Curriculum Vitae

🌍 Data Scientist | AI & Network Analyst | ESG & Health Researcher

Bio

I am a data scientist and researcher specializing in AI, network science, and spatial analysis to drive insights in human behavior and decision making, with expertise in sustainability, health, supply networks, and ESG decision-making. With a Ph.D. in Interdisciplinary Ecology, I integrate machine learning, NLP, and predictive modeling to uncover patterns in business, health, and environmental systems.

I bring a deep understanding of research design and AI algorithms, making strategic choices in clustering, decision trees, and dataset integration from a social and environmental perspective. My career has focused on integrating diverse datasets to build robust, ethical, and meaningful AI-driven insights.

Key Contributions:

✔ Developed AI-driven solutions for sustainability, health, and wellbeing
✔ Led ESG data analytics & predictive modeling for corporate & nonprofit sectors
✔ Applied NLP & network science to analyze human behavior and decision-making
✔ Secured $1M+ in research funding from NASA, NSF, and corporate foundations
✔ Designed research methodologies & decision science frameworks
✔ Published 30+ peer-reviewed articles & delivered 50+ presentations

Let’s connect if you're interested in data-driven solutions for ESG, health, or AI-powered research. 🚀

Experience (Highlights of Key Roles)

Founder & Data Science Consultant | Sustainable Systems Lab (2021–Present)

• Developed AI-driven health & wellbeing analytics
• Applied network analysis & predictive modeling to enhance supply chain resilience & public health
• Led workshops on health, wellbeing, and sustainability strategies

Research Associate Professor | NYU Stern School of Business (2020–2021)

• Led ESG data assurance projects & predictive modeling on financial returns of sustainability initiatives
• Developed a SQL-based ESG & health database

Senior Scholar & Marine Theme Leader | Stockholm Resilience Center (2014–2017)

• Conducted network & spatial analysis of environmental and health resilience
• Applied machine learning & NLP to sustainability research

Assistant Professor | East Carolina University (2010–2014)

• Designed & taught courses on research design, health, and sustainability
• Integrated machine learning & NLP for environmental data analysis

Key Skills & Tools:

✔ Data Science & AI: Python, R, SQL, Jupyter, TensorFlow
✔ Spatial & Network Analysis: ArcGIS, UCINET, Pajek, QGIS
✔ Research & Decision Science: Experimental design, multivariate analysis, clustering
✔ Text & Behavioral Analysis: NLP, sentiment analysis, AutoMap
✔ ESG & Impact Assessment: Sustainability analytics, wellbeing data, surveys
✔ Data Visualization & BI: Tableau, Adobe Illustrator

Education & Certifications

🎓 Ph.D. & M.S. in Interdisciplinary Ecology | University of Florida
🎓 B.S. in Biochemistry | SUNY Stony Brook
🛰 NASA Fellow | Fulbright Scholar

Publications, Speaking Engagements, Reviews, and Grants

📖 30+ peer-reviewed publications on sustainability, health sciences, and AI
🎤 50+ international presentations on ESG, AI-driven health research, and network analysis

         Reviewer for NASA, NSF, Norwegian Research Council, and several journals