Hunter is passionate about deploying technology innovation to establish synergy between the planet and humanity and a healthy environment for all. Before Terrafuse AI, Hunter worked at Ajax Strategies, where she invested in early-stage climate technology companies, seven of which have since exited including three public offerings. Hunter was inspired by these entrepreneurs to start Terrafuse AI. She also served on the philanthropy team at Energy Innovation, a multi-family office supporting nonprofits focused on designing regulatory incentives to deploy clean energy technologies. An example of this work included a massively successful campaign to phase out all coal plants in the US and replace them with clean energy. Prior to that, Hunter designed solutions for climate change adaptation and habitat restoration as an environmental engineer. Hunter studied business at The Wharton School and Environmental Science at UCLA.

Steve is a software engineer and physical scientist with over 20 years of experience and two successful exits. At Terrafuse, he manages the engineering team. Previously, he was an engineering executive for a geospatial intelligence startup with a SaaS photogrammetry product. In his prior role at The Weather Company (later acquired by IBM), he was in charge of the development of the systems behind several AI-based weather forecast products for the agriculture, solar, and wind energy markets, working extensively with data and meteorological scientists to bring products to market. Steve is an expert on weather data and building data management systems (he founded and led the Data Architecture group at WSI, later acquired by The Weather Company), for many weather data types serving industries including media, aviation, and energy. Steve holds an MS in Atmospheric Science from the University of Washington and a BA in Physics from Wesleyan. 

Jing is experienced with building physically-based climate system models. At Terrafuse, she works on developing end-to-end machine learning models for wildfire risk score prediction. She is passionate about bringing physics to machine learning techniques for climate science and leveraging these techniques to address the increasing risks of climate change. Jing holds a master's degree in Atmospheric Science and Computer Science from UC Davis.

Ashray primarily focuses on machine learning and computational mathematics and statistics, and loves to think about innovative solutions to complex problems in the field of climate science, such as the groundbreaking Terrafuse wind downscaling and forecasting models. Ashray worked on Snow, Wind, and Fire models, using advanced techniques in machine learning, statistics, and physics to create powerful models for the estimation, nowcasting, prediction, and analysis of relevant climate variables. He has published papers and given talks in several climate change conferences, and received the ‘Honorable Mention’ award at the NeurIPS 2019 Climate Change workshop. Ashray’s efforts in High Performance Computing achieved over a 200x improvement in compute efficiency when running the massive LFP fire model, allowing for fast iteration and validation of the previously intractable job. In his free time, Ashray likes to experiment with electronic systems, using his experience in engineering and physics and his skills in 3D printing and design to build complex systems such as speakers and drones. Ashray holds degrees in Computer Science and Applied Mathematics from UC Berkeley.

Jack Seagrist leads Product at Terrafuse, where he helps bring advanced climate intelligence solutions to life. Prior to Terrafuse, Jack was a Technology Consultant at Accenture Federal Services, where he built large-scale enterprise software systems that transformed some of the largest federal organizations and delivered breakthrough outcomes in medical research and agriculture. Jack has spent thousands of hours with customers listening, learning, and empathizing with the challenges they face. Jack has leveraged these skills to incorporate customer centricity into every element of product and design, working closely with our insurance partners to create the wildfire risk selection and mitigation potential product. Jack has also developed his ability to sell the product, creating sales collateral and managing the execution of pilot projects. Jack holds an M.S. in Environmental Engineering from Stanford University.
 
 

Jon began his career at Travelers Insurance working on their business intelligence GIS team, helping to create and provide accurate location data and applications to the broader business insurance organization at Travelers. He was the first ever graduate of the Business Intelligence and Geospatial Development Program in 2016. After his time at Travelers, Jon moved on to SpatialKey, a geospatial data and analytics startup. Working in roles in business development and sales, he helped get SpatialKey above $10m in recurring revenue, leading to the sale of the company to Insurity. At Insurity, he was brought on to the strategic accounts team in data and analytics, where he continued to sell geospatial data and analytics tools to the P&C insurance industry, as well as predictive analytics related to workers compensation and commercial auto. After remaining with Insurity for two years post-acquisition, Jon moved on to Unacast, a mobile location data company. There he grew their insurance product focus from the ground up, resulting in data sales and partnerships to top P&C insurance carriers. Jon joined Terrafuse to lead business development in 2023 and get Terrafuse data into the hands of as many insurers as possible!