AI for Scientific Research (GY)

AI for Scientific Research (AIfSR) is a student-managed group made up of consulting-like teams developing and delivering AI-enabled products of real value to scientific labs. Since our founding in Spring 2021, we have developed and delivered AI/ML-driven solutions to multiple collaborators (more information below).

We invite bachelors and masters students who have interest/skills in:

• Artificial Intelligence/Machine Learning 
• Research experience in natural sciences
• Leadership and management
• Scientific writing and marketing (potential role in new semester)

Projects

Each semester, we work on a unique set of projects. Here are some we have worked on/ are working on currently.

Biology

• Vaccination response prediction​
• Sleep patterns classification in EEG data​
• Microscopy images segmentation: cells​
• Tracking of cells moving under microscope​
• Image-based prediction for worms embryonic lethality ​
• Symptoms of Malaria​
• Genetics​

Chemistry

• Inverse task: current in batteries from magnetic field​
• Material properties prediction from structure​

Physics

• Focused Ion Beam (FIB) profiles​
• Trajectory of particles under microscope​
• Spectroscopy for microdiamonds​

Psychology

• A Generative Model for Neurolinguistics of Morphology​
• Generic gender categories labeling in text​

Scientific Software

• Automatic annotation of scientific figures​
• Parsing scientific papers from PDF​
• Benchmarking of CloudMask project on NYU HPC​

Collaborators

For each of our projects, we have a collaborator (professor/researcher). We work(ed) with collaborators from NYU CAS, NYU Abu Dhabi, ML Commons, Semantic Scholar just to name a few! 

Methods & Technologies

• Data mining / analysis / visualization
• Statistics
• Data Science
• Machine learning
• Artificial Intelligence
• Development of interdisciplinary connections
• Coding / Implementation 

View detailed description of our methods