Featured Projects
Beer Sheva Innovation District Analysis
Developed urban simulation models and interactive 3D visualizations for optimizing infrastructure planning, serving 50,000+ users of the Beer Sheva Innovation District.
PythonReactJavaScriptdeck.glETL
View ProjectUrban Vitality Laboratory Research
Built ETL pipeline and supervised learning models for analyzing geospatial, physiological, and digital usage data in smart city environments.
Scikit-LearnData ScienceSQLGeospatial Analytics
View ProjectOptimal Transport Neural Network
Implemented an Input Convex Neural Network for probability density mapping, contributing to research presented at NeurIPS 2023.
PyTorchPythonNeural NetworksMathematics
View ProjectNYC Workforce Development Analytics
Led analysis of municipal spending data and stakeholder surveys to create a comprehensive 4-year fiscal plan for over $300M in federal funds.
PandasSQLData AnalysisPolicy ResearchSurvey Analytics
View ProjectExperience
Geospatial Data Scientist
Negev Urban Research (MIT City Science Lab)
July 2024 - Present
- Developing urban simulation models for infrastructure planning optimization
- Building ETL pipelines for urban mobility data analysis
- Creating interactive 3D visualizations using React and deck.gl
Teaching Assistant
Hebrew University of Jerusalem
October 2024 - Present
- Teaching spatial statistics exercises to MA students in the Smart Cities & Urban Informatics program
- Covering advanced topics including spatial autocorrelation, spatial autoregressive models (SAR), and spatial error models (SEM)
- Providing hands-on guidance in Python to implement spatial analysis techniques and statistical modeling
Research Scientist
Hebrew University of Jerusalem
January 2024 - July 2024
- Designed ETL pipelines for geospatial, physiological, and digital usage data collected by studies in the Urban Vitality Laboratory
- Developed machine learning classification model for physiological data
- Collaborated with an international team of scholars from the Hebrew University of Jerusalem, Sorbonne University, and the University of Salzburg to analyze the spatial components of stress in urban environments
Machine Learning Research Assistant
Polymath Jr. (NSF REU)
June 2022 - August 2022
- Coauthored paper on generative flow for conditional sampling via optimal transport, presented at NeurIPS 2023
- Built Input Convex Neural Networks using PyTorch with custom loss function to provide current state of the art results for distribution mapping
- Implemented novel optimization algorithms for probability density mapping
Communications and Data Analysis Intern
NYC Mayor's Office of Workforce Development
September 2021 - May 2022
- Managed cross-departmental project to create data-driven insights for a 4-year fiscal plan to spend $300M+ federal funds
- Analyzed workforce development spending data for regulatory compliance that were submitted to the New York State Department of Labor
- Conducted and analyzed policy surveys to inform municipal and state policy, which were successfully used to obtain a spending cap waiver from the US Department of Labor
Education
Hebrew University of Jerusalem
MA in Smart Cities and Urban Informatics
Class of 2024
Fulbright ScholarGPA: 96/100
Macaulay Honors College at Baruch College
BS in Mathematics
Class of 2022
GPA: 3.98/4.0Summa Cum LaudePortz Interdisciplinary Research Fellow
Skills
PythonJavaScriptSQLMLData VizETLGISSpatial AnalyticsRemote SensingGitDockerReactPyTorchGeopandasPandasScikit-LearnHugging FaceFlaskNext.jsTailwindPostgreSQLPostGISQGIS