Jasmine Khalil

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Hi! I’m Jasmine Khalil, a first-year PhD student and IBM fellow in the Medical Engineering Discovery MEDLab 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 and expand access to healthcare.

Some of my recent research and professional experiences include:

  • 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.

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 a Teaching Assistant and Mentor for the Electrical Engineering First-Year Seminar, where I helped teach and mentor first-year engineering students through hands-on microcontroller projects. I was also involved in engineering honor societies, including Eta Kappa Nu (HKN), and Tau Beta Pi.