AI-enhanced wearable biosensor system for objective and proactive mental healthcare
Current psychiatric practices for diagnosing mental illness based on consultation and questionnaires are intermittent and subjective in nature. Here, we propose to develop an AI-enhanced wearable system for real-time and quantitative assessment of mental health. Utilizing aptamer-based non-invasive biosensors integrated with wireless flexible electronic patches, our technology can provide continuous monitoring of biomarkers relevant to psychological states. Through advanced algorithms based on artificial neural networks, our system will allow superior sensitivity and specificity compared to traditional methods. Our goal is to achieve a clinically-deployable prototype with robust biomarker detection and algorithmic prediction capabilities, paving the way towards proactive mental healthcare.
Pediatric Anesthesiologist at CHOP Seeking Motivated Students Interested in Biomedical Research
Research position for motivated undergraduate student interested in topics on EEG signal processing, machine learning, biomedical informatics to improve outcomes, or hospital sustainability topics.
Intestinal homeostasis, inflammation, and cancer: From in vivo studies to cellular and molecular mechanisms
Join us to study how the local tissue microenvironment controls homeostasis and disease in the gut, with in vivo, in vitro, and in silico approaches.
Sports Analytics: Using data to change the way sports are played, managed and developed
Sports and gaming have been revolutionized by data analytics, popularized by Michael Lewis' book "Moneyball". I supervise many different research project across sports and games (including betting) that use data to learn new things.
Developing Closed Loop Systems for Control of Motor Brain Computer Interfaces
Help develop a novel system for closed loop control of brain computer interfaces in the operating room
Human genetics in an evolutionary context
What makes us genetically different from each other? Join us to understand genetic variation in an evolutionary context
Natural and Nature-Inspired Materials
Come and join us to explore the materials science secrets behind tough and strong seashells, lightweight sponges, iridescent exoskeletons, image-forming mineral eyes, and more!
Research Opportunities on Neurodegeneration, Genomics, and Bioinformatics
The Cheng lab at Penn Medicine welcomes undergraduate students at all levels join us and work at the intersection of genomics, computation biology, and neuroscience.
Interfacial Engineering and Fluid Mechanics for Water and Sustainability
Conduct experimental research on nanoengineered materials for applications in sustainability including water remediation, carbon capture, and design of sustainable materials.