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School of Computer Science News

Designing the Future of Tech Governance AI, Single-Cell Technology Reveal How 3D Genome Differs in People With Alzheimer's Disease Tepper School of Business and School of Computer Science Partner to Launch AI for Business Executive Education Program Carnegie Mellon Researchers Lead Three DOE Genesis Mission Awards to Advance the Future of AI-Enabled Scientific Discovery Snake Robots Support Earthquake Search and Rescue in Venezuela Lindlbauer Receives NSF CAREER Award for Adaptive Extended Reality Interfaces Fredrikson Earns Test of Time Award for AI Security CMU Advances Defense Manufacturing and Military Education at Pennsylvania Defense and Innovation Summit Looking Ahead: AI Needs UI Liu Receives NSF CAREER Award Carnegie Foundry, Carnegie Mellon and American Drone Manufacturers Launch Initiative to Supercharge America Stepping Toward Better Mobility Natalie Hatcher Turns Closed Doors Into Open Futures for High School Students - The Piper - Carnegie Mellon University When One Drone Isn’t Enough: CMU Builds Swarms for High-Stakes Response Efforts Carnegie Mellon’s Richard King Mellon Hall of Sciences Enters New Phase of Construction Researchers Channel AI To Solve Open Mathematical Problems Fujitsu Joins CMU Robotics Innovation Center The Missing Infrastructure for AI-Powered Robots - Robotics Institute Carnegie Mellon University Carnegie Mellon University Selects OptiTrack as Motion Capture Technology Partner for New Robotics Innovation Center | Optitrack.com | Optitrack.com CMU Team Rises to Amazon Nova AI Challenge - Language Technologies Institute - School of Computer Science - Carnegie Mellon University NoRILLA Wins Global Competition Don’t Let FOMO Be Your Organization’s AI Strategy CMU Researchers Train Robots With Internet Videos - Robotics Institute Carnegie Mellon University Carnegie Mellon and Meta Partner To Develop AI Tools for Emergency Response Singing a New Tune: Computational Music — The Link - The Magazine of CMU's School of Computer Science Pathak Receives 2026 PAMI Young Researcher Award Carnegie Mellon Team Helps Farmers Fight Crop Disease With Robots EcoAssist Shows Devs Greener Ways to Code Bacteria Can Learn and Form Memories Without a Brain Sandholm Receives SIGecom Test of Time Award SURF Grant Powers Research Into the Genetics of Bipolar Disorder Chen Receives NSF CAREER Award for Research in Machine Learning Systems Vatican Calls on Waibel to Help Shape AI Ethics — The Link - The Magazine of CMU's School of Computer Science Frank Pfenning Receives Herbrand Award How Do Boomers Really Feel About AI? 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Kaplow Named 2026 Searle Scholar
2026-05-09 · via School of Computer Science News

Irene Kaplow, an assistant professor in the Ray and Stephanie Lane Computational Biology Department and the Department of Biological Sciences, has been named a 2026 Searle Scholar, joining a class of 15 early career scientists recognized for innovative biomedical research and exceptional promise.

The honor, awarded by the Searle Scholars Program, provides funding to support high-risk, high-reward research across disciplines in the biological and chemical sciences. Each year, a select group of scientists is chosen based on the originality of their research and potential for significant scientific contributions.

Laptop stock image.
Irene Kaplow, an assistant professor in the Ray and Stephanie Lane Computational Biology Department and the Department of Biological Sciences, has been named a 2026 Searle Scholar.

Kaplow’s research focuses on how genetic regulation drives the evolution of traits across species, with an emphasis on noncoding regions of the genome known as enhancers. These regions control when and where genes are expressed and can help explain how similar traits arise independently in different mammals. Her work uses machine learning to identify tissue-specific enhancer activity linked to evolutionary traits and to improve predictions across species.

Her current research aims to distinguish between genetic signals tied to long-term evolutionary traits and those influenced by environmental factors such as diet. By developing new computational methods, including a domain-specific language model, her lab seeks to separate stable enhancer activity from changes driven by available resources or lifestyle. Her team's initial studies focus on liver enhancers and dietary traits, with broader applications for understanding how genetics and environment shape gene regulation in health and disease.

For more information, visit the Searle Scholars website.