Meet The Team
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Our Clients
Renewable Energy
In the realm of renewable energy, we apply scientific synthesis to support the development and optimization of wind and solar energy projects. From assessing potential sites to analyzing resource availability, we empower clients to make informed decisions and maximize the efficiency of their sustainable energy initiatives.
Aviation
In collaboration with the aviation industry, our scientific synthesis approach enables us to analyze complex weather patterns and their impact on flight operations. By integrating meteorological data and modeling, we help airlines and aviation authorities enhance safety, minimize disruptions, and improve operational efficiency.
Agriculture
The agricultural sector also benefits from our scientific synthesis methodology. We leverage cutting-edge techniques and models to analyze climate risks, optimize irrigation and fertilization practices, and develop sustainable land management strategies. By harnessing the power of scientific synthesis, we assist farmers in making data-driven decisions that increase productivity while minimizing environmental impact.
Coastal Engineering
Ports and coastal areas require careful consideration of environmental factors. Through comprehensive environmental impact assessments and the synthesis of diverse data sources, we provide port operators with the tools to minimize their ecological footprint and implement sustainable practices.
Weather Modification
Furthermore, our expertise extends to weather modification techniques. By combining knowledge from meteorology, cloud physics, and advanced modeling, we assist clients in making informed decisions about cloud seeding and precipitation enhancement, fostering water resource management and mitigating drought impacts.
Infrastructure Projects
We support infrastructure development with climate-informed assessments that enhance resilience and sustainability. Our climate analytics help future-proof projects against extreme weather, regulatory risks, and long-term climate change.
Smart Cities &
Weather Tech
We enable real-time monitoring, urban forecasting, and microclimate modeling for city planners and tech providers. From deploying sensors to developing urban-scale forecasts, we help shape responsive and sustainable urban environments.
Government & Policy
We advise government agencies and international organizations on climate risk, adaptation planning, and sustainability strategy. Our data-driven insights support evidence-based policy, National Adaptation Plans (NAPs), and international climate commitments.
Insurance & Financial Services
We partner with insurers, reinsurers, and climate risk platforms to quantify exposure to climate hazards. Using probabilistic modeling and return period analysis, we help assess future climate-linked liabilities and improve climate disclosures.
Our Services
Explore our range of advanced climate modeling services tailored to provide decision support for your business. Our team of experts utilizes cutting-edge technology to analyze data and offer strategic insights to help you make informed choices.
Advanced Climate Modeling for Decision Support
Scisynth delivers advanced climate modeling, future projections, and high-resolution downscaling to transform complex climate science into actionable, location-specific intelligence. We provide future climate scenarios tailored for cities, sectors, and infrastructure projects — empowering smarter planning, resilience strategies, and sustainable development aligned with Vision 2030 goals.
Digital Platforms for Environmental Intelligence
Our team designs interactive platforms, dashboards, and monitoring systems that translate scientific data into clear, actionable information. We enable faster, evidence-based decision-making for climate resilience, environmental management, and urban planning.
AI and Machine Learning for Climate Analytics
Scisynth leverages AI and machine learning to enhance forecasting, automate climate data analysis, and detect early warning signals. Our intelligent analytics systems empower faster, deeper, and more scalable insights for risk management, planning, and decision support.
High-Performance Computing for Environmental Modeling
Powering large-scale simulations and real-time climate intelligence.
We deploy scalable, high-performance computing (HPC) and cloud-native systems to support data-intensive environmental modeling and forecasting. Our infrastructure ensures rapid, reliable delivery of simulations, projections, and actionable insights across sectors.
Climate Risk Assessment and Resilience Planning
Scisynth provides integrated climate risk analytics and impact assessments tailored to sector-specific needs. We help organizations understand exposure, assess vulnerabilities, and build strategies for resilient and sustainable growth.
Urban Climate Solutions and Smart City Adaptation
We provide tailored climate projections, urban heat mitigation strategies, and resilience frameworks for smart city initiatives. Our solutions support urban planners and municipalities in designing livable, sustainable, and future-ready environments.
Overview
Scisynth is developing an integrated satellite- and AI-based system to detect early signs of pest and disease stress in Saudi Arabia’s date palm plantations. The solution combines sub-meter SAR imagery with multispectral and thermal data to enable continuous, cloud-independent monitoring of individual trees.
What We're Doing
Using AI-powered models and multi-source satellite inputs, we assess structural, spectral, and thermal anomalies linked to Red Palm Weevil infestation. Our system leverages geospatial machine learning, weather data, and crop lifecycle analysis to predict outbreaks and guide timely interventions.
Goal
To enable precise, early detection of pest and disease threats, reduce crop loss, and support sustainable, cost-effective agricultural management at scale.
Projects & Case Studies
Satellite-Based AI Monitoring of Date Palm Health
Status: Ongoing
Projects & Case Studies
Convective Boundary Layer & Aviation Safety
Overview
We are currently working on an in-depth assessment of how convective boundary layer phenomena—especially dust devils—impact aviation safety in arid regions. These small-scale vortices, often overlooked in conventional aviation planning, pose critical low-altitude risks during takeoff, landing, and taxiing.
What We're Doing
The project involves evaluating current weather monitoring systems, analyzing historical incidents, modeling dust devil dynamics using high-resolution LES, and studying pilot perceptions and aircraft interactions. We're also exploring forecasting tool development and assessing the influence of climate change on future risk profiles.
Goal
To develop science-based insights and tools that inform regulatory guidance, enhance pilot training, and support operational safety in vulnerable airport environments.
Our Scientists
Dr. Udaya Bhaskar Gunturu
Atmospheric and climate scientist with a Ph.D. from MIT, specializing in aerosol-cloud
interactions, wind energy modeling, and environmental systems. A pioneer in numerical model development with extensive leadership experience across academia and industry.
Dr. Jerry Raj
Climate scientist with expertise in regional climate change and its implications across
sectors. She holds a Sustainability and Climate Risk (SCR®) certification, underscoring her commitment to bridging scientific research with practical risk assessment and resilience strategies.
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Dr. Willow Hallgren
A CSIRO Research Scientist with a Ph.D. in Atmospheric Science, she excels in climate change risk and impact assessment for ecosystems and agriculture. Her contributions include developing the Biodiversity and Climate Change Virtual Laboratory (BCCVL), significantly impacting Australian and international climate research.
Tuan Phan
Meteorologist with years of operational forecasting experience at the Australian Bureau of Meteorology, UAE's National Center of Meteorology, and Saudi Arabia. He supported aviation forecasting, rain enhancement, and national weather services. Brings deep practical expertise in real-time monitoring and forecast delivery.
Scientific Advisors and Collaborators
At Scisynth, we engage leading scientists and researchers from globally recognized institutions to support specialized projects and enhance the scientific rigor of our solutions.
These collaborations ensure that our work remains at the forefront of climate and environmental science, drawing from the latest research and technical expertise.
Expertise: Atmospheric physics and chemistry, aerosols-cloud interactions, and climate dynamics.
Prof. Chien Wang
Scientific Collaborator
Massachusetts Institute of Technology (MIT)
Expertise: Air pollution, Remote sensing, Climate Change, provides specialized scientific input and advisory support on select Scisynth projects.
Scientific Collaborator
China University of Mining and Technology