Sandy Glickman
Sandy designs the company’s AI-powered forecasting engine and leads the team. He codes core features, builds partnerships, and sets Downstream’s strategic vision.
Previously, Sandy worked in the IMF Managing Director’s office, turning global signals into action, and led defense industrial base policy at the Aerospace Industries Association. He holds a degree from Tufts’ Fletcher School, with a focus on security and international economics.
Sandy enjoys mountain biking, backpacking, and piloting small aircraft.
Raffael Huberli
Raffael builds the brand, drives user engagement, and shapes how Downstream communicates global events. He draws on experience in international relations, communications, and startup marketing.
Previously, Raffael worked at Swissnex in San Francisco, guiding Swiss startups through Silicon Valley, and served as a press officer in the Swiss Army. He’s also worked as a journalist, honing his instinct for impactful stories. He’s currently pursuing a dual master’s in international affairs at St. Gallen and the Fletcher School.
Raffael is passionate about exploring new places and bridging ideas across cultures.
Rachel Leighton
Rachel combines her expertise in technology, algorithms, and geopolitics to build and improve the company’s forecasting models.
She holds a Master’s from Tufts’ Fletcher School, specializing in East Asian technology and international affairs, and a B.S. in Mathematics from MIT. At MIT, she researched computation theory and algorithms and spent a year in Seoul, becoming fluent in Korean and Japanese.
Rachel is an accomplished pianist and tennis player, having performed at Carnegie Hall and competed on the ITF pro circuit. She also brings years of experience teaching math, music, and tennis to young people.
How We Forecast
1. Event Signal
We ingest verified geopolitical, economic, and financial signals from curated global sources.
2. Context Mapping
Our AI models identify actors, locations, historical context, and cascading dependencies.
3. Scenario Modeling
We generate branching scenario trees — base, upside, and downside — for near- & long-term consequences.
4. Visual Forecast
Outputs include structured briefs, visual maps, and forward-looking consequence diagrams.
