Undergraduate Researcher for integration of molecular biology and machine learning - Industrial Engineering and Management Systems


For this project, we will be exploring the integration of molecular biology and machine learning with complex analysis relying on quantum computing. To start off, protein folding is an incremental process. Proteins are biological polymers of amino acids, and each have different physiological effects. There are thousands of undiscovered protein structures that discoveries could revolutionize the medical industry and save lives through new drugs. Quantum computing, with its unique capabilities for processing large amounts of information simultaneously and performing complex simulations, has the potential to significantly advance our understanding of protein folding and drug design. For example, quantum computing could be used to simulate the folding pathways of proteins more accurately and efficiently, and to optimize the design of drugs that interact with specific proteins. Through a database of known proteins, we can use A.I to parse through and predict new structures and functions as well. Students from all academic backgrounds are welcome as we will be working closely with all engineering and biology disciplines.

Project Dates

Start Date: 2/28/2023 - End Date: 5/6/2023

Students Needed

Type of Project

Team

Student Responsibilities

For this project, we will be exploring the integration of molecular biology and machine learning with complex analysis relying on quantum computing. To start off, protein folding is an incremental process. Proteins are biological polymers of amino acids, and each have different physiological effects. There are thousands of undiscovered protein structures that discoveries could revolutionize the medical industry and save lives through new drugs. Quantum computing, with its unique capabilities for processing large amounts of information simultaneously and performing complex simulations, has the potential to significantly advance our understanding of protein folding and drug design. For example, quantum computing could be used to simulate the folding pathways of proteins more accurately and efficiently, and to optimize the design of drugs that interact with specific proteins. Through a database of known proteins, we can use A.I to parse through and predict new structures and functions as well. Students from all academic backgrounds are welcome as we will be working closely with all engineering and biology disciplines.

Time Commitment

negotiable hour(s)

Student Requirements

For this project, we will be exploring the integration of molecular biology and machine learning with complex analysis relying on quantum computing. To start off, protein folding is an incremental process. Proteins are biological polymers of amino acids, and each have different physiological effects. There are thousands of undiscovered protein structures that discoveries could revolutionize the medical industry and save lives through new drugs. Quantum computing, with its unique capabilities for processing large amounts of information simultaneously and performing complex simulations, has the potential to significantly advance our understanding of protein folding and drug design. For example, quantum computing could be used to simulate the folding pathways of proteins more accurately and efficiently, and to optimize the design of drugs that interact with specific proteins. Through a database of known proteins, we can use A.I to parse through and predict new structures and functions as well. Students from all academic backgrounds are welcome as we will be working closely with all engineering and biology disciplines.

Interested in Working With the Following Programs

Research and Mentoring Program

Additional Notes

Position Overview

  • Date Posted: 04-19-2023
  • Research Categories:
    • Computer Science
    • Health Sciences
    • Life Sciences
    • Physical Sciences
  • Location:
    • Orlando (Main Campus)
  • Paid: No