Jasmine Khalil

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About Me

Hi! I’m Jasmine Khalil, a first-year PhD student in the Medical Engineering Discovery (MED) Lab at Vanderbilt University’s Vanderbilt Institute for Surgery and Engineering (VISE). I earned my B.S. in Electrical Engineering from Penn State University, where I was a Schreyer Honors Scholar.

My research interests lie at the intersection of computer vision, robotics, machine learning, and healthcare. I am particularly interested in developing intelligent and autonomous systems that can improve patient care, enhance surgical safety, and expand access to healthcare. My research and professional experiences have spanned medical robotics, computer vision, artificial intelligence, medical simulation, computational science, and healthcare applications of machine learning.

I am also an IBM Graduate Fellow at Vanderbilt University, where I am pursuing research focused on advancing the use of AI and robotic technologies for healthcare.

I enjoy working on challenging, interdisciplinary problems and translating technical ideas into practical solutions. My goal is to contribute to the development of innovative technologies that make healthcare safer, more effective, and more accessible.

Research & Professional Experience

Some of my recent research and professional experiences include:

  • IBM Graduate Fellow at Vanderbilt University, supporting research at the intersection of artificial intelligence, robotics, and healthcare.
  • Moncrief Summer Intern at the Computational Visualization Center at the Oden Institute for Computational Engineering and Sciences at The University of Texas at Austin, where I conducted research under the mentorship of Dr. Chandrajit Bajaj.
  • Researcher in the DIMACS REU Program at Rutgers University, where I conducted research under the mentorship of Dr. Pierre C. Bellec.
  • Cornell Break Through Tech Fellow, participating in industry-focused artificial intelligence and machine learning projects, technical training, and professional development through Break Through Tech.
  • Collaborated with Applied AI/ML researchers at J.P. Morgan to develop machine learning approaches for predicting short-term price movements in financial markets during the closing minutes of Nasdaq trading sessions.

Teaching, Mentorship & Service

I am passionate about teaching, mentorship, and creating opportunities for students to explore engineering and technology. Currently, I serve as a Robotics Volunteer Coach at St. Cecilia Academy, where I help students develop skills in robotics, programming, engineering design, problem-solving, and teamwork.

During my time at Penn State, I served as the Teaching Assistant and Coordinator for the Electrical Engineering First-Year Seminar, where I helped teach and mentor first-year engineering students through hands-on microcontroller and Arduino-based projects.

I was also actively involved in engineering honor societies and professional organizations, including: