Research & Academic
Core research experience and academic achievements
May 2022 – Present
Research Scientist
Johns Hopkins University • Geography and Environmental Engineering
- Model performance: Achieved 50-point R² improvement using geostatistical inverse modeling on HPC systems
- Time-series analysis: Detected 1-month seasonal timing bias in methane emissions with Pandas and NumPy
- Computational optimization: Reduced matrix computation time by 60% via vectorized sparse linear algebra in MATLAB
Python
MATLAB
Pandas
NumPy
Inverse Modeling
HPC
2022 – 2023
Master of Health Science (MHS)
Johns Hopkins Bloomberg School of Public Health • Environmental Health and Engineering
- Degree: Master of Health Science (MHS) in Environmental Health and Engineering
- 4.0/4.0 GPA: Perfect academic record
- Award: Master's Outstanding Essay Award (only department-wide recipient)
- Research focus: U.S. oil & gas emissions analysis using NOAA observations
- Key finding: Current inventories underestimate emissions by factor of 3
- Time-series analysis: Temporal pattern identification and validation
- Statistical diagnostics: Uncertainty characterization and evaluation
- Reproducible workflows: R-based analysis pipelines
R
Time Series
Data Analysis
Uncertainty
Emissions Analytics
2022
Research Data Analyst
University of Florida • Epidemiology & Health Analytics
- Epidemiological analysis: Medical marijuana use among HIV patients
- Data protocol design: Standardized collection, improved quality
- Cross-departmental collaboration: Faculty and Ph.D. researchers
- R & Python: Statistical evaluation and analysis
Epidemiology
Health Analytics
R
Python
2021 – 2022
Research Assistant
George Washington University • School of Business
- Climate risk analysis: REIT cost of capital and financial modeling
- SEC data extraction: Property-level financial and operational data
- Quantitative risk assessment: Climate exposure → financing costs
- Real-world applications: Climate science + financial modeling
Climate Risk
Financial Modeling
R
Data Analysis
Jan 2021 – Aug 2021
Medical Research Assistant
Peking Union Medical College Hospital
- Clinical risk stratification: Discovered prolactin-associated pneumothorax risk via Random Forest classification
- Data quality: Enhanced data reliability with 40% reduction in anomalous values through z-score normalization
- Dimensionality reduction: Achieved 80%+ feature reduction using PCA while preserving 70%+ variance
Random Forest
PCA
Clinical Research
Statistical Analysis
2018 – 2022
Bachelor of Science, Business Analytics (STEM)
George Washington University • School of Business
- Core curriculum: Machine Learning, Deep Learning, Neural Networks, Artificial Intelligence
- ML frameworks: Scikit-learn, TensorFlow, Keras, PyTorch fundamentals
- Neural networks: Feedforward, CNN, RNN, LSTM architectures
- AI applications: Natural Language Processing, Computer Vision basics, Predictive Analytics
- Statistical foundations: Regression, Classification, Clustering, Ensemble Methods
- Business applications: Applied ML to real-world business problems and case studies
- GPA: 3.84/4.0 (Major GPA)
Machine Learning
Deep Learning
Neural Networks
Artificial Intelligence
TensorFlow
Keras
PyTorch
Scikit-learn
2025
CS50: Introduction to Computer Science
Harvard University • edX
- Comprehensive CS fundamentals: Algorithms, data structures, computer science principles
- Programming languages: C, Python, SQL, JavaScript, HTML, CSS
- Core topics: Memory management, pointers, recursion, algorithmic thinking
- Web development: Flask, APIs, databases, front-end and back-end development
- Problem-solving: Weekly problem sets and projects applying CS concepts
- Rigorous curriculum: Harvard's introductory computer science course
C
Algorithms
Data Structures
Computer Science
Web Development
Industry Experience
Applied data science and analytics in professional settings
Jan 2022 – May 2022
Business Analytics Consultant
FI Consulting (Practicum) • Washington, DC
- Risk quantification: Quantified a 20% increase in closure likelihood associated with enrollment decline via logistic regression modeling
- Model improvement: Improved risk prediction accuracy by 15% over baseline models by applying a Support Vector Machine classifier
- Stakeholder engagement: Presented strategic risk insights to senior stakeholders via decision-focused visualizations and earned 90% approval
Machine Learning
Logistic Regression
SVM
Risk Assessment
Data Visualization
Sep 2020 – Jan 2021
Strategy & Public Affairs Intern
Philip Morris International • Beijing, China
- Market entry planning: Accelerated IQOS market entry planning by distilling 1,000+ pages of dossiers into a rapid-decision risk framework
- Regulatory mitigation: Mitigated regulatory headwinds in China by coordinating public relations strategies with government stakeholders
- ESG mobilization: Mobilized 100+ employees for a nationwide ESG campaign and contributed to PMI's 50% plastic reduction goal
Corporate Strategy
ESG & Sustainability
Crisis Management
Organizational Design
Projects
Technical projects and entrepreneurial initiatives
2026 – Present
TennisMigos | Founder & Lead Developer
iOS Mobile Application
- Full-stack development: Built and deployed a native iOS app in Swift integrating Supabase (PostgreSQL + Auth) for backend services
- API integration: Implemented asynchronous Gemini API calls to support real-time user interactions, bookings, and profile matching
- Product lifecycle: Delivered a production-ready mobile app and managed the full product lifecycle from design to App Store launch
Swift
iOS Development
Supabase
PostgreSQL
API Integration
Product Management
Leadership & Athletics
Coaching, mentorship, and competitive excellence
2025 – Present
Assistant Men's Tennis Coach
Johns Hopkins University
- Team development: Supporting collegiate athletes at top-tier institution
- Technical coaching: Match strategy, skill development, team culture
- Mentorship: Student-athlete development and leadership
- Balance: Maintaining research excellence alongside coaching
2025 – Present
Tour Coach — ATP Professional Tennis
ATP Tour
- ATP 1000 achievement: Coached Mark Wallner (Germany) to Shanghai Masters Quarterfinals (2025)
- Elite performance: Victory over 2024 Olympic Champion
- High-stakes execution: World's top tournaments, strategic match preparation
- Professional credibility: Coaching ATP-ranked professionals
2018 – 2025
NCAA Division I Student-Athlete
George Washington University and Johns Hopkins University
- Academic-athletic balance: Maintained full-time academics alongside Division I athletics through effective time management
- National recognition: Top 25 national ranking with 4.0/4.0 GPA; Outstanding Master's Essay Award (2023)
- Leadership: Academic All-American selection; assistant coach for men's tennis team
2024
Mentor — WISE Climate & Data Science Program
Johns Hopkins Whiting School of Engineering
- Mentored 2 high school students on data-driven climate policy evaluation
- Science communication: Featured interview (WebsEdgeScience)
- Policy translation: Technical analysis → non-technical insights
- Iterative coaching: Draft → feedback → revise → present workflow
2021 – Present
Educational Media Brand | Founder & Content Strategist
Xiaohongshu & Bilibili • Educational Content
- Content production: Generated 300,000+ views by producing weekly-to-monthly videos on tennis techniques and NCAA recruitment
- Community building: Organized private advisory communities to guide parents through NCAA regulations and achieved 7,080 followers
- Analytics optimization: Analyzed audience retention metrics to optimize content strategy and boosted engagement (likes & saves) by 60%
Content Strategy
Data Analytics
Community Building
Educational Media
2022
Mathematics Tutor
District of Columbia Public Schools (DCPS)
- Customized instruction: Weekly math lessons for 4 middle school students
- Measurable impact: Average grade improvement of ~10%
- Teaching methodology: Problem-solving skills, mathematical confidence, study habits
- Communication: Tailored instruction to individual learning needs
Education
Mentorship
Communication
2021 – 2022
Vice President
GW International Students Association
- Leadership: Led 20+ member executive and operations team
- Cross-functional collaboration: Coordinated with university administrators and 20+ external groups
- Event management: Large-scale events, cultural programs, networking initiatives
- Budget & fundraising: Contributed to $1,000+ in program funding
- Community impact: Increased student engagement and visibility
Leadership
Project Management
Team Management
2018 – 2021
NCAA Division I Student-Athlete
George Washington University
- Division I competition: Highest UTR 12.0 Singles, 13.0 Doubles
- Academic excellence: 3.84/4.0 Major GPA while competing at Division I level
- Time management: 17+ hours/week training with full academic course load
- Travel management: Intensive spring season schedules, weekend matches
- Team recognition: ITA All-Academic Team Award
Division I Athletics
Time Management
Academic Excellence
Technical Skills
Production-ready skills for Big Tech roles. Comprehensive technical capabilities across programming languages, ML methods, data engineering, and mobile development.
Machine Learning & Statistics
Machine Learning
Supervised Learning
Unsupervised Learning
Bayesian Inference
Uncertainty Quantification
Statistical Modeling
Optimization
Ensemble Methods
Cross-Validation
Feature Engineering
Deep Learning & Neural Networks
Deep Learning
Neural Networks
Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN)
LSTM
Feedforward Networks
Backpropagation
TensorFlow
Keras
PyTorch
Artificial Intelligence
Artificial Intelligence
Natural Language Processing (NLP)
Computer Vision
Predictive Analytics
Pattern Recognition
Model Training & Evaluation
Hyperparameter Tuning
Programming Languages
Python
R
MATLAB
Java
C/C++
SQL
JavaScript
HTML/CSS
Swift
Bash/Shell
Data & Databases
SQL
PostgreSQL
Supabase
Data Warehousing
ETL Pipelines
Data Cleaning
Large-Scale Data
Data Engineering & Infrastructure
HPC Workflows
Reproducible Research
Data Pipelines
Version Control (Git)
CI/CD
Docker
Linux/Unix
Scientific Computing & ML Libraries
NumPy
Pandas
SciPy
Scikit-learn
TensorFlow
Keras
PyTorch
Matplotlib
Plotly
Seaborn
Jupyter
Mobile & Development
Swift
iOS Development
Xcode
Mobile UI/UX
App Development
Tools & Platforms
Git/GitHub
Jupyter Notebooks
VS Code
LaTeX
Markdown
Flask
Slurm
AWS (Basic)
Interested in Working Together?
Open to opportunities in Applied Scientist, Research Engineer, and Data Scientist roles.