Who We Are
GeoGizmodo was founded to use modeling, AI, and ML to build innovative solutions with lasting impact; guided by a mission to enhance societal welfare, safety for all, and environmental health. We are industry and agency agnostic, leveraging insights from experts to push the boundaries of technology.
Aneesh Hariharan
Title: Owner and Founder, GeoGizmodo LLC
It all began with a simple idea in October 2024. Whether you're dreaming of launching a business, transforming a passion into something larger, or sharing a creative project with the world, sometimes all you need is time and determination.
Education: MS Applied Math, UW Seattle and MS Math and Stat, Auburn University
Achievements: One granted patent and three patent-pending applications
Current role: Technical instructor at AWS a teaching ML and GenAI courses. As of Jan 2025, teaching at Amazon Cloud Institute (ACI).
Key Personnel
Dr. Aditya Khanna (Scientific consultant)
Title: Associate Professor of Behavioral and Social Sciences, Brown University School of Public Health
Expertise: Computational social scientist specializing in modeling biobehavioral health systems to inform policy initiatives to achieve health equity. Uses network analysis, agent-based modeling and predictive analytics focusing on HIV prevention, substance use behaviors, incarceration, breast cancer screening, and COVID-19.
Education: Ph.D. in Quantitative Ecology and M.S. in Statistics from University of Washington
Current work: Leading modeling efforts for Getting to Zero HIV Elimination initiative in Illinois, partnering with health departments in Los Angeles and Houston
Dr. Kathryn Lindsey (Scientific consultant)
Title: Associate Professor, Department of Mathematics, Boston College
Office: 567 Maloney Hall, Boston College
Expertise: Mathematical foundations of deep learning theory and dynamical systems with connections to geometry/topology. Her research investigates the geometric foundations of deep learning theory, focusing on feedforward ReLU neural networks and finitely piecewise linear functions. Also specializes in topological entropy and Thurston sets in dynamical systems.
Key Research Areas:
- Mathematical foundations of deep learning theory
- Dynamical systems with connections to geometry/topology
- ReLU neural networks and functional dimension
- Topological entropy and complex dynamical systems
Notable Work: Co-authored research on "Hidden symmetries of ReLU neural networks" and "Functional dimension and moduli spaces of ReLU neural networks." Has published extensively on Julia sets, polynomial dynamics, and mathematical modeling.
Email: lindseka at bc dot edu
Alex Zare
Title: Amazon Cloud Institute Graduate & Cloud Solutions Expert
Background: Transitioning from Project Leadership to Cloud Innovation. After 7+ years successfully delivering complex, multimillion-dollar projects in construction and healthcare, now channeling passion for problem-solving into cloud technology and full stack development.
Education: AWS Cloud Institute program (graduating September 2025)
Expertise:
- AWS architecture and infrastructure as code (IaC)
- Complex project management from conception to delivery
- DevOps, cloud automation, and secure solution design
- Serverless computing, CI/CD pipelines, and scalable cloud architectures
Experience: Strong foundation in stakeholder management and system optimization, combined with cutting-edge cloud solutions and real-world application through labs, capstone projects, and personal cloud applications.
Daniel Sheeler (Scientific consultant)
Education: MS in Computer Science and BA in Physics from The University of Chicago
Experience: Over twenty years of software development experience.
Background: Often working in academic settings, involved in numerically modeling supernovas on massively parallel distributed computing systems. Contributed to Linux kernel device drivers in a lab studying song birds, many open source Linux Audio projects, and written C++ and Python in support of public health intervention simulations. Most recently worked as a full-stack developer.