NYTT 2026 | Schrödinger with Dr. Abba Leffler
The New Era of Drug Discovery
Last Monday, a cohort of 17 student leaders and entrepreneurs from Princeton University gathered at Schrödinger’s Manhattan headquarters for an immersive session with the Dr. Abba Leffler and his team of research scientists and engineers. This visit served as the first stop for Princeton’s New York Tiger Trek (NYTT), an annual, weeklong, student-led trip to New York City where select students engage in closed-door, intimate discussions with renowned founders, creators, and leaders in tech and entrepreneurship. Schrödinger, a global leader in chemical simulation and computational drug discovery, offered the perfect starting point for an exploration of how software is revolutionizing the life sciences. Against the backdrop of a fast-paced New York morning, the atmosphere was one of intense curiosity and mutual exchange.
The morning opened with an in-depth presentation on the technicalities of drug discovery and high-fidelity simulation at Schrödinger. The students and Dr. Abba Leffler’s team of scientists and engineers engaged in dialogue on the field’s recent bifurcations, specifically the shift from traditional trial-and-error models toward a “predict-first” paradigm. A central theme of the discussion was Schrödinger’s recent adaptation to the generative AI surge: the integration of massive-scale machine learning with their foundational physics-based scoring. The team demonstrated how, by using AI to navigate billions of potential molecules and physics to provide the “ground truth” for binding affinity, the are effectively compressing years of laboratory timelines into months of digital discovery.
Following this presentation, the true core of the morning began as the floor opened into a general Q&A, shifting from a technical deep dive into a dynamic, back-and-forth exchange. The cohort challenged assumptions and explored the real-world implications of Schrödinger’s work directly with the team. Yao Xiao, a sophomore studying Public and International Affairs, reflected on his experience: “What left the strongest impression on me was the passion behind the people we met; their willingness to share advice and reflect on their own career paths created an atmosphere that was genuinely welcoming. I was struck by how much their work depends on curiosity across different disciplines, and I walked away realizing that keeping an open, exploratory mindset is just as important as expertise in any one field.”
As the session drew to a close, the cohort left with more than just a technical understanding of molecular modeling: they left with a new framework for how leadership and scientific rigor can coexist at scale. The visit was a powerful reminder that the most significant breakthroughs often happen at the intersection of disparate fields. By the time that the floor closed for the final question-and-answer, it was clear that this meeting was about more than software and biology, it was a glimpse into the future of how humanity will solve its most complex physical challenges.
