Coral Growth & Reef Habitat Monitoring Using 3D Model Reconstructions
Join a coral reef monitoring project where you’ll turn underwater photo surveys into measurements of coral growth and reef change through time. You’ll learn practical workflows in 3D imaging and reef mapping while contributing to publishable research.
Exploring ML-based compression for rapid release of astronomical alerts
The Rubin Observatory will see millions of "transients" a night, but cannot release all of these to the wider astronomical community without heavily filtering them. We will explore recent advances in machine learning techniques that produce optimal compressions to address this problem.
Why do bones fracture? Building a computational and experimental mechanics framework
Much of what we know about bone fracture comes from single-event, equilibrium tests at large length scales. However, most fractures initiate at much smaller scales and develop gradually under repeated, cyclic loading as occurs during daily activity. Bone resists this damage remarkably well, in part because of its hierarchical structure: nanoscale collagen–mineral fibrils interact to slow crack growth and give the body time to repair itself. Understanding how these mechanisms operate across length scales is essential for improving treatments for bone fragility and inspiring tougher synthetic materials.
Efficient AI-driven System Optimizers with Adaptive Transformers
Modern AI-driven system optimizers are hitting a wall, crippled by massive computational costs and an inability to navigate the overwhelming complexity of high-dimensional data. This project tackles the array of bottlenecks that prevent these systems from scaling.
Building on the Fly by Design: How Policymakers Create Innovative Solutions to Wicked Problems
In this project, students will help to understand how senior leaders make decisions in the face of an unprecedented health care emergency. While an enormous amount of work goes into preparing for disaster, what happens when the disaster is so much worse than predicted that none of the plans apply anymore? How do leaders make critical decisions in a crisis of exceptional size and scope? How do they collaborate across sectors, and innovate beyond traditional processes and methods in this kind of a crisis?
Computational Methods for Cancer and Neurodegenerative Diseases
We are seeking self-motivated students to join our lab and develop computational methods for discovering disease biomarkers and therapeutic drug targets.
Research Assistant - Textual Analysis
Prof. Lu Liu at the Wharton School and Prof. Julia Fonseca at Gies College of Business are seeking an undergraduate research assistant at the University of Pennsylvania to assist with textual analysis of a large dataset. The ideal candidate will have strong skills in programming, data processing, and natural language processing.
Research on Steady-State Microbial Behavior Associated with Early-Evolving Metabolisms
The Penn Geomicrobiology Laboratory is looking for a student researcher to support laboratory-based research activities associated with steady-state microbial growth via anaerobic chemostat cultivation at high temperatures.
Building Better Agentic AI browsers
We aim to build the next generation of agentic AI browsers -- systems like OpenAI Atlas or Perplexity Comet -- with much faster performance while maintaining high accuracy.
Effects of industrial noise on animals in public lands
Contribute to keeping public lands undisturbed from industrial noise