Bioinformatics and Genomics Research Opportunities
Our laboratory develops advanced bioinformatics methods to uncover the genetic basis of human disease and leverages artificial intelligence (AI) and machine learning (ML) to integrate multiomics data with electronic health records (EHR), advancing the promise of precision medicine.
Real-time Clinical AI Systems in Tsui Lab
The Tsui lab works on real-time clinical AI and machine learning research and deployment for solving real-world problems using real-world data.
Robotic Fabrication & Generative Design
The Autonomous Manufacturing Lab combines research into computational approaches to architectural design with autonomous robot manufacturing capabilities, leveraging computer vision, machine learning and multi-agent systems to develop behavior-based approaches to design, fabrication and construction.
Integrated Circuits For Imaging, Sensing, Communication, and Autonomous Systems
Electronic and photonic circuit design for imaging, communication, and bio-technology.
PET Imaging and Instrumentation
Research projects cover aspects of hardware development (electronics, radiation detectors, mechanical design), Monte Carlo simulation for new system designs, optimization of imaging protocols, data corrections for generating quantitative images, and task-based image analysis.
Understanding Human Brain Function and Individual Differences
We use multiple functional neuroimaging modalities and data modeling techniques to understand human brain function and individual differences in cognition and decision-making.
Data-Driven Research on Contemporary Literature, Cinema, and Art
Gathering and analyzing data about rating and ranking systems in literature and the arts.
Automatic retrieving pharmacological effects of substances from websites
The project is to write program codes to retrieve pharmacological effects of substances from public websites.
Clinical Use and Impact Of Innovative Information Technology Tools
We have created a clinical information tool for clinicians to use while caring for patients that integrates with our electronic health records and is used by 5000 clinicians at Penn a month. There are opportunities to research the effects of its use and impact at Penn both on clinician experience as well ass patient experience/outcomes.
Mitchell Lab - Overcoming Biological Barriers To Drug Delivery
Our research lies at the interface of biomaterials science, drug delivery, and cellular and molecular bioengineering to fundamentally understand and therapeutically target biological barriers.