Mintz, Max
Engineering and ComputingComputer and Information Science
Network for Open Mobility Analysis and Datasets
This is an multi-faceted open-science project with the goal of increasing access and facilitating analysis of GPS human mobility datasets. By participating in this research project you will have the opportunity to learn how to process massive spatio-temporal data, front-end development, as well as an LLM-related project to automatically classify scientific literature in the field of human mobility science. More information here: nomad.seas.upenn.edu
Machine learning for cancer research
Interested in applying machine/deep learning for cancer research? We are looking for a part time computational research assistant/programmer to join our lab for an hourly paid position. Ideal for MS students or BS CIS/engineering students in their final year, who want to use their comp skills to make discoveries.
Computational Social Science
I am broadly interested in topics at the intersection of social science and computer science, with a particular interest in computational studies of media, collective intelligence, network diffusion, and common sense.
Computer Vision and Machine Learning Applied in Robotics Contexts
The central focus of our research program is versatile robotic control through tight integration with visual perception and other general-purpose high-bandwidth sensing modalities such as touch. Through this, our aim is to enable robots to operate usefully in our homes, workplaces, and everyday lives.
Jayaraman Dinesh
Cross-Cultural Language Analysis of Social Data
Applications of natural language to health and psychology, especially but not limited to – social norms, vaccine acceptance, and global mental health.
Guntuku Sharath Chandra
Learning Directed Operating System
We are building the next-generation Machine Learning-based Operating System to drive computing infrastructure toward high efficiency and performance.
Angel Sebastian
Programming Languages, Software Verification
Learn about functional programming, low-level code, and compilers; build reliable software using interactive theorem proving.
Zdancewic Steve
Developing Biochemical & Computational Diagnostics in Mitochondrial Disease
We use human cell lines as well as statistical learning approaches to study biochemical abnormalities that occur in primary mitochondrial disease, with a core goal of improving our ability to rapidly diagnose mitochondrial disease.
Rebecca Ganetzky
Soft and Origami Robotics
We are interested in how compliant mechanisms improve robot performance.
Sung Cynthia
Computer and Information Science