, 2009 - 2013
Work Experience
MimiLoom — Founder and AI Product Builder
Dates: April 2026 - Present
Location: New Jersey, United States
Built AI-powered products and applied machine learning systems across personalized storytelling, healthcare interfaces, and community information platforms.
Designed multimodal AI workflows integrating LLMs, structured data pipelines, image generation systems, and interactive web applications.
Built EdisonMom, a mobile-first local discovery platform for Chinese-speaking families in New Jersey with curated events, activities, and community resources.
Developed an ECG monitoring demo with real-time waveform replay, clinician and patient interaction modes, and AI-assisted health explanation interfaces.
Applied Python, JavaScript, SQL, and modern AI tooling to deliver deployable, user-centered products end to end.
Independent Developer
Dates: August 2025 - March 2026
Location: New Jersey, United States
Designed and developed responsive websites and full-stack web applications using JavaScript, Python, HTML/CSS, and database-driven architectures.
Built a photography portfolio website with a mobile-first design approach focused on visual presentation and user experience.
Developed a movie discovery platform with frontend-backend integration, API-driven content workflows, and dynamic user interfaces.
Implemented interactive UI components, routing systems, and modern web deployment workflows across multiple personal projects.
Freelance Data Scientist
Dates: October 2024 - July 2025
Location: New Jersey, United States
Developed predictive models, data analysis workflows, and visualization tools across healthcare, finance, and trend forecasting projects.
Applied Python, SQL, statistical modeling, and data visualization techniques to transform raw datasets into actionable insights and decision-support tools.
Built interactive dashboards and analytical workflows for exploring temporal patterns, user behavior, and forecasting scenarios.
Technical Skills
- Data Science & Development: Python, SQL, Git, Pandas, NumPy, scikit-learn, TensorFlow, JavaScript, HTML/CSS
- Data Visualization: Tableau, Matplotlib, Seaborn, interactive dashboards, web-based storytelling
- Machine Learning: classification, forecasting, time-series analysis, feature engineering, model evaluation
- Product Areas: healthcare data, community web tools, personal finance workflows, scientific computing
- Design & Simulation: Photoshop, 3D Max, HFSS (Antenna Simulation)
- Advanced Printing & Nanofabrication: Inkjet printing, screen printing, spin coating, plasma processes
- Material Characterization: TGA, XRD, Raman spectroscopy, SEM, TEM, AFM
Selected Projects
- EdisonMom / Edison Chinese Family Life Guide: Mobile-first Chinese-language local guide for Edison, NJ families, covering schools, activities, food, services, events, and relocation resources.
- Real-time ECG Monitor: Interactive ECG web demo with signal replay, heart-rate metrics, HRV, risk-state visualization, and patient/clinician explanation modes.
- Baby Name Trend Forecasting (App / Repository): Data science capstone analyzing U.S. baby-name trends from 1952 to 2023 with machine learning, time-series forecasting, and cultural influence features.
- MoneyApp: Personal finance import and categorization workflow for turning transaction records into clearer spending analysis.
Certifications
- Data Science Diploma
- Programming for Data Science with Python
Publications
Design of Quasi-Endfire Spoof Surface Plasmon Polariton Leaky-Wave Textile Wearable Antennas
IEEE ACCESS, 2022 | DOI: 10.1109/ACCESS.2022.3218217
Contributors: Yuhao Wu, Saber Soltani, Busra Sennik, Ying Zhou, Galestan Mackertich-Sengerdy, Eric B. Whiting, Douglas H. Werner, Jesse S. JurInterconnected cathode-electrolyte double-layer enabling continuous Li-ion conduction throughout solid-state Li-S battery
Energy Storage Materials, 2022 | DOI: 10.1016/j.ensm.2021.10.014
Contributors: Chaoyi Yan, Ying Zhou, Hui Cheng, Raphael Orenstein, Pei Zhu, Ozkan Yildiz, Philip Bradford, Jesse Jur, Nianqiang Wu, Mahmut DiricanTextile‐Integrated Liquid Metal Electrodes for Electrophysiological Monitoring
Advanced Healthcare Materials, 2022 | DOI: 10.1002/adhm.202200745
Contributors: Braden M. Li, Brandon L. Reese, Katherine Ingram, Mary E. Huddleston, Meghan Jenkins, Allison Zaets, Matthew Reuter, Matthew W. Grogg, M. Tyler Nelson, Ying ZhouAirbrushed PVDF–TrFE Fibrous Sensors for E-Textiles
ACS Applied Electronic Materials, 2021 | DOI: 10.1021/acsaelm.1c00802
Contributors: Braden M. Li, Beomjun Ju, Ying Zhou, Caitlin G. Knowles, Zoë Rosenberg, Tashana J. Flewwellin, Furkan Kose, Jesse S. JurMicrostructures in All-Inkjet-Printed Textile Capacitors with Bilayer Interfaces of Polymer Dielectrics and Metal–Organic Decomposition Silver Electrodes
ACS Applied Materials & Interfaces, 2021 | DOI: 10.1021/acsami.1c01827
Contributors: Inhwan Kim, Beomjun Ju, Ying Zhou, Braden M. Li, Jesse S. JurEfficient sub-15 nm cubic-phase core/shell upconversion nanoparticles as reporters for ensemble and single particle studies
Nanoscale, 2020 | DOI: 10.1039/D0NR02172E
Contributors: Meiling Tan, Melissa-Jane Monks, Dingxin Huang, Yongjun Meng, Xuewen Chen, Ying Zhou, Shuang-Fang Lim, Christian Würth, Ute Resch-Genger, Guanying ChenLow-Profile Strip-Loaded Textile Antenna with Enhanced Bandwidth and Isolation for Full-Duplex Wearable Applications
IEEE Transactions on Antennas and Propagation, 2020 | DOI: 10.1109/tap.2020.2989862
Contributor: Ying ZhouDirect-Write Spray Coating of a Full-Duplex Antenna for E-Textile Applications
Micromachines, 2020 | DOI: 10.3390/mi11121056
Contributors: Ying Zhou, Saber Soltani, Braden M. Li, Yuhao Wu, Inhwan Kim, Henry Soewardiman, Douglas H. Werner, Jesse S. JurKirigami‐Inspired Textile Electronics: K.I.T.E.
Advanced Materials Technologies, 2019 | DOI: 10.1002/admt.201900511
Contributor: Ying ZhouInkjet Process for Conductive Patterning on Textiles: Maintaining Inherent Stretchability and Breathability in Knit Structures
Advanced Functional Materials, 2019 | DOI: 10.1002/adfm.201807573
Contributors: Inhwan Kim, Hasan Shahariar, Wade F. Ingram, Ying Zhou, Jesse S. JurFluorescence-enhanced bio-detection platforms obtained through controlled “step-by-step” clustering of silver nanoparticles
Nanoscale, 2018 | DOI: 10.1039/c7nr07486g
Contributors: Panpan Liu, Ying Zhou, Min Guo, Shuguang Yang, Olivier Félix, David Martel, Yiping Qiu, Ying Ma, Gero Decher
Impact and Vision
My goal is to leverage data science to drive innovation and efficiency across industries such as materials science, healthcare, and technology, transforming raw data into actionable insights.