2025 Simons Society of Fellows Alumni Symposium
Conference
When
-
All Day
Where
160 5th Ave
New York, NY 10010, United States
Agenda
Tuesday, September 30, 2025
| 8:30 AM | CHECK-IN & BREAKFAST |
| 9:30 AM | Logan Grosenick | Beyond the DSM: Making Psychiatry A Quantitative Science |
| 10:30 AM | BREAK |
| 11:00 AM | Michal Breker-Dekel | Systems Genetics of Microalgae for Innovation in Agriculture, Medicine, and Food Industries |
| 12:00 PM | LUNCH |
| 1:00 PM | Antigoni Polychroniadou | Building Trust at the Frontier: Privacy, Fairness, and Security in an AI-Driven Society |
| 2:00 PM | BREAK |
| 2:30 PM | Abigail Bodner | Climate Science in a Changing Climate |
| 3:30 PM | BREAK |
| 4:00 PM | Sheila Jasanoff | Science, Democracy, and Public Knowledge in America |
| 5:00 PM | MEETING CONCLUDES |
Abstracts & Slides
Logan Grosenick
Cornell University
Beyond the DSM: Making Psychiatry A Quantitative Science
Psychiatry is medicine’s last pre-mechanistic frontier. While oncologists select treatments based on tumor genetics, and cardiologists on physiology, psychiatrists still rely on symptom checklists and trial-and-error. The result is predictable: many patients fail first-line treatments, and broad diagnostic categories like “autism” and “depression” often create as much stigma as they do solutions. A central barrier to progress has been heterogeneity: patients with the same diagnosis can differ profoundly in biology, symptoms, and treatment response.
Our work has shown that reproducible biological subtypes of depression and autism exist and can predict clinical outcomes. To build on this, we are developing new AI frameworks that move beyond complex, opaque multistep pipelines. These models learn representations where clusters and dimensions can coexist and employ adaptive architectures that route data differently for each patient. By flexibly handling heterogeneity, these methods make it possible to exploit large-scale clinical datasets while preserving interpretability.
Together, these advances illustrate how computational and AI-based approaches can transform psychiatry into a quantitative, mechanistic science capable of revealing biology, predicting treatment response, and ultimately enabling more personalized, stigma-reducing, and effective care.
Michal Breker-Dekel
The Hebrew University of Jerusalem
Systems Genetics of Microalgae for Innovation in Agriculture, Medicine, and Food Industries
View Slides (PDF)
My lab develops high-throughput genomic and genetic approaches to dissect the molecular bases of complex biological interactions and fundamental plant cell biology problems, using Chlamydomonas reinhardtii as a powerful unicellular model. This allows us to bridge fundamental discovery with translational potential.
In the first part of my talk, I will present our work using C. reinhardtii to probe host–microbe dynamics. Integrating bacterial pathogenicity screens, forward genetics, and multi-omics, we uncover deeply conserved mechanisms of bacterial antagonism that shape immunity and symbiosis across plants and algae, offering broad insights into green lineage biology.
In the second part, I will introduce our novel multi-scaffold symbiotic co-culture platform, where microalgae and animal cells grow in close proximity to enable reciprocal nutrient exchange and metabolic cooperation. This versatile system supports diverse applications—from sustainable cultured meat production to regenerative medicine approaches such as chronic wound healing—demonstrating how engineered biological symbiosis can tackle pressing challenges in health, food security, and environmental sustainability.
Antigoni Polychroniadou
J.P. Morgan
Building Trust at the Frontier: Privacy, Fairness, and Security in an AI-Driven Society
View Slides (PDF)
Science and technology are transforming the way we interact, transact, and communicate—but their success depends not only on what they can do, but on whether society can trust them. In this talk, I will explore research directions that embed privacy, fairness, and accountability into the foundations of emerging AI and data systems. These include methods for protecting sensitive information, ensuring equitable outcomes, and enabling secure collaboration across domains. By examining these advances together, I will reflect on how we can shape technologies that not only push scientific boundaries, but also foster trust, safeguard rights, and serve the needs of our global community.
Abigail Bodner
Massachusetts Institute of Technology
Climate Science in a Changing Climate
View Slides (PDF)
Climate change poses a global challenge in a world often driven by local issues. Its impacts are distributed unevenly across regions, disproportionately affecting the most vulnerable communities. Among the Earth’s systems, the ocean plays a particularly central role in climate change, linking processes that span scales—from meter-scale mixing to planetary-scale circulation. Local phenomena, such as heat exchange in surface waters or shifts in regional currents, can influence global climate dynamics, while large-scale changes in temperature and circulation reverberate locally through rising seas, intensifying storms, and ecosystem shifts. In this talk, I will discuss how my work in physical oceanography explores these connections, with a particular focus on ocean turbulence. By combining observations, theory, simulations, and machine learning, we can investigate how small-scale dynamics make climate models more reliable and improve our understanding of future change. I will argue that bridging local and global perspectives is essential for advancing climate science, guiding adaptation strategies, and helping society meet the challenges of a rapidly changing world.
Sheila Jasanoff
Harvard University
Science, Democracy, and Public Knowledge in America
View Slides (PDF)
For more than 70 years, relations between science and society in America have oscillated between two idealized accounts: a fairytale version in which pure science sits above society and speaks truth to power; and a marriage of convenience that sees science primarily as a source of technological advances, economic growth, and social progress. Neither story does justice to science’s third role as a source of public knowledge for public action. Misunderstandings of this role, I will argue, are responsible for much of the current malaise gripping science in America. Based on decades of research on science for policy, I will offer a fuller understanding of science and American civic epistemology. Increasing citizens’ awareness of the need for public knowledge is an essential step in restoring science to its rightful place in American democracy.
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